Evaluation of hippocampal segmentation methods for healthy and pathological subjects

C. A. Bishopy, M. Jenkinson, J. Declerck, D. Merhof

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Hippocampal atrophy is a clinical biomarker of Alzheimer's disease (AD) and is implicated in many other neurological and psychiatric diseases. For this reason, there is much interest in the accurate, reproducible delineation of this region of interest (ROI) in structural MR images. Here, both current and novel MR hippocampal segmentation methods are presented and evaluated: Two versions of FMRIB's Integrated Registration and Segmentation Tool (FIRST and FIRSTv2), Freesurfer's Aseg (FS), Classifier Fusion (CF) and a Fast Marching approach (FMClose). Segmentation performance on two clinical datasets is assessed according to three common measures: Dice coefficient, false positive rate (FPR) and false negative rate (FNR). The first clinical dataset contains 9 normal controls (NC) and 8 highly-atrophied AD patients, whilst the second is a collection of 16 NC and 16 bipolar (BP) patients. Results show that CF outperforms all other methods on the BPSA data, whilst FIRST and FIRSTv2 perform best on the CMA data, with average Dice coefficients of 0.81±0.01, 0.85±0.00 and 0.85±0.01, respectively. This work brings to light several strengths and weaknesses of the evaluated hippocampal segmentation methods, of utmost importance for robust and accurate segmentation in the presence of specific and substantial pathology.

Original languageEnglish
Title of host publicationEG VCBM 2010 - Eurographics Workshop on Visual Computing for Biology and Medicine
Pages17-24
Number of pages8
DOIs
Publication statusPublished or Issued - 1 Dec 2010
Externally publishedYes
Event2nd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2010 - Leipzig, Germany
Duration: 1 Jul 20102 Jul 2010

Publication series

NameEG VCBM 2010 - Eurographics Workshop on Visual Computing for Biology and Medicine

Other

Other2nd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2010
CountryGermany
CityLeipzig
Period1/07/102/07/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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