Literature DB >> 11304081

Automated hippocampal segmentation by regional fluid registration of serial MRI: validation and application in Alzheimer's disease.

W R Crum1, R I Scahill, N C Fox.   

Abstract

The application of voxel-level three-dimensional registration to serial magnetic resonance imaging (MRI) is described. This fluid registration determines deformation fields modeling brain change, which are consistent with a model describing a viscous fluid. The objective was to validate the measurement of hippocampal volumetric change by fluid registration in Alzheimer's disease (AD) against current methodologies. The hippocampus was chosen for this study because it is difficult to measure reproducibly by manual segmentation and is widely studied; however, the technique is applicable to any structure which can be delineated on a scan. First, suitable values for the viscosity-body-force-ratio, alpha (0.01), and the number of iterations (300), were established and the convergence, repeatability, linearity, and accuracy investigated and compared with expert manual segmentation. A simple model of hippocampal atrophy was used to compare simulated volumetric change against that obtained by fluid registration. Finally the serial segmentation was compared with the current gold standard technique-expert human labeling with a volume repeatability of approximately 4%-in 27 subjects (15 normal controls, 12 clinically diagnosed with Alzheimer's disease). The scan-rescan volumetric consistency of serial segmentation by fluid-registration was shown to be superior to human serial segmentors ( approximately 2%). The mean absolute volume difference between fluid and manual segmentation was 0.7%. Fluid registration has potential importance for tracking longitudinal structural changes in brain particularly in the context of the clinical trial where large numbers of subjects may have multiple MR scans. Copyright 2001 Academic Press.

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Mesh:

Year:  2001        PMID: 11304081     DOI: 10.1006/nimg.2001.0744

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  36 in total

1.  Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment.

Authors:  Owen T Carmichael; Howard A Aizenstein; Simon W Davis; James T Becker; Paul M Thompson; Carolyn Cidis Meltzer; Yanxi Liu
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

2.  Combining short interval MRI in Alzheimer's disease: Implications for therapeutic trials.

Authors:  J M Schott; C Frost; J L Whitwell; D G Macmanus; R G Boyes; M N Rossor; N C Fox
Journal:  J Neurol       Date:  2006-09-22       Impact factor: 4.849

3.  Whole brain voxel-wise analysis of single-subject serial DTI by permutation testing.

Authors:  Sungwon Chung; Daniel Pelletier; Michael Sdika; Ying Lu; Jeffrey I Berman; Roland G Henry
Journal:  Neuroimage       Date:  2007-11-07       Impact factor: 6.556

4.  Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2008-11-08       Impact factor: 6.556

5.  Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Michael W Weiner; Paul M Thompson
Journal:  Neuroimage       Date:  2008-07-16       Impact factor: 6.556

6.  Comparing registration methods for mapping brain change using tensor-based morphometry.

Authors:  Igor Yanovsky; Alex D Leow; Suh Lee; Stanley J Osher; Paul M Thompson
Journal:  Med Image Anal       Date:  2009-06-24       Impact factor: 8.545

Review 7.  Automated methods for hippocampus segmentation: the evolution and a review of the state of the art.

Authors:  Vanderson Dill; Alexandre Rosa Franco; Márcio Sarroglia Pinho
Journal:  Neuroinformatics       Date:  2015-04

8.  Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls.

Authors:  Jonathan H Morra; Zhuowen Tu; Liana G Apostolova; Amity E Green; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Arthur W Toga; Clifford R Jack; Norbert Schuff; Michael W Weiner; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2009-09       Impact factor: 5.038

9.  Baseline CSF p-tau levels independently predict progression of hippocampal atrophy in Alzheimer disease.

Authors:  W J P Henneman; H Vrenken; J Barnes; I C Sluimer; N A Verwey; M A Blankenstein; M Klein; N C Fox; P Scheltens; F Barkhof; W M van der Flier
Journal:  Neurology       Date:  2009-09-22       Impact factor: 9.910

10.  Comparison of automated and manual MRI volumetry of hippocampus in normal aging and dementia.

Authors:  Yuan-Yu Hsu; Norbert Schuff; An-Tao Du; Kevin Mark; Xiaoping Zhu; Dawn Hardin; Michael W Weiner
Journal:  J Magn Reson Imaging       Date:  2002-09       Impact factor: 4.813

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