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A scalable approach to T2-MRI colon segmentation

Author
Orellana, B.; Monclús, E.; Navazo, I.; Brunet, P.; Bendezú, Á.; Azpiroz, F.
Type of activity
Journal article
Journal
Medical image analysis
Date of publication
2020-07-01
Volume
63
First page
1
Last page
21
DOI
10.1016/j.media.2020.101697
Project funding
SAF2016-76648-R - Neurofisiología y neurofisopatología digestiva
TIN2017-88512-C2-1-R
Repository
http://hdl.handle.net/2117/191365 Open in new window
URL
https://www.sciencedirect.com/science/article/abs/pii/S1361841520300621 Open in new window
Abstract
The study of the colonic volume is a procedure with strong relevance to gastroenterologists. Depending on the clinical protocols, the volume analysis has to be performed on MRI of the unprepared colon without contrast administration. In such circumstances, existing measurement procedures are cumbersome and time-consuming for the specialists. The algorithm presented in this paper permits a quasi-automatic segmentation of the unprepared colon on T2-weighted MRI scans. The segmentation algorithm i...
Citation
Orellana, B. [et al.]. A scalable approach to T2-MRI colon segmentation. "Medical image analysis", 1 Juliol 2020, vol. 63, p. 1-21.
Keywords
Colon segmentation, Graph-cuts, MRI, Tubularity
Group of research
ViRVIG - Visualisation, Virtual Reality and Graphic Interaction Research Group

Participants