{
  "id": 340398,
  "title": "What is DICOM?",
  "url": "/competitions/rsna-2022-cervical-spine-fracture-detection/discussion/340398",
  "author_name": "",
  "post_date": "2022-07-28T20:27:44.539340400Z",
  "votes": 8,
  "comment_count": 4,
  "views": 0,
  "content": "<p>The international standard for transmitting, storing, retrieving, printing, processing, and displaying medical imaging data is called DICOM, or digital imaging and communications in medicine. DICOM uses image files generated from several modalities. DICOM, on the other hand, organizes information into a data set, so the image file contains the patient's ID, date of birth, age, sex, and other information regarding the diagnosis all inside the image, as illustrated in the figure illustrating the essential elements of a medical image.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5447505%2F4b79913b23b40eea31b8e23e0e4c6208%2Fimage_1.png?generation=1659039802021506&amp;alt=media\" alt=\"image\"></p>\n<ul>\n<li>The amount of bits required to encode the data for each pixel is known as the pixel depth. For instance, an 8-bit raster can have 256 distinct values in the 0 to 255 range.</li>\n<li>For the right presentation of the image as a monochrome or colored image, photometric interpretation describes how the pixel data should be interpreted. We propose the idea of samples per pixel, sometimes known as \"pixel samples,\" to indicate whether or not the color information is kept in the image pixel values (number of channels).</li>\n<li>The details that characterize an image are known as metadata (i.e. patients ID, date of the image).</li>\n<li>The area known as \"Pixel Data\" is where the pixel's digitized values are kept. Although all the elements are necessary, our focus is on the pixel depth and pixel data. To the best of my knowledge, converting ultrasound images to other file types is not problematic, but we must take the image's depth into account since we cannot convert a 16-bit DICOM image to a JPEG or PNG with an 8-bit depth because this might distort the image's quality and characteristics. The information that we will feed the network is pixel data. For more in formation check <a href=\"https://www.techtarget.com/searchhealthit/definition/DICOM-Digital-Imaging-and-Communications-in-Medicine\" target=\"_blank\">here</a></li>\n</ul>\n<p>Enjoy your kaggling!</p>",
  "messages": [
    {
      "id": "1875256",
      "postDate": "07/28/2022 20:27:44",
      "content": "<p>The international standard for transmitting, storing, retrieving, printing, processing, and displaying medical imaging data is called DICOM, or digital imaging and communications in medicine. DICOM uses image files generated from several modalities. DICOM, on the other hand, organizes information into a data set, so the image file contains the patient's ID, date of birth, age, sex, and other information regarding the diagnosis all inside the image, as illustrated in the figure illustrating the essential elements of a medical image.</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5447505%2F4b79913b23b40eea31b8e23e0e4c6208%2Fimage_1.png?generation=1659039802021506&amp;alt=media\" alt=\"image\"></p>\n<ul>\n<li>The amount of bits required to encode the data for each pixel is known as the pixel depth. For instance, an 8-bit raster can have 256 distinct values in the 0 to 255 range.</li>\n<li>For the right presentation of the image as a monochrome or colored image, photometric interpretation describes how the pixel data should be interpreted. We propose the idea of samples per pixel, sometimes known as \"pixel samples,\" to indicate whether or not the color information is kept in the image pixel values (number of channels).</li>\n<li>The details that characterize an image are known as metadata (i.e. patients ID, date of the image).</li>\n<li>The area known as \"Pixel Data\" is where the pixel's digitized values are kept. Although all the elements are necessary, our focus is on the pixel depth and pixel data. To the best of my knowledge, converting ultrasound images to other file types is not problematic, but we must take the image's depth into account since we cannot convert a 16-bit DICOM image to a JPEG or PNG with an 8-bit depth because this might distort the image's quality and characteristics. The information that we will feed the network is pixel data. For more in formation check <a href=\"https://www.techtarget.com/searchhealthit/definition/DICOM-Digital-Imaging-and-Communications-in-Medicine\" target=\"_blank\">here</a></li>\n</ul>\n<p>Enjoy your kaggling!</p>",
      "rawMarkdown": "The international standard for transmitting, storing, retrieving, printing, processing, and displaying medical imaging data is called DICOM, or digital imaging and communications in medicine. DICOM uses image files generated from several modalities. DICOM, on the other hand, organizes information into a data set, so the image file contains the patient's ID, date of birth, age, sex, and other information regarding the diagnosis all inside the image, as illustrated in the figure illustrating the essential elements of a medical image.\n\n![image](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5447505%2F4b79913b23b40eea31b8e23e0e4c6208%2Fimage_1.png?generation=1659039802021506&alt=media)\n\n- The amount of bits required to encode the data for each pixel is known as the pixel depth. For instance, an 8-bit raster can have 256 distinct values in the 0 to 255 range.\n- For the right presentation of the image as a monochrome or colored image, photometric interpretation describes how the pixel data should be interpreted. We propose the idea of samples per pixel, sometimes known as \"pixel samples,\" to indicate whether or not the color information is kept in the image pixel values (number of channels).\n- The details that characterize an image are known as metadata (i.e. patients ID, date of the image).\n- The area known as \"Pixel Data\" is where the pixel's digitized values are kept. Although all the elements are necessary, our focus is on the pixel depth and pixel data. To the best of my knowledge, converting ultrasound images to other file types is not problematic, but we must take the image's depth into account since we cannot convert a 16-bit DICOM image to a JPEG or PNG with an 8-bit depth because this might distort the image's quality and characteristics. The information that we will feed the network is pixel data. For more in formation check [here](https://www.techtarget.com/searchhealthit/definition/DICOM-Digital-Imaging-and-Communications-in-Medicine)\n\nEnjoy your kaggling!",
