aBEAT: a toolbox for consistent analysis of longitudinal adult brain MRI

Yakang Dai; Yaping Wang; Li Wang; Guorong Wu; Feng Shi; Dinggang Shen; Alzheimer’s Disease Neuroimaging Initiative

doi:10.1371/journal.pone.0060344

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aBEAT: a toolbox for consistent analysis of longitudinal adult brain MRI

Journal article

Open access

Peer reviewed

aBEAT: a toolbox for consistent analysis of longitudinal adult brain MRI

Yakang Dai, Yaping Wang, Li Wang, Guorong Wu, Feng Shi, Dinggang Shen and Alzheimer’s Disease Neuroimaging Initiative

PloS one, Vol.8(4), pp.e60344-e60344

2013

DOI: 10.1371/journal.pone.0060344

PMCID: PMC3616755

PMID: 23577105

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Abstract

Longitudinal brain image analysis is critical for revealing subtle but complex structural and functional changes of brain during aging or in neurodevelopmental disease. However, even with the rapid increase of clinical research and trials, a software toolbox dedicated for longitudinal image analysis is still lacking publicly. To cater for this increasing need, we have developed a dedicated 4D Adult Brain Extraction and Analysis Toolbox (aBEAT) to provide robust and accurate analysis of the longitudinal adult brain MR images. Specially, a group of image processing tools were integrated into aBEAT, including 4D brain extraction, 4D tissue segmentation, and 4D brain labeling. First, a 4D deformable-surface-based brain extraction algorithm, which can deform serial brain surfaces simultaneously under temporal smoothness constraint, was developed for consistent brain extraction. Second, a level-sets-based 4D tissue segmentation algorithm that incorporates local intensity distribution, spatial cortical-thickness constraint, and temporal cortical-thickness consistency was also included in aBEAT for consistent brain tissue segmentation. Third, a longitudinal groupwise image registration framework was further integrated into aBEAT for consistent ROI labeling by simultaneously warping a pre-labeled brain atlas to the longitudinal brain images. The performance of aBEAT has been extensively evaluated on a large number of longitudinal MR T1 images which include normal and dementia subjects, achieving very promising results. A Linux-based standalone package of aBEAT is now freely available at http://www.nitrc.org/projects/abeat.

Brain - cytology

Time Factors

Brain - physiopathology

Humans

Staining and Labeling

Imaging, Three-Dimensional - methods

Brain - pathology

Magnetic Resonance Imaging - methods

Adult

Brain - physiology

Longitudinal Studies

Details

Title: Subtitle: aBEAT: a toolbox for consistent analysis of longitudinal adult brain MRI
Creators: Yakang Dai - IDEA Lab, Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Yaping Wang
Li Wang
Guorong Wu
Feng Shi
Dinggang Shen
Alzheimer’s Disease Neuroimaging Initiative
Contributors: Laura L Boles-Ponto (Contributor) - University of Iowa, Radiology
Resource Type: Journal article
Publication Details: PloS one, Vol.8(4), pp.e60344-e60344
DOI: 10.1371/journal.pone.0060344
PMID: 23577105
PMCID: PMC3616755
NLM abbreviation: PLoS One
ISSN: 1932-6203
eISSN: 1932-6203
Publisher: Public Library of Science; United States
Grant note: R01 EB006733 / NIBIB NIH HHS R01 AG042599 / NIA NIH HHS CIHR EB006733 / NIBIB NIH HHS AG041721 / NIA NIH HHS P30 AG013846 / NIA NIH HHS EB008374 / NIBIB NIH HHS R01 EB008374 / NIBIB NIH HHS R01 AG041721 / NIA NIH HHS U01 AG024904 / NIA NIH HHS P50 AG008702 / NIA NIH HHS P50 AG005138 / NIA NIH HHS P30 AG008051 / NIA NIH HHS R01 EB009634 / NIBIB NIH HHS EB009634 / NIBIB NIH HHS U01AG024904 / NIA NIH HHS
Language: English
Date published: 2013
Academic Unit: Radiology; Pharmaceutical Sciences and Experimental Therapeutics
Record Identifier: 9984051520902771

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