publication . Article . 2011

Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): method and validation on clinical data.

Mark Jenkinson; Courtney A. Bishop; Jesper L. R. Andersson; Dorit Merhof; Jerome Declerck;
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  • Published: 01 Apr 2011 Journal: NeuroImage, volume 55, issue 3 (issn: 1053-8119, eissn: 1095-9572, Copyright policy)
  • Country: United Kingdom
Abstract
Abstract With hippocampal atrophy both a clinical biomarker for early Alzheimer's Disease (AD) and implicated in many other neurological and psychiatric diseases, there is much interest in the accurate, reproducible delineation of this region of interest (ROI) in structural MR images. Here we present Fast Marching for Automated Segmentation of the Hippocampus (FMASH): a novel approach using the Sethian Fast Marching (FM) technique to grow a hippocampal ROI from an automatically-defined seed point. Segmentation performance is assessed on two separate clinical datasets, utilising expert manual labels as gold standard to quantify Dice coefficients, false positive r...
Subjects
free text keywords: Cognitive Neuroscience, Neurology, Computer vision, Segmentation, Region of interest, Pattern recognition, Region growing, Automated segmentation, Image quality, Dice, Sørensen–Dice coefficient, Fast marching method, Computer science, Artificial intelligence, business.industry, business
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