Visceral slide on abdominal cine-MRI

About

Creators:

weiyixie

evg.martynova

bramdewilde

Contact email:

evgenia.martynova@radboudumc.nl

Image Version:

8c230ce4-491b-466f-8f32-aae7af829e3c

Last updated:

Oct. 13, 2021, 2:20 p.m.

Interfaces

This algorithm implements all of the following input-output combinations:

	Inputs	Outputs
1	Generic Medical Image Description - Kind Image Read from `/input/<uuid>.mha` or `/input/<uuid>.tif` Generic Medical Image	Generic Medical Image Description - Kind Image Write to `/output/<uuid>.mha` or `/output/<uuid>.tif` Generic Medical Image

Model Facts

Summary

This algorithm is the outcome of the Radboud AI for Health project aimed at the creation of a CAD system that facilitates adhesion detection on cine-MRI. More details about the project and the results can be found on the project page.

For a sagittal cine-MRI slice of the abdomen, the algorithm outputs a visceral slide map visualised as an overlay on a single frame of a cine-MRI slice. Visualisation of the output in a viewer is not supported now. To view the result, please click on the image.mha link in the "Result" column, go to "View Result Details" and download output files. Visualised visceral slide map is saved as a .tif file and can be opened with an image viewer.

Mechanism

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Validation and Performance

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Uses and Directions

This algorithm was developed for research purposes only.

Warnings

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Common Error Messages

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Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3