This extension implements modern image segmentation and enhancement approaches, allowing for the highlight of abnormal white matter voxels in magnetic resonance images.
It provides the following modules:
- LS Segmenter: specific for hyperintense Multiple Sclerosis lesion segmentation on T2-FLAIR images. It implements a hyperintense T2-FLAIR lesion segmentation based on a hybrid segmentation algorithm, published by Senra Filho, A.C.
da Silva Senra Filho, A.C. A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation. Med Biol Eng Comput 56, 1063–1076 (2018). DOI
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LS Contrast Enhancement: specific to increase the contrast of abnormal voxels of the same T2-FLAIR images).
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AFT Segmenter: A simple implementation of another recent MS lesion segmentation algorithm based on the method described in Cabezas M. et al.
Mariano Cabezas, Arnau Oliver, Eloy Roura, Jordi Freixenet, Joan C. Vilanova, Lluís Ramió-Torrentà, Àlex Rovira, Xavier Lladó, Automatic multiple sclerosis lesion detection in brain MRI by FLAIR thresholding, Computer Methods and Programs in Biomedicine, Volume 115, Issue 3, 2014, Pages 147-161, ISSN 0169-2607, DOI.
To check all the parameters and information about this Slicer extension, plase access the documentation page
- Antonio Senra Filho: acsenrafilho@gmail.com
Please, note that this code is under the following license
- Apache 2.0 - Read file: LICENSE
