{"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":4729,"databundleVersionId":868320,"sourceType":"competition"}],"dockerImageVersionId":30646,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## Patient Class\nAn object oriented way of loading a DICOM image, each patient containing the following\n* A 4D image: $\\mathbb{R}^d$ where the dimensionality $d$ is given as $slices \\times time \\times height \\times width$\n* Pixel to millimeter ratio (width- and height-wise)\n* Spacing between slices (depth-wise)\n","metadata":{}},{"cell_type":"code","source":"import pydicom as dicom\nimport re\nimport os\nimport numpy as np\n\nclass Patient(object):\n    def __init__(self, directory, subdir):\n        # deal with any intervening directories\n        while True:\n            #print(directory)\n            subdirs = next(os.walk(directory))[1]\n            #print(subdirs)\n            if len(subdirs) == 1:\n                directory = os.path.join(directory, subdirs[0])\n            else:\n                break\n\n        slices = []\n        for s in subdirs:\n            m = re.match(\"sax_(\\d+)\", s)\n            if m is not None:\n                slices.append(int(m.group(1)))\n\n        slices_map = {}\n        first = True\n        times = []\n        for s in slices:\n            files = next(os.walk(os.path.join(directory, \"sax_%d\" % s)))[2]\n            offset = None\n\n            for f in files:\n                m = re.match(\"IM-(\\d{4,})-(\\d{4})\\.dcm\", f)\n                if m is not None:\n                    if first:\n                        times.append(int(m.group(2)))\n                    if offset is None:\n                        offset = int(m.group(1))\n\n            first = False\n            slices_map[s] = offset\n\n        self.directory = directory\n        self.time = sorted(times)\n        self.slices = sorted(slices)\n        self.slices_map = slices_map\n        self.name = subdir\n\n    def _filename(self, s, t):\n        fname = os.path.join(self.directory,\n                                 \"sax_%d\" % s, \n                                 \"IM-%04d-%04d.dcm\" % (self.slices_map[s], t))\n        return fname\n\n    def _read_dicom_image(self, filename):\n        d = dicom.read_file(filename)\n        img = d.pixel_array\n        return np.array(img)\n\n    def _read_all_dicom_images(self):\n        f1 = self._filename(self.slices[0], self.time[0])\n        f2 = self._filename(self.slices[1], self.time[0])\n        \n        d1 = dicom.read_file(f1)\n        d2 = dicom.read_file(f2)\n        \n        (x, y) = d1.PixelSpacing\n        (x, y) = (float(x), float(y))\n        self.col_scaling = x\n        self.row_scaling = y\n        \n        # try a couple of things to measure distance between slices\n        try:\n            dist = np.abs(d2.SliceLocation - d1.SliceLocation)\n        except AttributeError:\n            try:\n                dist = d1.SliceThickness\n            except AttributeError:\n                dist = 8  # better than nothing...\n\n        # 4D image array\n        self.images = np.array([[self._read_dicom_image(self._filename(d, i))\n                                for i in self.time]\n                                for d in self.slices])\n        \n        # Distance between slices in mm\n        self.dist = dist\n        \n        # Calculate depth as distance between slices times no. of slices\n        self.deph_mm = self.dist * (self.images.shape[0] - 1)\n        \n        # Area scaling, mm per pixel\n        self.area_multiplier = x * y\n        \n        # Orientation\n        self.orientation = d1.ImageOrientationPatient\n        \n    def load(self):\n        self._read_all_dicom_images()","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:53:52.654889Z","iopub.execute_input":"2024-02-16T17:53:52.655361Z","iopub.status.idle":"2024-02-16T17:53:52.682798Z","shell.execute_reply.started":"2024-02-16T17:53:52.655323Z","shell.execute_reply":"2024-02-16T17:53:52.681403Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"markdown","source":"## Loading Patients\n* Load all patients using the Patient class above","metadata":{}},{"cell_type":"code","source":"def load_patient(patient_id, root_dir=None):\n    if not root_dir: \n        root_dir =  os.path.join(\"..\" ,\"input\",\"second-annual-data-science-bowl\", \"train\",\"train\")\n    patient_id = str(patient_id)\n    base_path = os.path.join(root_dir, patient_id)\n    try:\n        tdata = Patient(base_path, patient_id)\n        tdata.load()\n        # If data does not contain 4 dimensions, throw it away\n        print(tdata)\n        if len(tdata.images.shape) == 4:\n            print('yes')\n            return tdata\n    except (ValueError, TypeError, IndexError, AttributeError, FileNotFoundError):\n        print('Patient %s could not be loaded.' % patient_id)\n        return None\n    \ndef load_multiple_patients(patient_ids=False, root_dir=None, verbose=False):\n    \"\"\"\n    :param patient_ids: ids of patients to load [list of integers]\n    :param root_dir: name of root dir, defaults to Kaggle root directory [string]\n    :param verbose: Whether to print every patient id when loading [boolean]\n    :return: list of [Patient] objects\n    \"\"\"\n    # If no ids are specified load all from 1-500\n    if not patient_ids:\n        patient_ids = range(1, 501)\n    patient_list = []\n    for pid in patient_ids:\n        if verbose:\n            print('Loading patient %i...' % pid)\n        p_data = load_patient(pid, root_dir=root_dir)\n        if p_data:\n            patient_list.append(p_data)\n    return patient_list","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:53:59.194737Z","iopub.execute_input":"2024-02-16T17:53:59.195185Z","iopub.status.idle":"2024-02-16T17:53:59.206812Z","shell.execute_reply.started":"2024-02-16T17:53:59.195155Z","shell.execute_reply":"2024-02-16T17:53:59.20553Z"},"trusted":true},"execution_count":30,"outputs":[]},{"cell_type":"markdown","source":"## Fourier