A METHOD FOR CLUSTERING BRAIN FIBERS.
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Title
A METHOD FOR CLUSTERING BRAIN FIBERS .
Author
Prasad , Shilpa
Advisors
Gangopadhyay , Dr . Aryya
Program
Information Systems
UMBC Department
Information Systems
Document Type
thesis
Sponsors
University of Maryland , Baltimore County (UMBC) .
Keywords
Brain Fibers ; Classification ; Clustering ; Data Mining ; Principal Component Analysis ; Statistical Analysis
Date Issued
2010-01-01
Abstract
The human brain has over 150,000 km of fibers connecting hundreds of billions of neurons . The axons travel in identifiable fiber tracts and following a similar path as a bundle of fibers pass through the brain . These tracts appear in atlases and are used by surgeons and neuroscientists . Although , organization of brain fibers and its white matter is complex and not completely elucidated it is important to understand the organization of the brain . It helps in dealing with brain tumors , intra ventricular lesions , intra cerebral hematomas and others . The goal of this thesis is to take the set of 250,000 stream lines of brain axon paths and cluster them into 20-50 fiber tracts that provide a consistent segmentation across multiple scans . We have used two methods to cluster brain . In first method , we have used classification and clustering algorithms . In second method we have used clustering and distance based measure .
Identifier
10387
Format
application:pdf
Language
en
Collection
UMBC Thesis and Dissertations .
Rights Statement
This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. for permission to publish or reproduce, please see http://library.umbc.edu/speccoll/rightsreproductions.php or contact Special Collections at speccoll(at)umbc.edu.
Source
Prasad_umbc_0434M_10387.pdf
Access Rights
Access limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.
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