Project: Visualization and review of segmentations

[deepakri201]

Draft Status

Ready - team will start page creating immediately

Category

Segmentation / Classification / Landmarking

Presenter Location

In-person

Key Investigators

• Deepa Krishnaswamy (Brigham and Women's Hospital, USA)
• Vamsi Krishna Thiriveedhi (Brigham and Women's Hospital, USA)
• Cosmin Ciausu (Brigham and Women's Hospital, USA)
• Ron Kikinis (Brigham and Women's Hospital, USA)
• Andrey Fedorov (Brigham and Women's Hospital, USA)

Project Description

We have multiple sets of segmentation results that we would like to review with radiologists and clinicians. The first set of results are from running TotalSegmentator on patients from the National Lung Screening Trial (NLST). The second set includes results from work that Deepa and Cosmin are performing with training a model for abdominal MR/CT segmentation using synthesized data.

We would like to review this work, and showcase some results during project week.

Objective

1. Review results from TotalSegmentator on NLST patients. Use the Netter Atlas to learn about anatomy, and correlate this with the data that TotalSegmentator used for training, to further understand our results.
2. Review results from the abdominal segmentations on both MR and CT patients.

Approach and Plan

1. We will run TotalSegmentator on a sample of 1000 patients from NLST, convert to DICOM representation, and create OHIF links.
2. We will create DICOM SEG representations of the abdominal segmentations on IDC data, and create OHIF links.

Progress and Next Steps

No response

Illustrations

No response

Background and References

TotalSegmentator SynthSeg

[github-actions[bot]]

Project Page Pull Request Creation

:stop_sign: STOPPED: Project already exists