Transform\n* Used for identifying regions with movement over time, in this case the left heart ventricle","metadata":{}},{"cell_type":"code","source":"import numpy as np\n\n# Based on https://gist.github.com/ajsander/fb2350535c737443c4e0#file-tutorial-md\ndef fourier_time_transform_slice(image_3d):\n    '''\n    3D array -> 2D array\n    [slice, height, width] -> [height, width]\n    Returns (width, height) matrix\n    Fourier transform for 3d data (time,height,weight)\n    '''\n    # Apply FFT to the selected slice\n    fft_img_2d = np.fft.fftn(image_3d)[1, :, :]\n    retff= np.abs(np.fft.ifftn(fft_img_2d))\n    #plt.imshow(retff)\n    return retff\n\ndef fourier_time_transform(patient_images):\n    '''\n    4D array -> 3D array (compresses time dimension)\n    Concretely, [slice, time, height, width] -> [slice, height, width]\n    Description: Fourier transform for analyzing movement over time.\n    '''\n\n    ftt_image = np.array([\n        fourier_time_transform_slice(patient_slice)\n        for patient_slice in patient_images\n    ])\n    #print(ftt_image)\n    return ftt_image","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:03.097519Z","iopub.execute_input":"2024-02-16T17:54:03.097944Z","iopub.status.idle":"2024-02-16T17:54:03.107051Z","shell.execute_reply.started":"2024-02-16T17:54:03.097916Z","shell.execute_reply":"2024-02-16T17:54:03.105467Z"},"trusted":true},"execution_count":31,"outputs":[]},{"cell_type":"markdown","source":"## Segmentation\n* Here, K means is used for finding a fitting threshhold for segmentation\n* The image is then segmented using the threshhold, effectively making every pixel either foreground (white = 1) or background (black = 0)\n* Lastly, by using an average of segmented pixel intesities, we identify the region of interest","metadata":{}},{"cell_type":"code","source":"import numpy as np\nfrom skimage.morphology import binary_dilation, binary_erosion, binary_opening, binary_closing, disk\nfrom skimage.filters import threshold_otsu\n\n\ndef thresh_segmentation(patient_img):\n    \"\"\"Returns matrix\n    Segmententation of patient_img with k-means\n    \"\"\"\n    #Z = np.float32(np.ravel(patient_img))\n    #criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0)\n    #flags = cv2.KMEANS_RANDOM_CENTERS\n    #compactness, labels, centers = cv2.kmeans(Z, 2, None, criteria, 10, flags)\n    #center = np.uint8(centers)\n    thresh = threshold_otsu(patient_img)\n    binary = patient_img > thresh\n    return binary\n\ndef segment_multiple(patient_img):\n    \"\"\"Returns list\n    List of segmented slices with function thresh_segmentation()\n    \"\"\"\n    num_slices, height, width = patient_img.shape\n    segmented_slices = np.zeros((num_slices, height, width))\n\n    for i in range(num_slices):\n        seg_slice = thresh_segmentation(patient_img[i])\n        if seg_slice.sum() > seg_slice.size * 0.5:\n            seg_slice = 1 - seg_slice\n        segmented_slices[i] = seg_slice\n\n    return segmented_slices\n\ndef roi_mean_yx(patient_img):\n    \"\"\"Returns mean(y) and mean(x) [double]\n    Mean coordinates in segmented patients slices.\n    This function performs erosion to get a better result.\n    Original: See https://nbviewer.jupyter.org/github/kmader/Quantitative-Big-Imaging-2019/blob/master/Lectures/06-ShapeAnalysis.ipynb\n    \"\"\"\n    seg_slices = segment_multiple(patient_img)\n    num_slices = seg_slices.shape[0]\n    y_all, x_all = np.zeros(num_slices), np.zeros(num_slices)\n    neighborhood = disk(2)\n    \n    for i,seg_slice in enumerate(seg_slices):\n        # Perform erosion to get rid of wrongly segmented small parts\n        seg_slices_eroded = binary_erosion(seg_slice, neighborhood) \n        \n        # Filter out background of slice, after erosion [background=0, foreground=1]\n        y_coord, x_coord = seg_slices_eroded.nonzero()\n        \n        # Save mean coordinates of foreground \n        y_all[i], x_all[i] = np.mean(y_coord), np.mean(x_coord)\n    \n    # Return mean of mean foregrounds - this gives an estimate of ROI coords.\n    mean_y = int(np.mean(y_all))\n    mean_x = int(np.mean(x_all))\n    return mean_y, mean_x","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:08.71541Z","iopub.execute_input":"2024-02-16T17:54:08.7158Z","iopub.status.idle":"2024-02-16T17:54:08.735082Z","shell.execute_reply.started":"2024-02-16T17:54:08.715771Z","shell.execute_reply":"2024-02-16T17:54:08.73385Z"},"trusted":true},"execution_count":32,"outputs":[]},{"cell_type":"markdown","source":"## Histogram Normalize\nApply histogram normalization to each 2d image in the 4d image\n\n* source: https://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html","metadata":{}},{"cell_type":"code","source":"from skimage import exposure\n\ndef histogram_normalize_4d(images, clip_limit=0.03):\n    slices, time, _, _ = images.shape\n    norm_imgs_4d = np.empty(images.shape)\n    for i in range(slices):\n        for j in range(time):\n            norm_imgs_4d[i,j] = exposure.equalize_adapthist(images[i,j].astype(np.uint16), \n                                                            clip_limit=clip_limit)\n    return norm_imgs_4d","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:12.852261Z","iopub.execute_input":"2024-02-16T17:54:12.852667Z","iopub.status.idle":"2024-02-16T17:54:12.860101Z","shell.execute_reply.started":"2024-02-16T17:54:12.852637Z","shell.execute_reply":"2024-02-16T17:54:12.858811Z"},"trusted":true},"execution_count":33,"outputs":[]},{"cell_type":"markdown","source":"## Rescale Patient Images\nPatient data has been gathered on different devices, resulting in different image dimensions across patients. However, all DICOM images contain metadata about the scaling of the images, which we will use to normalize patient images.\nNext, we would like to remove unnecessary data, i.e. everything that is not the heart, since this cuts down on the input size for the data analysis.