{
  "id": 600839,
  "title": "Help with DICOM to NifTI conversion (15 error cases)",
  "url": "/competitions/rsna-intracranial-aneurysm-detection/discussion/600839",
  "author_name": "Areeba Fatah",
  "post_date": "2025-08-25T11:02:44.542000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hello,<br>\nWhile converting the series dicom data to nifti, I noticed that there are 15 cases that failed with error <strong>Missing dicom files</strong>. On checking it further i noticed: </p>\n<ul>\n<li>11 / 15 were multiple stacked volume.</li>\n<li>4/15 were like black and white images (not multli-stacked volumes).</li>\n</ul>\n<p>Could you please confirm if this behavior is expected for such cases or I might be doing something wrong in the conversion process?</p>\n<p>The following are the series uids and slicer screenshots for the 15 cases:</p>\n<ul>\n<li><p>1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc8eb185600caac1186c3f8ad7ea07d73%2F1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231.png?generation=1756118315454231&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F930068116473a010a0fbc9a06352f946%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756118348218291&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Feb3a89d3b7dfc5c4048663adf436a944%2F1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889.png?generation=1756118378355823&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fdc2ad028130d050f981aa4afb3b65766%2F1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427.png?generation=1756118393181834&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F463e685cd3e6ab1abee7320ba8ee1dc5%2F1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117.png?generation=1756118418250668&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fccc6ccc62a8b44a9c9b7a0bcfb7bb274%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756118433634428&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F7d589bd09b004b8e4b09daf3847b3c5e%2F1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931.png?generation=1756118465122713&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F645d61966541933b63369a305c16d909%2F1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227.png?generation=1756118481231736&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Faaf08ef63a390576f08eec3c83241b8f%2F1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307.png?generation=1756118506805530&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc01b1b2331e4ecd8e525adc31808c052%2F1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365.png?generation=1756118604637965&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F94e93dad9ab7e05b84b136f740b41856%2F1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938.png?generation=1756118620327595&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F2e8cc2196f379e0fd82578e3e75d2528%2F1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758.png?generation=1756118660037744&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Ff4909281d9b848358b22128dca659403%2F1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299.png?generation=1756118705863787&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F392d395441e2538c3f004b6700f3d6dd%2F1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003.png?generation=1756118523585732&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F51202dfbdf3d3c22cd492f93395c2fa1%2F1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242.png?generation=1756118723125933&amp;alt=media\" alt=\"\"></p></li>\n</ul>",
  "messages": [
    {
      "id": 3274809,
      "postDate": "2025-08-25T13:26:54.607Z",
      "content": "<p>The 11/15 you are showing look OK. These images have a \"scale\" or \"ruler\" of sorts burnt in to the images, and this reflects real world data that we received from the participating institutions.</p>\n<p>The other 4 that you show that are black/white don't seem right. Are you able to re-window these to better see the image contrast? What is the mean/mode/max/min pixel value? Also, what conversion method are you using? I wonder if this is related to the slope/intercept issue that was previously identified: <a href=\"https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636\" target=\"_blank\">https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636</a></p>",
      "rawMarkdown": "The 11/15 you are showing look OK. These images have a \"scale\" or \"ruler\" of sorts burnt in to the images, and this reflects real world data that we received from the participating institutions.\n\nThe other 4 that you show that are black/white don't seem right. Are you able to re-window these to better see the image contrast? What is the mean/mode/max/min pixel value? Also, what conversion method are you using? I wonder if this is related to the slope/intercept issue that was previously identified: https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636",
      "replies": [
        {
          "id": 3275206,
          "postDate": "2025-08-26T05:57:16.347Z",
          "content": "<p>Thank you for the feedback. I re-windowed the 2 out of 4 black/white series and here are the results:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F5dc31c4a3350d874b5d4bbcbf7763967%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756187409850705&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F1fe2093fb961f2b1061d94b5c511c689%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756187426361956&amp;alt=media\" alt=\"\"></p>\n<p><strong>Method for conversion</strong><br>\nI used dicom2nifti's dicom_series_to_nifti with re-orientation and resampling to 1.5 mm.</p>",
          "rawMarkdown": "Thank you for the feedback. I re-windowed the 2 out of 4 black/white series and here are the results:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F5dc31c4a3350d874b5d4bbcbf7763967%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756187409850705&alt=media)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F1fe2093fb961f2b1061d94b5c511c689%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756187426361956&alt=media)\n\n**Method for conversion**\nI used dicom2nifti's dicom_series_to_nifti with re-orientation and resampling to 1.5 mm.",
          "replies": [
            {
              "id": 3277940,
              "postDate": "2025-08-29T00:57:41.660Z",
              "content": "<p>OK great. Yes I think these both look correct. Its probably just the scaling issue for the 4 remaining studies in question. A quick fix for these is to set Rescale Slope (0028,1053) to 1 and Rescale Intercept (0028,1052) to 0 in the DICOM header and then see if the scaling looks normal after conversion. </p>",
