Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 56, Issue 3, Pages 781-789Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2009.2012423
Keywords
Active contour models; brain tumor; segmentation; snakes; vector flow
Categories
Funding
- Alberta Heritage Foundation for Medical Research (AHFMR)
- Informatics Circle of Research Excellence (iCORE)
- Natural Sciences and Engineering Research Council (NSERC)
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In this paper, we propose a new approach that we call the fluid vector flow (FVF) active contour model to address problems of insufficient capture range and poor convergence for concavities. With the ability to capture a large range and extract concave shapes, FVF demonstrates improvements over techniques like gradient vector flow, boundary vector flow, and magnetostatic active contour on three sets of experiments: synthetic images, pediatric head MRI images, and brain tumor MRI images from the Internet brain segmentation repository.
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