\n\nThe pre-processing is therefore a 2-step process:\n* Rescale patient images, such that 1 pixel = 1 mm\n* Crop out Region of Interest (Heart)","metadata":{}},{"cell_type":"code","source":"import cv2\n\ndef rescale_patient_4d_imgs(patient):\n    img_4d = patient.images\n    if len(img_4d.shape) < 4: raise Exception(\"Patient images are not 4D!\")\n    num_slices, time, _, _ = img_4d.shape\n    \n    # Extract scaled DICOM width/height multipliers\n    # http://dicom.nema.org/dicom/2013/output/chtml/part03/sect_10.7.html\n    fx, fy = patient.col_scaling, patient.row_scaling\n    \n    # Rescale the first 2d image, in order to find out the resulting dimensions\n    example_img = cv2.resize(src=img_4d[0,0], dsize=None, fx=fx, fy=fy)\n    scaled_height, scaled_width = example_img.shape\n    scaled_imgs = np.zeros((num_slices, time, scaled_height, scaled_width))\n    \n    for i in range(num_slices):\n        for j in range(time):\n            scaled_imgs[i,j] = cv2.resize(src=img_4d[i,j], dsize=None, fx=fx, fy=fy)\n    \n    return scaled_imgs\n\ndef crop_roi(img, dim_y, dim_x, cy, cx):\n    \"\"\"\n    Crops an image from the given coords (cy, cx), such that the resulting img is of\n    dimensions [dim_y, dim_x], i.e. height and width.\n    Resulting image is filled out from top-left corner, and remaining pixels are left black.\n    \"\"\"\n    cy, cx = int(round(cy)), int(round(cx))\n    h, w = img.shape\n    if dim_x > w or dim_y > h: raise ValueError('Crop dimensions larger than image dimension!')\n    new_img = np.zeros((dim_y, dim_x))\n    dx, dy = int(dim_x / 2), int(dim_y / 2)\n    dx_odd, dy_odd = int(dim_x % 2 == 1), int(dim_y % 2 == 1)\n\n    # Find boundaries for cropping [original img]\n    dx_left = max(0, cx - dx)\n    dx_right = min(w, cx + dx + dx_odd)\n    dy_up = max(0, cy - dy)\n    dy_down = min(h, cy + dy + dy_odd)\n\n    # Find how many pixels to fill out in new image\n    range_x = dx_right - dx_left\n    range_y = dy_down - dy_up\n    \n\n    # Fill out new image from top left corner\n    # Leave pixels outside range as 0's (black)\n    new_img[0:range_y, 0:range_x] = img[dy_up:dy_down, dx_left:dx_right]\n    return new_img\n\ndef crop_heart(images_4d, heart_pixel_size=200):\n    # Find center for cropping\n    ft_imges = fourier_time_transform(images_4d)\n    y, x = roi_mean_yx(ft_imges)\n    \n    # Create new 4d image array\n    num_slices, time, h, w = images_4d.shape\n    heart_cropped_img_4d = np.zeros((num_slices, time, heart_pixel_size, heart_pixel_size))\n    \n    for i in range(num_slices):\n        for j in range(time):\n            heart_cropped_img_4d[i,j] = crop_roi(images_4d[i,j], heart_pixel_size, heart_pixel_size, y, x)\n    \n    return heart_cropped_img_4d\n\ndef rotate_images_210_deg(images_4d, orientation):\n    \"\"\"\n    Return 4d image\n    Params 4d numpy, int\n    Idea from: kaggle.com/c/second-annual-data-science-bowl/discussion/19378\n    Description: \n                Rotates image if orientation angle is -30 degreees, which ensures\n                that the left ventricle is in the top right corner of the image.\n    \"\"\"\n    angle = np.arctan2(orientation[:3], orientation[:3]) / np.pi * 180 - 75\n    rotation_needed = angle[2] > (-210)\n    \n    # Check if rotation needed\n    if rotation_needed:\n        # Calculate resulting dimensions for numpy array\n        slices, time, _, _ = images_4d.shape\n        rot_width, rot_height = np.rot90(images_4d[0,0], k=1).shape\n        rot_images = np.zeros((slices, time, rot_width, rot_height))\n        \n        # Rotate images\n        for i in range(slices):\n            for j in range(time):\n                rot_images[i,j] = np.rot90(images_4d[i,j], k=1)\n        return rot_images\n    \n    # Otherwise if no rotation needed, return original images\n    return images_4d","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:16.484469Z","iopub.execute_input":"2024-02-16T17:54:16.484909Z","iopub.status.idle":"2024-02-16T17:54:16.507165Z","shell.execute_reply.started":"2024-02-16T17:54:16.484877Z","shell.execute_reply":"2024-02-16T17:54:16.505986Z"},"trusted":true},"execution_count":34,"outputs":[]},{"cell_type":"markdown","source":"## Segmenting the Left Ventricle","metadata":{"trusted":true}},{"cell_type":"code","source":"#!pip install scikit-image==0.15.0","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from scipy import ndimage as ndi\n\nfrom skimage.segmentation import watershed\nfrom skimage.feature import peak_local_max\n\n# Code from: https://nbviewer.jupyter.org/github/kmader/Quantitative-Big-Imaging-2019/blob/master/Lectures/07-ComplexObjects.ipynb\ndef watershed_img(image):\n    distance = ndi.distance_transform_edt(image)\n    coords = peak_local_max(distance, footprint=np.ones((40,40)), labels=image, exclude_border=True)\n    mask = np.zeros(distance.shape, dtype=bool)\n    mask[tuple(coords.T)] = True\n    markers, _ = ndi.label(mask)\n    ws_labels = watershed(-distance, markers, mask=image)\n    label_area_dict = {i: np.sum(ws_labels == i)for i in np.unique(ws_labels[ws_labels > 0])}\n    clean_label_maxi = markers.copy()\n    lab_areas = list(label_area_dict.values())\n    # Remove 20 percentile\n    area_cutoff = np.percentile(lab_areas, 50)\n    for i, k in label_area_dict.items():\n        if k <= area_cutoff:\n            clean_label_maxi[clean_label_maxi == i] = 0\n    # Watershed again\n    ws_labels = watershed(-distance, clean_label_maxi, mask=image)\n\n    return ws_labels","metadata":{"execution":{"iopub.status.busy":"2024-02-16T19:13:14.178329Z","iopub.execute_input":"2024-02-16T19:13:14.178798Z","iopub.status.idle":"2024-02-16T19:13:14.191973Z","shell.execute_reply.started":"2024-02-16T19:13:14.178766Z","shell.execute_reply":"2024-02-16T19:13:14.190335Z"},"trusted":true},"execution_count":117,"outputs":[]},{"cell_type":"code","source":"from skimage.measure import label\n\ndef labeled_segmented_images(images):\n    \"\"\"\n    Returns numpy array (4d)\n    Segments image and used watershed for labeling.