{ "id": 183788, "title": "What is a STUDY, a SERIES and finally SOPInstanceUID ? ", "url": "/competitions/rsna-str-pulmonary-embolism-detection/discussion/183788", "author_name": "Aman Arora", "post_date": "2020-09-18T03:47:42.311000", "votes": 0, "comment_count": 2, "views": 0, "content": "

UPDATE: Here is an existing topic that I didn't know about - https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881

\n

Sorry I am new to the field of medical imaging and wonder if many more like me would like to understand the differences in simple words?

\n
\n

As I understand a SERIES consists of multiple Images (SOPInstanceUID) of the same patient? And a STUDY actually refers to multiple patients?

\n

Because a CT scan takes multiple 2D images - so, there are multiple .dcm files for the same SERIES.

\n

Is this is a good understanding?

\n
\n

PS: Thanks Kaggle community, the discussions have been a gold mine.

", "messages": [ { "id": 1015226, "postDate": "2020-09-18T03:56:16.240Z", "content": "

Take a look at:

\n

link

\n

It's a hierachy:
\nPatient
\n--StudyInstanceUID - a single CT scan. In this data, we only have one study per patient.
\n -----SeriesInstanceUID - one set of images taken in a continuously (say 200 images through the chest, top to bottom)
\n In this data we only have one Series from the Study. In real life, there would be other series also.
\n--------SOPInstanceUID - a single image. Each stored in a .dcm file.

", "rawMarkdown": "Take a look at:\n\n[link](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881)\n\nIt's a hierachy:\nPatient\n--StudyInstanceUID - a single CT scan. In this data, we only have one study per patient.\n -----SeriesInstanceUID - one set of images taken in a continuously (say 200 images through the chest, top to bottom)\n In this data we only have one Series from the Study. In real life, there would be other series also.\n--------SOPInstanceUID - a single image. Each stored in a .dcm file.\n\n", "votes": 1, "replies": [ { "id": 1015229, "postDate": "2020-09-18T03:59:54.327Z", "content": "

Thank you! :)

", "rawMarkdown": "Thank you! :)" } ] }, { "id": 1015222, "postDate": "2020-09-18T03:47:42.313Z", "content": "

UPDATE: Here is an existing topic that I didn't know about - https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881

\n

Sorry I am new to the field of medical imaging and wonder if many more like me would like to understand the differences in simple words?

\n
\n

As I understand a SERIES consists of multiple Images (SOPInstanceUID) of the same patient? And a STUDY actually refers to multiple patients?

\n

Because a CT scan takes multiple 2D images - so, there are multiple .dcm files for the same SERIES.

\n

Is this is a good understanding?

\n
\n

PS: Thanks Kaggle community, the discussions have been a gold mine.

", "rawMarkdown": "UPDATE: Here is an existing topic that I didn't know about - https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881\n\nSorry I am new to the field of medical imaging and wonder if many more like me would like to understand the differences in simple words? \n\n---\n\nAs I understand a SERIES consists of multiple Images (SOPInstanceUID) of the **same patient**? And a STUDY actually refers to **multiple patients**? \n\nBecause a CT scan takes multiple 2D images - so, there are multiple `.dcm` files for the same SERIES. \n\nIs this is a good understanding? \n\n---\n\nPS: Thanks Kaggle community, the discussions have been a gold mine. " } ], "comments": [ { "id": 1015226, "author_name": "quadcore/Richard Epstein", "author_url": "", "post_date": "2020-09-18T03:56:16.240000", "content": "

Take a look at:

\n

link

\n

It's a hierachy:
\nPatient
\n--StudyInstanceUID - a single CT scan. In this data, we only have one study per patient.
\n -----SeriesInstanceUID - one set of images taken in a continuously (say 200 images through the chest, top to bottom)
\n In this data we only have one Series from the Study. In real life, there would be other series also.
\n--------SOPInstanceUID - a single image. Each stored in a .dcm file.

", "votes": 1, "replies": [ { "id": 1015229, "author_name": "Aman Arora", "author_url": "", "post_date": "2020-09-18T03:59:54.327000", "content": "

Thank you! :)

", "votes": 0, "replies": [] } ] } ], "raw_markdown_by_id": { "1015226": "Take a look at:\n\n[link](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881)\n\nIt's a hierachy:\nPatient\n--StudyInstanceUID - a single CT scan. In this data, we only have one study per patient.\n -----SeriesInstanceUID - one set of images taken in a continuously (say 200 images through the chest, top to bottom)\n In this data we only have one Series from the Study. In real life, there would be other series also.\n--------SOPInstanceUID - a single image. Each stored in a .dcm file.\n\n", "1015222": "UPDATE: Here is an existing topic that I didn't know about - https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182736#1009881\n\nSorry I am new to the field of medical imaging and wonder if many more like me would like to understand the differences in simple words? \n\n---\n\nAs I understand a SERIES consists of multiple Images (SOPInstanceUID) of the **same patient**? And a STUDY actually refers to **multiple patients**? \n\nBecause a CT scan takes multiple 2D images - so, there are multiple `.dcm` files for the same SERIES. \n\nIs this is a good understanding? \n\n---\n\nPS: Thanks Kaggle community, the discussions have been a gold mine. " } }