{
  "id": 276371,
  "title": "Synchronized MRI Scans Animations with TorchIO",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/276371",
  "author_name": "",
  "post_date": "2021-10-04T13:27:20.346067900Z",
  "votes": 13,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I shared this notebook: <a href=\"https://www.kaggle.com/ohbewise/s4p1-collage\" target=\"_blank\">https://www.kaggle.com/ohbewise/s4p1-collage</a></p>\n<p>It creates awesome synchronized plots/pngs of the middle slice of all four types of the MRI scans like this:<br>\n<img src=\"https://user-images.githubusercontent.com/775607/135853998-67b0348c-bed0-42c0-84d1-1b0d872cc583.png\" alt=\"synchronized plots\"></p>\n<p>Next, I created 12 synchronized side-by-side plot videos / animations. I think this looks really cool. Created with this notebook: <a href=\"https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w\" target=\"_blank\">https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w</a> and dataset: <a href=\"https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations\" target=\"_blank\">https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations</a> <br>\n<img src=\"https://storage.googleapis.com/kagglesdsdata/datasets/1628949/2676982/processed/00688/gif/00688.gif?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20211012%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20211012T021308Z&amp;X-Goog-Expires=345599&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\" alt=\"\"></p>\n<p>Next, I will be also removing all plot titles, subtitles, and x/y scaling - smashing all 12 images together by cropping out the extra pixels, so they can be used in 2D machine learning.</p>",
  "messages": [
    {
      "id": "1533920",
      "postDate": "10/04/2021 13:27:20",
      "content": "<p>I shared this notebook: <a href=\"https://www.kaggle.com/ohbewise/s4p1-collage\" target=\"_blank\">https://www.kaggle.com/ohbewise/s4p1-collage</a></p>\n<p>It creates awesome synchronized plots/pngs of the middle slice of all four types of the MRI scans like this:<br>\n<img src=\"https://user-images.githubusercontent.com/775607/135853998-67b0348c-bed0-42c0-84d1-1b0d872cc583.png\" alt=\"synchronized plots\"></p>\n<p>Next, I created 12 synchronized side-by-side plot videos / animations. I think this looks really cool. Created with this notebook: <a href=\"https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w\" target=\"_blank\">https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w</a> and dataset: <a href=\"https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations\" target=\"_blank\">https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations</a> <br>\n<img src=\"https://storage.googleapis.com/kagglesdsdata/datasets/1628949/2676982/processed/00688/gif/00688.gif?X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20211012%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20211012T021308Z&amp;X-Goog-Expires=345599&amp;X-Goog-SignedHeaders=host&amp;X-Goog-Signature=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\" alt=\"\"></p>\n<p>Next, I will be also removing all plot titles, subtitles, and x/y scaling - smashing all 12 images together by cropping out the extra pixels, so they can be used in 2D machine learning.</p>",
      "rawMarkdown": "I shared this notebook: https://www.kaggle.com/ohbewise/s4p1-collage\n\nIt creates awesome synchronized plots/pngs of the middle slice of all four types of the MRI scans like this:\n![synchronized plots](https://user-images.githubusercontent.com/775607/135853998-67b0348c-bed0-42c0-84d1-1b0d872cc583.png)\n\nNext, I created 12 synchronized side-by-side plot videos / animations. I think this looks really cool. Created with this notebook: https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w and dataset: https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations \n![](https://storage.googleapis.com/kagglesdsdata/datasets/1628949/2676982/processed/00688/gif/00688.gif?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20211012%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211012T021308Z&X-Goog-Expires=345599&X-Goog-SignedHeaders=host&X-Goog-Signature=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)\n\nNext, I will be also removing all plot titles, subtitles, and x/y scaling - smashing all 12 images together by cropping out the extra pixels, so they can be used in 2D machine learning.",
      "votes": null
    },
    {
      "id": "1534045",
      "postDate": "10/04/2021 14:54:12",
      "content": "<p>I'm looking forward to seeing the synchronized animations :) Good job and good luck!</p>",
      "rawMarkdown": "I'm looking forward to seeing the synchronized animations :) Good job and good luck!",
      "votes": null
    },
    {
      "id": "1534491",
      "postDate": "10/05/2021 01:09:07",
      "content": "<p>ton of coding… then finding a library contains all I need for MRI<br>\njust a wonderful library Thx <a href=\"https://www.kaggle.com/fepegar\" target=\"_blank\">@fepegar</a> 😉👍</p>",
      "rawMarkdown": "ton of coding... then finding a library contains all I need for MRI\njust a wonderful library Thx @fepegar 😉👍",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1534045,
      "author_name": "fepegar",
      "author_url": "",
      "post_date": "10/04/2021 14:54:12",
      "content": "<p>I'm looking forward to seeing the synchronized animations :) Good job and good luck!</p>",
      "votes": null,
      "replies": [
        {
          "id": 1534491,
          "author_name": "abdullrahmenseif",
          "author_url": "",
          "post_date": "10/05/2021 01:09:07",
          "content": "<p>ton of coding… then finding a library contains all I need for MRI<br>\njust a wonderful library Thx <a href=\"https://www.kaggle.com/fepegar\" target=\"_blank\">@fepegar</a> 😉👍</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1533920": "I shared this notebook: https://www.kaggle.com/ohbewise/s4p1-collage\n\nIt creates awesome synchronized plots/pngs of the middle slice of all four types of the MRI scans like this:\n![synchronized plots](https://user-images.githubusercontent.com/775607/135853998-67b0348c-bed0-42c0-84d1-1b0d872cc583.png)\n\nNext, I created 12 synchronized side-by-side plot videos / animations. I think this looks really cool. Created with this notebook: https://www.kaggle.com/ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w and dataset: https://www.kaggle.com/ohbewise/synchronized-mri-flair-t1w-t1wce-t2w-animations \n![](https://storage.googleapis.com/kagglesdsdata/datasets/1628949/2676982/processed/00688/gif/00688.gif?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20211012%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20211012T021308Z&X-Goog-Expires=345599&X-Goog-SignedHeaders=host&X-Goog-Signature=1df1bc94fbfb1f497f8118fedfa889f864aa55413dacad67d6bb8dcbd8a7d783e6eb9057da74951146ec715ee0a4fe7032b8c965de785e100319aa71059368019f6ad0c2e76e9faba50507b228c778c24305884210087623298d83c5a03562b4ffc3e28889834ea9096986efc7b2ebec4de7f07dbb7d7d293525dabca9bd34965f7891a88b2d984e25e5a9ad6740bcca26c4d5ae579cf00e5d5bd8559ef9e1c6624e752be9a183d41b36f7f635cb75fde148dadad32c31edc83af87fbb6fc2c6083b076bf2f6b606cd783eb09f1a45c539c23f3629ae6d85a95bbc9dfa100572ecca79b92260770bf10390e9ce6cd8af04f2a42c9bed4edcf56dd5fa1d6ec9fc)\n\nNext, I will be also removing all plot titles, subtitles, and x/y scaling - smashing all 12 images together by cropping out the extra pixels, so they can be used in 2D machine learning.",
    "1534045": "I'm looking forward to seeing the synchronized animations :) Good job and good luck!",
    "1534491": "ton of coding... then finding a library contains all I need for MRI\njust a wonderful library Thx @fepegar 😉👍"
  },
  "source": "meta"
}