![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4910466%2F9f086aec22b2e7ca51aefd52bb18431e%2FScreenshot%202024-09-04%20at%2020.41.17.png?generation=1725450098487111&alt=media\")
I apologize if this question has already been asked.
\nI would like to request an official confirmation from the hosts and the Kaggle team.
\nIn some cases, not small number of patients have more than one series for the same series type (Axial T2 / Sagittal T1 / Sagittal T2/STIR). Why does such data exist?
\nDoes this include images where the scan failed, or were multiple scans simply taken?
\nAdditionally, what does STIR represent? Is it different from a standard MRI image?
\nThe below screen shot shows number of unique series_ids per each (study_id, Description) pair.
\nI think at most one series per (study_id, Description) is O.K. to make diagnosis.
pathlib Path\n\n matplotlib.pyplot plt\n numpy np\n polars pl\n pydicom\n tqdm tqdm\n pandas pd\n\n\nimage_path = Path(\n \n)\npart_1 = (image_path.glob())\ndf_meta_f = pl.read_csv(\n \n)\nid2desc = {\n (item[], item[]): item[]\n item df_meta_f.to_dicts()\n}\nmeta_obj = {\n (p.stem): {\n : p.as_posix(),\n : [(sub.stem) sub (p.glob())],\n : [\n id2desc.get(((p.stem), (sub.stem)), ) sub (p.glob())\n ],\n }\n p part_1\n}\n\nimage_meta = pd.DataFrame(meta_obj).transpose()\nimage_meta.index.name = \nimage_meta = image_meta.explode([, ])\nimage_meta = image_meta.reset_index()\nimage_meta = pl.from_pandas(image_meta)\nimage_meta = image_meta.with_columns(\n pl.col()\n .count()\n .over(, )\n .alias(),\n)\ndisplay(image_meta[].value_counts().sort())\nI apologize if this question has already been asked.
\nI would like to request an official confirmation from the hosts and the Kaggle team.
\nIn some cases, not small number of patients have more than one series for the same series type (Axial T2 / Sagittal T1 / Sagittal T2/STIR). Why does such data exist?
\nDoes this include images where the scan failed, or were multiple scans simply taken?
\nAdditionally, what does STIR represent? Is it different from a standard MRI image?
\nThe below screen shot shows number of unique series_ids per each (study_id, Description) pair.
\nI think at most one series per (study_id, Description) is O.K. to make diagnosis.
pathlib Path\n\n matplotlib.pyplot plt\n numpy np\n polars pl\n pydicom\n tqdm tqdm\n pandas pd\n\n\nimage_path = Path(\n \n)\npart_1 = (image_path.glob())\ndf_meta_f = pl.read_csv(\n \n)\nid2desc = {\n (item[], item[]): item[]\n item df_meta_f.to_dicts()\n}\nmeta_obj = {\n (p.stem): {\n : p.as_posix(),\n : [(sub.stem) sub (p.glob())],\n : [\n id2desc.get(((p.stem), (sub.stem)), ) sub (p.glob())\n ],\n }\n p part_1\n}\n\nimage_meta = pd.DataFrame(meta_obj).transpose()\nimage_meta.index.name = \nimage_meta = image_meta.explode([, ])\nimage_meta = image_meta.reset_index()\nimage_meta = pl.from_pandas(image_meta)\nimage_meta = image_meta.with_columns(\n pl.col()\n .count()\n .over(, )\n .alias(),\n)\ndisplay(image_meta[].value_counts().sort())\nmultiple takes seems to only occurred to \"Axial T2\" and \"Sagittal T1\".
\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F4910466%2F75889a11441bea3374c837e5980fa965%2FScreenshot%202024-09-04%20at%2020.51.48.png?generation=1725450720483865&alt=media\")
There are probably multiple reasons. I actually checked visually, and found that:
\nThis is based on observing only a few examples, so it's just for reference, but at least these reasons seem to exist.
\nAlso, STIR is fundamentally a technique for fat suppression, and I believe it's used because it makes the edematous changes associated with spinal degeneration more distinct.
![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2593251%2F3305053a30203181c0d2b5d32f249b32%2Fimage.png?generation=1725545913011907&alt=media\")
Here is one examples of multiple axial T2 images.
\nThe left image appears to capture the upper part, while the right image seems to capture the lower part. In other words, the axial T2 images for a patient were probably taken in two separate sessions.
However, I've found that not every case with more than two axial T2 images fits this pattern.
\n![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5850745%2F56b37631cf8749ee3f3b61a46e81bcf0%2Fmulti_axial_t2_viz.jpg?generation=1726491424983434&alt=media\")
multiple takes seems to only occurred to \"Axial T2\" and \"Sagittal T1\".
\n
There are probably multiple reasons. I actually checked visually, and found that:
\nThis is based on observing only a few examples, so it's just for reference, but at least these reasons seem to exist.
\nAlso, STIR is fundamentally a technique for fat suppression, and I believe it's used because it makes the edematous changes associated with spinal degeneration more distinct.
Here is one examples of multiple axial T2 images.
\nThe left image appears to capture the upper part, while the right image seems to capture the lower part. In other words, the axial T2 images for a patient were probably taken in two separate sessions.
However, I've found that not every case with more than two axial T2 images fits this pattern.
\n