\n    \"\"\"\n    \n    num_slices, time, height, width = images.shape\n    segmented_slices = np.zeros((num_slices, time, height, width))\n    \n    # Iterate over all slices and whole timeseries for images\n    for i in range(num_slices):\n        for j in range(time):\n            # Segmentation\n            seg_slice = thresh_segmentation(images[i,j])\n            \n            # Makes all segmented images same, Only used for Kmeans. (Background = 0)\n            #if seg_slice.sum() > seg_slice.size*0.5:\n            #    seg_slice = 1 - seg_slice\n            \n            # Watershed\n            #print(seg_slice.shape)\n            labels = watershed_img(seg_slice)\n            print('got')\n            # Writes labeled segmented object to return images                     \n            segmented_slices[i,j] = labels\n\n    return segmented_slices.astype(np.uint8)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:23:58.988804Z","iopub.execute_input":"2024-02-16T18:23:58.989819Z","iopub.status.idle":"2024-02-16T18:23:58.999466Z","shell.execute_reply.started":"2024-02-16T18:23:58.989781Z","shell.execute_reply":"2024-02-16T18:23:58.997913Z"},"trusted":true},"execution_count":65,"outputs":[]},{"cell_type":"code","source":"from skimage.measure import regionprops\n\ndef find_left_ventricle(images):\n    \"\"\"\n    Returns numpy array (4d)\n    Finds left ventricle from labeled segmented images\n    \"\"\"\n    \n    num_slices, time, height, width = images.shape\n    segmented_slices = np.zeros((num_slices, time, height, width))\n    \n    all_labels = labeled_segmented_images(images)\n    \n    # Iterate over all slices and whole timeseries for images\n    for i in range(num_slices):\n        for j in range(time):\n            \n            labels = all_labels[i,j]\n            min_dist = 50\n            min_dist_label = 0\n            segment_found =  False\n            \n            # Iterate over every label in watershed labels to predict which is the left ventricle.\n            for label in np.unique(labels):\n        \n                # yx coordinates for labaled segmentation\n                yx_coord_labels = np.where(labels == label)\n                \n                # Do not count small or big segmatations (removes dots and background)\n                if len(yx_coord_labels[0]) > 8000 or len(yx_coord_labels[0]) < 100:\n                    continue\n                \n                # Upper right middle coordinates\n                cx = 3*(height/4)\n                cy = width/4\n                \n                # Calculates euclidiean distance between mean coordinates for segmentated labels and middle of image\n                euclidiean_dist = np.sqrt((int(cy)-np.mean(yx_coord_labels[0]))**2+(int(cx)-np.mean(yx_coord_labels[1]))**2)\n                \n                # Gets min distance\n                if euclidiean_dist < min_dist:\n                    \n                    # Check if segment shape is round.\n                    regions = regionprops((labels == label).astype(int))\n                    props = regions[0]\n                    y0, x0 = props.centroid\n                    orientation = props.orientation\n                    x1 = x0 + np.cos(orientation) * 0.5 * props.major_axis_length\n                    y1 = y0 - np.sin(orientation) * 0.5 * props.major_axis_length\n                    x2 = x0 - np.sin(orientation) * 0.5 * props.minor_axis_length\n                    y2 = y0 - np.cos(orientation) * 0.5 * props.minor_axis_length\n                \n                    d1_dist = np.sqrt(abs(x0-x1)**2+abs(y0-y1)**2)\n                    d2_dist = np.sqrt(abs(x0-x2)**2+abs(y0-y2)**2)\n                    \n                    # Checks if segment is round.\n                    if abs(d1_dist-d2_dist) > 20:\n                        continue\n                    \n                    min_dist_label = label\n                    min_dist = euclidiean_dist\n                    segment_found = True\n            \n            # Checks if we found a image or not\n            if segment_found:\n                # Writes segmented object to return images                     \n                segmented_slices[i,j] = (labels == min_dist_label).astype(int)\n            else:\n                segmented_slices[i,j] = np.zeros(labels.shape)\n                \n    return segmented_slices.astype(np.uint8), all_labels.astype(np.uint8)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:30.340719Z","iopub.execute_input":"2024-02-16T17:54:30.341094Z","iopub.status.idle":"2024-02-16T17:54:30.360776Z","shell.execute_reply.started":"2024-02-16T17:54:30.341066Z","shell.execute_reply":"2024-02-16T17:54:30.359594Z"},"trusted":true},"execution_count":37,"outputs":[]},{"cell_type":"markdown","source":"## Complete Preproc Pipeline\nHeavily inspired by the this paper: https://arxiv.org/pdf/1809.06247.pdf","metadata":{}},{"cell_type":"code","source":"def preprocess_pipeline(patient, heart_pixel_size=150):\n    \"\"\"\n    [Patient Object] -> [4D np.array] (segmented left ventricle)\n    \n    Preprosessing pipeline for patient:\n        1. Rescale images (1 pixel = 1 mm)\n        2. Histogram Normalize (some images are brighter than others)\n        3. Crop images aroind ROI (identified using Fourier Transform over time)\n        4. Rotate images (such that left ventricle is in top right part of img)\n        5. Segment out left ventricle (for each 2d slice)\n    \"\"\"\n    \n    # Rescale images such that 1 pixel = 1 mm\n    rescaled_imgs = rescale_patient_4d_imgs(patient)\n    \n    # Histogram normalize\n    normalized_imgs = histogram_normalize_4d(rescaled_imgs)\n    print('done')\n    # Crop around ROI\n    cropped_imgs = crop_heart(normalized_imgs, heart_pixel_size=heart_pixel_size)\n   \n    # Rotate images\n    rotated_images = rotate_images_210_deg(cropped_imgs, patient.orientation)\n    \n    #return rotated_images\n    \n    # Segment out the left ventricle\n    segmented_left_ventricle_4d, labels = find_left_ventricle(rotated_images)\n    \n    return segmented_left_ventricle_4d","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:57:14.149309Z","iopub.execute_input":"2024-02-16T17:57:14.149836Z","iopub.status.idle":"2024-02-16T17:57:14.158441Z","shell.execute_reply.started":"2024-02-16T17:57:14.1498Z","shell.execute_reply":"2024-02-16T17:57:14.157072Z"},"trusted":true},"execution_count":45,"outputs":[]},{"cell_type":"markdown","source":"## Volume analysis","metadata":{}},{"cell_type":"code","source":"def smooth(y, box_pts):\n    box = np.ones(box_pts)/box_pts\n    y_smooth = np.convolve(y, box, mode='same')\n    return y_smooth\n\ndef volume_for_patient(patient_images, slice_dist):\n    \"\"\"\n    Return numpy array\n    Array of total volume at each time for segmented images\n    \"\"\"\n    \n    num_slices, time, height, width = patient_images.shape\n    volume = np.zeros((time))\n    \n    if slice_dist == 0:\n        print(\"WARNING! Slice ditance is: 0 \\n Setting slice distance to 10.\")\n        slice_dist = 10\n    \n    for i in range(time):\n        time_volume = 0\n        for j in range(num_slices):\n            xy_size = np.sum(patient_images[j,i])\n            time_volume = time_volume + xy_size * slice_dist\n            \n        # Volume in ml instead of mm^3\n        volume[i] = time_volume/1000\n        \n    # Smoothing volume with convolution and removes last elements\n    #smooth_volume = smooth(volume,4)[2:-2]\n    return volume #smooth_volume","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:40.191118Z","iopub.execute_input":"2024-02-16T17:54:40.191534Z","iopub.status.idle":"2024-02-16T17:54:40.201818Z","shell.execute_reply.started":"2024-02-16T17:54:40.191502Z","shell.execute_reply":"2024-02-16T17:54:40.200824Z"},"trusted":true},"execution_count":39,"outputs":[]},{"cell_type":"markdown","source":"## Viz","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nfrom skimage.util import montage as montage2d\n\nmontage3d = lambda x, **k: montage2d(np.stack([montage2d(y, **k) for y in x], 0))\n\ndef plot_patient_slices_3d(patient_slices, title=False, figsize=(20, 20)):\n    '''Plots a 2D image per slice in series (3D in total)'''\n    fig, ax = plt.subplots(1, 1, figsize=figsize)\n    image = montage2d(patient_slices)\n    if title: ax.set_title(title)\n    ax.imshow(image, cmap='bone')\n\n\ndef plot_patient_data_4d(patient_data, all_slices=False, num_slices=[0], figsize=(20, 20)):\n    '''Plots a 3D image per time step in patient data (4D in total)'''\n    if all_slices:\n        # Number of slices is equal to the first dimension of the patient image array\n        num_slices = range(patient_data.shape[0])\n    for i in num_slices:\n        plot_patient_slices_3d(patient_data[i],\n                               title=('Showing slice %i' % i))","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:43.875185Z","iopub.execute_input":"2024-02-16T17:54:43.875769Z","iopub.status.idle":"2024-02-16T17:54:43.88789Z","shell.execute_reply.started":"2024-02-16T17:54:43.875727Z","shell.execute_reply":"2024-02-16T17:54:43.88666Z"},"trusted":true},"execution_count":40,"outputs":[]},{"cell_type":"markdown","source":"## Load ground truth","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport os\nimport numpy as np\n\nimport warnings\nwarnings.filterwarnings('ignore')\n\ndef export_patient_volumes(patient_ids=range(1,501), n_patients=500):\n    path = os.path.join(\"..\" ,\"input\",\"second-annual-data-science-bowl\", \"train.csv\")\n    ground_truth = pd.read_csv(path)\n    #/kaggle/input/second-annual-data-science-bowl/train.csv\n\n    true_min = np.array(ground_truth.Systole.iloc[:n_patients])\n    true_max = np.array(ground_truth.Diastole.iloc[:n_patients])\n\n    min_vols = np.zeros(n_patients)\n    max_vols = np.zeros(n_patients)\n    patient_mask = np.zeros(n_patients)\n\n    print(\"Processing %i patients...\" % n_patients)\n    for pid in patient_ids:\n        i = pid - 1\n        try:\n            p = load_patient(pid)\n            if p != None:\n                lv = preprocess_pipeline(p)\n                v = volume_for_patient(lv, p.dist)\n                min_vols[i] = v.min()\n                max_vols[i] = v.max()\n                print(\"Sucessfully processed patient #%i\" % pid)\n                \n                # Mark patient as used\n                patient_mask[i] = 1\n    \n                 # Clean up data no longer in use\n                del p\n                del lv\n            else:\n                # Mark patient as unused\n                max_vols[i] = -1\n                min_vols[i] = -1\n                print(\"Error: Could not process patient #%i\" % pid)\n\n\n        except ValueError:\n            print(\"Error: Could not process patient #%i\" % pid)\n\n    print(\"Finished processing %i patients!\" % n_patients)\n    \n    print(\"Saving patient data...\")\n    np.savez(\"min_vols\", min_vols)\n    np.savez(\"max_vols\", max_vols)\n    np.savez(\"patient_mask\", patient_mask)\n    print(\"Patient data saved!\")\n    \n    return min_vols, max_vols, true_min, true_max, patient_mask","metadata":{"execution":{"iopub.status.busy":"2024-02-16T17:54:47.692189Z","iopub.execute_input":"2024-02-16T17:54:47.69259Z","iopub.status.idle":"2024-02-16T17:54:47.706083Z","shell.execute_reply.started":"2024-02-16T17:54:47.69256Z","shell.execute_reply":"2024-02-16T17:54:47.704594Z"},"trusted":true},"execution_count":41,"outputs":[]},{"cell_type":"markdown","source":"### Save results to output","metadata":{}},{"cell_type":"code","source":"%%time\nids = range(1, 2)\nall_min_vols, all_max_vols, all_true_min, all_true_max, patient_mask = export_patient_volumes(ids)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T19:13:49.903772Z","iopub.execute_input":"2024-02-16T19:13:49.904197Z","iopub.status.idle":"2024-02-16T19:14:14.458955Z","shell.execute_reply.started":"2024-02-16T19:13:49.904168Z","shell.execute_reply":"2024-02-16T19:14:14.458066Z"},"collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"execution_count":120,"outputs":[{"name":"stdout","text":"Processing 500 patients...