This repository is the official MATLAB implementation of Mitral Valve Segmentation using Robust Nonnegative Matrix Factorization.

Some results of the proposed methods are shown in: https://drive.google.com/drive/folders/1Scpy54x0-_zXpP3bXZIYJPitN2kMUyB1?usp=sharing

• Please insert the videos that should be used for mitral valve segmentation into the folder: ./data/original/
• Create the ground truth data by running the file ./tools/createGroundTruth.m, which will be saved into ./data/ground_truth/ and ./data/ground_truth_window/
• Run ./main.m to start the algorithm
• Run ./tools/showResults.m to analyze the segmentation results

• To run one of the Robust Nonnegative Matrix Factorization (RNMF) methods, please run ids = rnmf([methodname], [numberofvideos]);
• Instead of methodname, insert one of the following methods: 'robustNMF', 'robustBreg', 'robustNMF_excludeWHS' or 'robustNMF_excludeWHS_Breg'
• Replace numberofvideos by the number of videos you want to segment
• Please adapt the settings for RNMF in ./rnmf.m

• To apply the segmentation methods, please run segment('segmentCVPlus',[rnmfmethodname],ids,'postProcessing',[postprocessingsetting],'cropped', [windowingsetting]);
• Instead of rnmfmethodname, insert the method of the following methods, on which reults you want to run the segmentation on: 'robustNMF', 'robustBreg', 'robustNMF_excludeWHS' or 'robustNMF_excludeWHS_Breg'
• Replace postprocessingsetting by: true, false or both, depending on if you would like to run the Refinement Step or not (or get results for both cases)
• Replace windowingsetting by true or false, depending on if you would like to apply the windowing approach of the window calculated in the RNMF step
• Please adapt the settings for the segmentation in ./segment.m