NDLI: Multi-structure whole brain registration and population average

Content Provider	IEEE Xplore Digital Library
Author	Khan, A.R. Beg, M.F.
Copyright Year	2009
Description	Author affiliation: School of Engineering Science, Faculty of Applied Science, Simon Fraser University, 8888 University Dr, Burnaby, BC, Canada (Khan, A.R.; Beg, M.F.)
Abstract	We present here a novel method for whole brain magnetic resonance (MR) image registration that explicitly penalizes the mismatch of cortical and subcortical regions by simultaneously utilizing anatomic segmentation information from multiple cortical and subcortical structures, represented as volumetric images, with given T1-weighted MR image for registration. The registration is computed via variational optimization in the space of smooth velocity fields in the large deformation diffeomorphic metric matching (LDDMM) framework. We tested our method using a set of 10 manually labeled brains, and found quantitatively that subcortical and cortical alignment is improved over traditional single-channel MRI registration. We use this new method to generate a volumetric and cortical surface-based population average. The average grayscale image is found to be crisp, and allows the reconstruction and labeling of the cortical surface.
Starting Page	5797
Ending Page	5800
File Size	1972247
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5335196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Gray-scale Image registration Costs Magnetic resonance Surface reconstruction Image edge detection USA Councils Testing Magnetic resonance imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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