\n<__main__.Patient object at 0x7ec122faf0d0>\nyes\ndone\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\ngot\nSucessfully processed patient #1\nFinished processing 500 patients!\nSaving patient data...\nPatient data saved!\nCPU times: user 21.7 s, sys: 2.52 s, total: 24.3 s\nWall time: 24.5 s\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Apply mask to filter out \"bad\" patients","metadata":{}},{"cell_type":"code","source":"patient_indices = patient_mask.nonzero()[0]\nmin_vols = all_min_vols[patient_indices]\nmax_vols = all_max_vols[patient_indices]\ntrue_min = all_true_min[patient_indices]\ntrue_max = all_true_max[patient_indices]","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Compare calculated min and max volumes to ground truth","metadata":{}},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[12,5])\n\nax1.plot(patient_indices, true_min, '*', label=\"true\")\nax1.plot(patient_indices, min_vols, '+', color='r', label=\"predicted\")\nax1.set_title('Predicted min volume for each patient', fontsize=16)\nax1.set_ylabel('Predicted min volume')\nax1.set_xlabel('Patient')\n\nax2.plot(patient_indices, true_max, '*', label=\"true\")\nax2.plot(patient_indices, max_vols, '+', color='r', label=\"predicted\")\nax2.set_title('Predicted max volume for each patient', fontsize=16)\nax2.set_ylabel('Predicted max volume')\nax2.set_xlabel('Patient')\n\nfig.show()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Correlation between ground truth and predicted values","metadata":{}},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[12,5])\n\nax1.plot(true_min, min_vols, '*')\nax1.set_title('Prediced min vs True min', fontsize=16)\nax1.set_ylabel('Predicted min Volume')\nax1.set_xlabel('True min Volume')\n\nax2.plot(true_max, max_vols, '*')\nax2.set_title('Prediced max vs True min', fontsize=16)\nax2.set_ylabel('Predicted max Volume')\nax2.set_xlabel('True max Volume')\n\nfig.show()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Correlation Coefficient\n# https://en.wikipedia.org/wiki/Correlation_coefficient\ncorr_max = np.corrcoef(min_vols, true_min)\ncorr_min = np.corrcoef(max_vols, true_max)\n\nprint(corr_max[0,1], \"Correlation predicted and true max values\")\nprint(corr_min[0,1], \"Correlation predicted and true min values\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Linear model for predicting volume\n* Least squares, 1 parameter - find scaling + bias to correct offsets\n* $y = ax + b$","metadata":{}},{"cell_type":"code","source":"# Create model, least squares fit\ndeg = 1\na_min, b_min = np.polyfit(min_vols, true_min, deg)\na_max, b_max = np.polyfit(max_vols, true_max, deg)\n\n# Use model\npred_min = a_min * min_vols + b_min\npred_max = a_max * max_vols + b_max","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### Compare linear model to ground truth","metadata":{}},{"cell_type":"code","source":"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[12,5])\n\nax1.plot(patient_indices, true_min, '*', label=\"true\")\nax1.plot(patient_indices, pred_min, '+', color='r', label=\"predicted\")\nax1.set_title('Linear model min volume for each patient', fontsize=16)\nax1.set_ylabel('Linear model min volume')\nax1.set_xlabel('Patient')\nax1.legend()\n\nax2.plot(patient_indices, true_max, '*', label=\"true\")\nax2.plot(patient_indices, pred_max, '+', color='r', label=\"predicted\")\nax2.set_title('Linear model max volume for each patient', fontsize=16)\nax2.set_ylabel('Linear model max volume')\nax2.set_xlabel('Patient')\nax2.legend()\n\nfig.show()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Ejection rate calculation\n* $ER = \\frac{V_D - V_S}{V_D}$","metadata":{}},{"cell_type":"code","source":"def ejection_rate(vd, vs):\n    \"Returns a float between 0 and 1\"\n    return (vd - vs) / vd\n\ntrue_ejection = ejection_rate(true_max, true_min)\npred_ejection = ejection_rate(pred_max, pred_min)\n\nfig, ax = plt.subplots(1, 1, figsize=[12,5])\n\nax.plot(patient_indices, true_ejection, '*', label=\"true\")\nax.plot(patient_indices, pred_ejection, '+', color='r', label=\"pred\")\nax.set_title('Ejection rate, true vs pred', fontsize=16)\nax.set_ylabel('Ejection rate')\nax.set_xlabel('Patient')\nax.legend()\n\nfig.show()","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Calculating MSE\nmse_error = sum((true_ejection-pred_ejection)**2)/nbr\nprint(mse_error, \"MSE\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"p = load_patient(1)\nrescaled_imgs = rescale_patient_4d_imgs(p)\nnormalized_imgs = histogram_normalize_4d(rescaled_imgs)\ncropped_imgs = crop_heart(normalized_imgs, heart_pixel_size=150)\nrotated_images = rotate_images_210_deg(cropped_imgs, p.orientation)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:13:45.858514Z","iopub.execute_input":"2024-02-16T18:13:45.858932Z","iopub.status.idle":"2024-02-16T18:14:03.422231Z","shell.execute_reply.started":"2024-02-16T18:13:45.858902Z","shell.execute_reply":"2024-02-16T18:14:03.42081Z"},"trusted":true},"execution_count":60,"outputs":[{"name":"stdout","text":"<__main__.Patient object at 0x7ec1497c0760>\nyes\n","output_type":"stream"}]},{"cell_type":"code","source":"plt.imshow(rotated_images[0,0])","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:14:55.212679Z","iopub.execute_input":"2024-02-16T18:14:55.213062Z","iopub.status.idle":"2024-02-16T18:14:55.553702Z","shell.execute_reply.started":"2024-02-16T18:14:55.213035Z","shell.execute_reply":"2024-02-16T18:14:55.552563Z"},"trusted":true},"execution_count":62,"outputs":[{"execution_count":62,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7ec1497c0be0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"seg_slice = thresh_segmentation(rotated_images[0,0])\nplt.imshow(seg_slice)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:35:22.483357Z","iopub.execute_input":"2024-02-16T18:35:22.483743Z","iopub.status.idle":"2024-02-16T18:35:22.763552Z","shell.execute_reply.started":"2024-02-16T18:35:22.483714Z","shell.execute_reply":"2024-02-16T18:35:22.762051Z"},"trusted":true},"execution_count":75,"outputs":[{"execution_count":75,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7ec1289482b0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"immm=watershed_img(seg_slice)\nimmm.shape","metadata":{"execution":{"iopub.status.busy":"2024-02-16T19:13:38.766362Z","iopub.execute_input":"2024-02-16T19:13:38.766805Z","iopub.status.idle":"2024-02-16T19:13:38.789034Z","shell.execute_reply.started":"2024-02-16T19:13:38.766773Z","shell.execute_reply":"2024-02-16T19:13:38.78784Z"},"trusted":true},"execution_count":119,"outputs":[{"execution_count":119,"output_type":"execute_result","data":{"text/plain":"(150, 150)"},"metadata":{}}]},{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nfrom scipy import ndimage as ndi\n\nfrom skimage.segmentation import watershed\nfrom skimage.feature import peak_local_max\n\n\nimage=seg_slice\n\n# Now we want to separate the two objects in image\n# Generate the markers as local maxima of the distance to the background\ndistance = ndi.distance_transform_edt(image)\ncoords = peak_local_max(distance, footprint=np.ones((40,40)), labels=image, exclude_border=True)\nplt.imshow(coords)\n","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:52:55.384951Z","iopub.execute_input":"2024-02-16T18:52:55.385354Z","iopub.status.idle":"2024-02-16T18:52:55.577156Z","shell.execute_reply.started":"2024-02-16T18:52:55.385323Z","shell.execute_reply":"2024-02-16T18:52:55.575939Z"},"trusted":true},"execution_count":85,"outputs":[{"execution_count":85,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7ec1282b13c0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"mask = np.zeros(distance.shape, dtype=bool)\nmask[tuple(coords.T)] = True\nmarkers, _ = ndi.label(mask)\nws_labels = watershed(-distance, markers, mask=image)\nplt.imshow(labels)\nlabel_area_dict = {i: np.sum(ws_labels == i)for i in np.unique(ws_labels[ws_labels > 0])}\nclean_label_maxi = markers.copy()\nlab_areas = list(label_area_dict.values())\n    # Remove 20 percentile\narea_cutoff = np.percentile(lab_areas, 50)\nfor i, k in label_area_dict.items():\n    if k <= area_cutoff:\n        clean_label_maxi[clean_label_maxi == i] = 0\n    # Watershed again\nws_labels = watershed(-distance, clean_label_maxi, mask=image)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T19:04:28.366802Z","iopub.execute_input":"2024-02-16T19:04:28.367233Z","iopub.status.idle":"2024-02-16T19:04:28.643995Z","shell.execute_reply.started":"2024-02-16T19:04:28.367201Z","shell.execute_reply":"2024-02-16T19:04:28.642589Z"},"trusted":true},"execution_count":109,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.imshow(ws_labels)","metadata":{"execution":{"iopub.status.busy":"2024-02-16T19:04:32.719986Z","iopub.execute_input":"2024-02-16T19:04:32.720436Z","iopub.status.idle":"2024-02-16T19:04:32.987568Z","shell.execute_reply.started":"2024-02-16T19:04:32.720404Z","shell.execute_reply":"2024-02-16T19:04:32.98639Z"},"trusted":true},"execution_count":110,"outputs":[{"execution_count":110,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7ec126af37c0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"fig, axes = plt.subplots(ncols=3, figsize=(9, 3), sharex=True, sharey=True)\nax = axes.ravel()\n\nax[0].imshow(image, cmap=plt.cm.gray)\nax[0].set_title('Overlapping objects')\nax[1].imshow(-distance, cmap=plt.cm.gray)\nax[1].set_title('Distances')\nax[2].imshow(labels, cmap=plt.cm.nipy_spectral)\nax[2].set_title('Separated objects')\n\nfor a in ax:\n    a.set_axis_off()\n\nfig.tight_layout()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:56:29.582495Z","iopub.execute_input":"2024-02-16T18:56:29.582978Z","iopub.status.idle":"2024-02-16T18:56:29.924001Z","shell.execute_reply.started":"2024-02-16T18:56:29.58294Z","shell.execute_reply":"2024-02-16T18:56:29.922604Z"},"trusted":true},"execution_count":90,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 900x300 with 3 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"rotated_images[0,0].shape","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:32:29.691772Z","iopub.execute_input":"2024-02-16T18:32:29.692786Z","iopub.status.idle":"2024-02-16T18:32:29.700265Z","shell.execute_reply.started":"2024-02-16T18:32:29.692734Z","shell.execute_reply":"2024-02-16T18:32:29.699066Z"},"trusted":true},"execution_count":73,"outputs":[{"execution_count":73,"output_type":"execute_result","data":{"text/plain":"(150, 150)"},"metadata":{}}]},{"cell_type":"code","source":"segmented_left_ventricle_4d, labels = find_left_ventricle(rotated_images)\n","metadata":{"execution":{"iopub.status.busy":"2024-02-16T18:31:25.939237Z","iopub.execute_input":"2024-02-16T18:31:25.9397Z","iopub.status.idle":"2024-02-16T18:31:26.354029Z","shell.execute_reply.started":"2024-02-16T18:31:25.939667Z","shell.execute_reply":"2024-02-16T18:31:26.352159Z"},"trusted":true},"execution_count":72,"outputs":[{"name":"stdout","text":"(150, 150)\n(7, 2)\n(7, 2)\nws\n","output_type":"stream"},{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)","Cell \u001b[0;32mIn[72], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m segmented_left_ventricle_4d, labels \u001b[38;5;241m=\u001b[39m \u001b[43mfind_left_ventricle\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrotated_images\u001b[49m\u001b[43m)\u001b[49m\n","Cell \u001b[0;32mIn[37], line 12\u001b[0m, in \u001b[0;36mfind_left_ventricle\u001b[0;34m(images)\u001b[0m\n\u001b[1;32m      9\u001b[0m num_slices, time, height, width \u001b[38;5;241m=\u001b[39m images\u001b[38;5;241m.