      "votes": null
    },
    {
      "id": "1876906",
      "postDate": "07/30/2022 06:52:05",
      "content": "<p>In this dataset, the pixel range seems much larger…<br>\n <a href=\"https://postimg.cc/hf9p8kKr\" target=\"_blank\"><img src=\"https://i.postimg.cc/3JqVhh6P/results-13-0.png\" alt=\"results-13-0.png\"></a></p>",
      "rawMarkdown": "In this dataset, the pixel range seems much larger...\n [![results-13-0.png](https://i.postimg.cc/3JqVhh6P/results-13-0.png)](https://postimg.cc/hf9p8kKr)",
      "votes": null
    },
    {
      "id": "1877231",
      "postDate": "07/30/2022 12:40:59",
      "content": "<p>Thanks, in the last paragraph I try to mention that it is 16-bit Dicom images consequently the pixel ranges are much higher. so I think converting them to jpeg or png images might distort the image's quality and characteristics.</p>",
      "rawMarkdown": "Thanks, in the last paragraph I try to mention that it is 16-bit Dicom images consequently the pixel ranges are much higher. so I think converting them to jpeg or png images might distort the image's quality and characteristics.",
      "votes": null
    },
    {
      "id": "1888670",
      "postDate": "08/07/2022 18:02:04",
      "content": "<p>Great post! I really enjoyed reading it and found it very informative.</p>\n<p>The Devastator.</p>",
      "rawMarkdown": "Great post! I really enjoyed reading it and found it very informative.\n\nThe Devastator.",
      "votes": null
    },
    {
      "id": "1888918",
      "postDate": "08/07/2022 21:40:06",
      "content": "<p>Thanks <a href=\"https://www.kaggle.com/thedevastator\" target=\"_blank\">@thedevastator</a> . I hope to be informative to others too.✌️</p>",
      "rawMarkdown": "Thanks @thedevastator . I hope to be informative to others too.✌️",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1876906,
      "author_name": "jirkaborovec",
      "author_url": "",
      "post_date": "07/30/2022 06:52:05",
      "content": "<p>In this dataset, the pixel range seems much larger…<br>\n <a href=\"https://postimg.cc/hf9p8kKr\" target=\"_blank\"><img src=\"https://i.postimg.cc/3JqVhh6P/results-13-0.png\" alt=\"results-13-0.png\"></a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1877231,
          "author_name": "mohammaddehghan",
          "author_url": "",
          "post_date": "07/30/2022 12:40:59",
          "content": "<p>Thanks, in the last paragraph I try to mention that it is 16-bit Dicom images consequently the pixel ranges are much higher. so I think converting them to jpeg or png images might distort the image's quality and characteristics.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1888670,
      "author_name": "thedevastator",
      "author_url": "",
      "post_date": "08/07/2022 18:02:04",
      "content": "<p>Great post! I really enjoyed reading it and found it very informative.</p>\n<p>The Devastator.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1888918,
          "author_name": "mohammaddehghan",
          "author_url": "",
          "post_date": "08/07/2022 21:40:06",
          "content": "<p>Thanks <a href=\"https://www.kaggle.com/thedevastator\" target=\"_blank\">@thedevastator</a> . I hope to be informative to others too.✌️</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1875256": "The international standard for transmitting, storing, retrieving, printing, processing, and displaying medical imaging data is called DICOM, or digital imaging and communications in medicine. DICOM uses image files generated from several modalities. DICOM, on the other hand, organizes information into a data set, so the image file contains the patient's ID, date of birth, age, sex, and other information regarding the diagnosis all inside the image, as illustrated in the figure illustrating the essential elements of a medical image.\n\n![image](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F5447505%2F4b79913b23b40eea31b8e23e0e4c6208%2Fimage_1.png?generation=1659039802021506&alt=media)\n\n- The amount of bits required to encode the data for each pixel is known as the pixel depth. For instance, an 8-bit raster can have 256 distinct values in the 0 to 255 range.\n- For the right presentation of the image as a monochrome or colored image, photometric interpretation describes how the pixel data should be interpreted. We propose the idea of samples per pixel, sometimes known as \"pixel samples,\" to indicate whether or not the color information is kept in the image pixel values (number of channels).\n- The details that characterize an image are known as metadata (i.e. patients ID, date of the image).\n- The area known as \"Pixel Data\" is where the pixel's digitized values are kept. Although all the elements are necessary, our focus is on the pixel depth and pixel data. To the best of my knowledge, converting ultrasound images to other file types is not problematic, but we must take the image's depth into account since we cannot convert a 16-bit DICOM image to a JPEG or PNG with an 8-bit depth because this might distort the image's quality and characteristics. The information that we will feed the network is pixel data. For more in formation check [here](https://www.techtarget.com/searchhealthit/definition/DICOM-Digital-Imaging-and-Communications-in-Medicine)\n\nEnjoy your kaggling!",
    "1876906": "In this dataset, the pixel range seems much larger...\n [![results-13-0.png](https://i.postimg.cc/3JqVhh6P/results-13-0.png)](https://postimg.cc/hf9p8kKr)",
    "1877231": "Thanks, in the last paragraph I try to mention that it is 16-bit Dicom images consequently the pixel ranges are much higher. so I think converting them to jpeg or png images might distort the image's quality and characteristics.",
    "1888670": "Great post! I really enjoyed reading it and found it very informative.\n\nThe Devastator.",
    "1888918": "Thanks @thedevastator . I hope to be informative to others too.✌️"
  },
  "source": "meta"
}