NDLI: Grouping of brain MR images via affinity propagation

Content Provider	IEEE Xplore Digital Library
Author	Gang Li Lei Guo Tianming Liu
Copyright Year	2009
Description	Author affiliation: Department of Computer Science, The University of Georgia, Athens, USA (Tianming Liu) \|\| School of Automation, Northwestern Polytechnical University, Xi'an, China (Gang Li; Lei Guo)
Abstract	The human brain anatomy is extremely variable across individuals in terms of its size, shape, and structure patterning. In this paper, a novel method is proposed for grouping brain MR images into different patterns. This method adopts the affinity propagation methodology to partition a population of brain images into different clusters. In the affinity propagation method, the tissue-segmented and anatomically-parcellated images are used to define the similarity between brain images, in contrast to intensity-based similarity measurement used in previous methods. After clustering, in each cluster (called a sub-group) a representative exemplar image is identified as the single subject atlas for the sub-group. Meanwhile, all the subject images belonging to the same sub-group are identified. This method has been applied to the publicly available OASIS neuroimaging dataset that includes 414 subject brain MRI images. Experiments show that the method is able to group brain MR images into different patterns effectively.
Starting Page	2425
Ending Page	2428
File Size	1606263
Page Count	4
File Format	PDF
ISBN	9781424438273
DOI	10.1109/ISCAS.2009.5118290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain Humans Image segmentation Anatomy Shape Magnetic resonance imaging Mean square error methods Mutual information Automation Neuroimaging
Content Type	Text
Resource Type	Article

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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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