\u001b[39mshape\n\u001b[1;32m     10\u001b[0m segmented_slices \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mzeros((num_slices, time, height, width))\n\u001b[0;32m---> 12\u001b[0m all_labels \u001b[38;5;241m=\u001b[39m \u001b[43mlabeled_segmented_images\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimages\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# Iterate over all slices and whole timeseries for images\u001b[39;00m\n\u001b[1;32m     15\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(num_slices):\n","Cell \u001b[0;32mIn[65], line 24\u001b[0m, in \u001b[0;36mlabeled_segmented_images\u001b[0;34m(images)\u001b[0m\n\u001b[1;32m     16\u001b[0m seg_slice \u001b[38;5;241m=\u001b[39m thresh_segmentation(images[i,j])\n\u001b[1;32m     18\u001b[0m \u001b[38;5;66;03m# Makes all segmented images same, Only used for Kmeans. (Background = 0)\u001b[39;00m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;66;03m#if seg_slice.sum() > seg_slice.size*0.5:\u001b[39;00m\n\u001b[1;32m     20\u001b[0m \u001b[38;5;66;03m#    seg_slice = 1 - seg_slice\u001b[39;00m\n\u001b[1;32m     21\u001b[0m \n\u001b[1;32m     22\u001b[0m \u001b[38;5;66;03m# Watershed\u001b[39;00m\n\u001b[1;32m     23\u001b[0m \u001b[38;5;66;03m#print(seg_slice.shape)\u001b[39;00m\n\u001b[0;32m---> 24\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[43mwatershed_img\u001b[49m\u001b[43m(\u001b[49m\u001b[43mseg_slice\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     25\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mgot\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     26\u001b[0m \u001b[38;5;66;03m# Writes labeled segmented object to return images                     \u001b[39;00m\n","Cell \u001b[0;32mIn[68], line 19\u001b[0m, in \u001b[0;36mwatershed_img\u001b[0;34m(image)\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[38;5;66;03m# Watershed first once\u001b[39;00m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mws\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 19\u001b[0m ws_labels \u001b[38;5;241m=\u001b[39m \u001b[43mwatershed\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43mimage_dmap\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mimage_peaks\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     20\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mws1\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     21\u001b[0m \u001b[38;5;66;03m# Reomve small segments\u001b[39;00m\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/skimage/segmentation/_watershed.py:199\u001b[0m, in \u001b[0;36mwatershed\u001b[0;34m(image, markers, connectivity, offset, mask, compactness, watershed_line)\u001b[0m\n\u001b[1;32m     86\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwatershed\u001b[39m(image, markers\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, connectivity\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m, offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, mask\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m     87\u001b[0m               compactness\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, watershed_line\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m     88\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Find watershed basins in `image` flooded from given `markers`.\u001b[39;00m\n\u001b[1;32m     89\u001b[0m \n\u001b[1;32m     90\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    197\u001b[0m \u001b[38;5;124;03m    separate overlapping spheres.\u001b[39;00m\n\u001b[1;32m    198\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m     image, markers, mask \u001b[38;5;241m=\u001b[39m \u001b[43m_validate_inputs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmarkers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mconnectivity\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    200\u001b[0m     connectivity, offset \u001b[38;5;241m=\u001b[39m _validate_connectivity(image\u001b[38;5;241m.\u001b[39mndim, connectivity,\n\u001b[1;32m    201\u001b[0m                                                   offset)\n\u001b[1;32m    203\u001b[0m     \u001b[38;5;66;03m# pad the image, markers, and mask so that we can use the mask to\u001b[39;00m\n\u001b[1;32m    204\u001b[0m     \u001b[38;5;66;03m# keep from running off the edges\u001b[39;00m\n","File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/skimage/segmentation/_watershed.py:76\u001b[0m, in \u001b[0;36m_validate_inputs\u001b[0;34m(image, markers, mask, connectivity)\u001b[0m\n\u001b[1;32m     74\u001b[0m     markers \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m mask\n\u001b[1;32m     75\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 76\u001b[0m     markers \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masanyarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmarkers\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\n\u001b[1;32m     77\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m markers\u001b[38;5;241m.\u001b[39mshape \u001b[38;5;241m!=\u001b[39m image\u001b[38;5;241m.\u001b[39mshape:\n\u001b[1;32m     78\u001b[0m         message \u001b[38;5;241m=\u001b[39m (\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m`markers` (shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmarkers\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m) must have same \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m     79\u001b[0m                    \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mshape as `image` (shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mimage\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m'\u001b[39m)\n","\u001b[0;31mValueError\u001b[0m: operands could not be broadcast together with shapes (7,2) (150,150) "],"ename":"ValueError","evalue":"operands could not be broadcast together with shapes (7,2) (150,150) ","output_type":"error"},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 1 Axes>","image/png":"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"},"metadata":{}}]}]}