              "rawMarkdown": "OK great. Yes I think these both look correct. Its probably just the scaling issue for the 4 remaining studies in question. A quick fix for these is to set Rescale Slope (0028,1053) to 1 and Rescale Intercept (0028,1052) to 0 in the DICOM header and then see if the scaling looks normal after conversion. "
            }
          ]
        }
      ]
    },
    {
      "id": 3274727,
      "postDate": "2025-08-25T11:02:44.543Z",
      "content": "<p>Hello,<br>\nWhile converting the series dicom data to nifti, I noticed that there are 15 cases that failed with error <strong>Missing dicom files</strong>. On checking it further i noticed: </p>\n<ul>\n<li>11 / 15 were multiple stacked volume.</li>\n<li>4/15 were like black and white images (not multli-stacked volumes).</li>\n</ul>\n<p>Could you please confirm if this behavior is expected for such cases or I might be doing something wrong in the conversion process?</p>\n<p>The following are the series uids and slicer screenshots for the 15 cases:</p>\n<ul>\n<li><p>1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc8eb185600caac1186c3f8ad7ea07d73%2F1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231.png?generation=1756118315454231&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F930068116473a010a0fbc9a06352f946%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756118348218291&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Feb3a89d3b7dfc5c4048663adf436a944%2F1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889.png?generation=1756118378355823&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fdc2ad028130d050f981aa4afb3b65766%2F1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427.png?generation=1756118393181834&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F463e685cd3e6ab1abee7320ba8ee1dc5%2F1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117.png?generation=1756118418250668&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fccc6ccc62a8b44a9c9b7a0bcfb7bb274%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756118433634428&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F7d589bd09b004b8e4b09daf3847b3c5e%2F1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931.png?generation=1756118465122713&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F645d61966541933b63369a305c16d909%2F1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227.png?generation=1756118481231736&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Faaf08ef63a390576f08eec3c83241b8f%2F1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307.png?generation=1756118506805530&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc01b1b2331e4ecd8e525adc31808c052%2F1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365.png?generation=1756118604637965&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F94e93dad9ab7e05b84b136f740b41856%2F1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938.png?generation=1756118620327595&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F2e8cc2196f379e0fd82578e3e75d2528%2F1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758.png?generation=1756118660037744&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Ff4909281d9b848358b22128dca659403%2F1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299.png?generation=1756118705863787&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F392d395441e2538c3f004b6700f3d6dd%2F1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003.png?generation=1756118523585732&amp;alt=media\" alt=\"\"></p></li>\n<li><p>1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F51202dfbdf3d3c22cd492f93395c2fa1%2F1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242.png?generation=1756118723125933&amp;alt=media\" alt=\"\"></p></li>\n</ul>",
      "rawMarkdown": "Hello,\nWhile converting the series dicom data to nifti, I noticed that there are 15 cases that failed with error **Missing dicom files**. On checking it further i noticed: \n- 11 / 15 were multiple stacked volume.\n- 4/15 were like black and white images (not multli-stacked volumes).\n\nCould you please confirm if this behavior is expected for such cases or I might be doing something wrong in the conversion process?\n\nThe following are the series uids and slicer screenshots for the 15 cases:\n\n- 1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc8eb185600caac1186c3f8ad7ea07d73%2F1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231.png?generation=1756118315454231&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F930068116473a010a0fbc9a06352f946%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756118348218291&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Feb3a89d3b7dfc5c4048663adf436a944%2F1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889.png?generation=1756118378355823&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fdc2ad028130d050f981aa4afb3b65766%2F1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427.png?generation=1756118393181834&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F463e685cd3e6ab1abee7320ba8ee1dc5%2F1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117.png?generation=1756118418250668&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fccc6ccc62a8b44a9c9b7a0bcfb7bb274%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756118433634428&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F7d589bd09b004b8e4b09daf3847b3c5e%2F1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931.png?generation=1756118465122713&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F645d61966541933b63369a305c16d909%2F1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227.png?generation=1756118481231736&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Faaf08ef63a390576f08eec3c83241b8f%2F1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307.png?generation=1756118506805530&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc01b1b2331e4ecd8e525adc31808c052%2F1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365.png?generation=1756118604637965&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F94e93dad9ab7e05b84b136f740b41856%2F1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938.png?generation=1756118620327595&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F2e8cc2196f379e0fd82578e3e75d2528%2F1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758.png?generation=1756118660037744&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Ff4909281d9b848358b22128dca659403%2F1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299.png?generation=1756118705863787&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F392d395441e2538c3f004b6700f3d6dd%2F1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003.png?generation=1756118523585732&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F51202dfbdf3d3c22cd492f93395c2fa1%2F1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242.png?generation=1756118723125933&alt=media)\n\n"
    }
  ],
  "comments": [
    {
      "id": 3274809,
      "author_name": "Evan Calabrese",
      "author_url": "",
      "post_date": "2025-08-25T13:26:54.607000",
      "content": "<p>The 11/15 you are showing look OK. These images have a \"scale\" or \"ruler\" of sorts burnt in to the images, and this reflects real world data that we received from the participating institutions.</p>\n<p>The other 4 that you show that are black/white don't seem right. Are you able to re-window these to better see the image contrast? What is the mean/mode/max/min pixel value? Also, what conversion method are you using? I wonder if this is related to the slope/intercept issue that was previously identified: <a href=\"https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636\" target=\"_blank\">https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636</a></p>",
      "votes": 0,
      "replies": [
        {
          "id": 3275206,
          "author_name": "Areeba Fatah",
          "author_url": "",
          "post_date": "2025-08-26T05:57:16.347000",
          "content": "<p>Thank you for the feedback. I re-windowed the 2 out of 4 black/white series and here are the results:</p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F5dc31c4a3350d874b5d4bbcbf7763967%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756187409850705&amp;alt=media\" alt=\"\"></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F1fe2093fb961f2b1061d94b5c511c689%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756187426361956&amp;alt=media\" alt=\"\"></p>\n<p><strong>Method for conversion</strong><br>\nI used dicom2nifti's dicom_series_to_nifti with re-orientation and resampling to 1.5 mm.</p>",
          "votes": 0,
          "replies": [
            {
              "id": 3277940,
              "author_name": "Evan Calabrese",
              "author_url": "",
              "post_date": "2025-08-29T00:57:41.660000",
              "content": "<p>OK great. Yes I think these both look correct. Its probably just the scaling issue for the 4 remaining studies in question. A quick fix for these is to set Rescale Slope (0028,1053) to 1 and Rescale Intercept (0028,1052) to 0 in the DICOM header and then see if the scaling looks normal after conversion. </p>",
              "votes": 0,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3274809": "The 11/15 you are showing look OK. These images have a \"scale\" or \"ruler\" of sorts burnt in to the images, and this reflects real world data that we received from the participating institutions.\n\nThe other 4 that you show that are black/white don't seem right. Are you able to re-window these to better see the image contrast? What is the mean/mode/max/min pixel value? Also, what conversion method are you using? I wonder if this is related to the slope/intercept issue that was previously identified: https://www.kaggle.com/competitions/rsna-intracranial-aneurysm-detection/discussion/591636",
    "3274727": "Hello,\nWhile converting the series dicom data to nifti, I noticed that there are 15 cases that failed with error **Missing dicom files**. On checking it further i noticed: \n- 11 / 15 were multiple stacked volume.\n- 4/15 were like black and white images (not multli-stacked volumes).\n\nCould you please confirm if this behavior is expected for such cases or I might be doing something wrong in the conversion process?\n\nThe following are the series uids and slicer screenshots for the 15 cases:\n\n- 1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc8eb185600caac1186c3f8ad7ea07d73%2F1.2.826.0.1.3680043.8.498.13363897289235267814753067983525010231.png?generation=1756118315454231&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F930068116473a010a0fbc9a06352f946%2F1.2.826.0.1.3680043.8.498.13869493696081683922514569283094287371.png?generation=1756118348218291&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Feb3a89d3b7dfc5c4048663adf436a944%2F1.2.826.0.1.3680043.8.498.14095224548874666070890244976983269889.png?generation=1756118378355823&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fdc2ad028130d050f981aa4afb3b65766%2F1.2.826.0.1.3680043.8.498.17677548211553545296698864792051352427.png?generation=1756118393181834&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F463e685cd3e6ab1abee7320ba8ee1dc5%2F1.2.826.0.1.3680043.8.498.23745303490352683267715898833247160117.png?generation=1756118418250668&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fccc6ccc62a8b44a9c9b7a0bcfb7bb274%2F1.2.826.0.1.3680043.8.498.39319917305377952606345608496220657998.png?generation=1756118433634428&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F7d589bd09b004b8e4b09daf3847b3c5e%2F1.2.826.0.1.3680043.8.498.54505273219907798567882573473568289931.png?generation=1756118465122713&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F645d61966541933b63369a305c16d909%2F1.2.826.0.1.3680043.8.498.54945937547396809705103978798121765227.png?generation=1756118481231736&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Faaf08ef63a390576f08eec3c83241b8f%2F1.2.826.0.1.3680043.8.498.55190777977920349777703252344775040307.png?generation=1756118506805530&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Fc01b1b2331e4ecd8e525adc31808c052%2F1.2.826.0.1.3680043.8.498.63366322873130473588246353790602273365.png?generation=1756118604637965&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F94e93dad9ab7e05b84b136f740b41856%2F1.2.826.0.1.3680043.8.498.63659290871058751026573871222273656938.png?generation=1756118620327595&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F2e8cc2196f379e0fd82578e3e75d2528%2F1.2.826.0.1.3680043.8.498.70243202242722756546202582478829903758.png?generation=1756118660037744&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2Ff4909281d9b848358b22128dca659403%2F1.2.826.0.1.3680043.8.498.85668572260836671456680878948105863299.png?generation=1756118705863787&alt=media)\n\n\n- 1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F392d395441e2538c3f004b6700f3d6dd%2F1.2.826.0.1.3680043.8.498.57801812352381826359139772986642310003.png?generation=1756118523585732&alt=media)\n\n- 1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F13818444%2F51202dfbdf3d3c22cd492f93395c2fa1%2F1.2.826.0.1.3680043.8.498.87480891990277582946346790136781912242.png?generation=1756118723125933&alt=media)\n\n"
  }
}