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Coloring of DT-MRI fiber Traces using Laplacian Eigenmaps

Authors
 Anders Brun  ;  Hae Jeong Park  ;  Hans Knutsson  ;  Carl-Fredrik Westin 
Citation
 Lecture Notes in Computer Science, Vol.2809 : 518-529, 2003 
Journal Title
 Lecture Notes in Computer Science 
ISSN
 0302-9743 
Issue Date
2003
MeSH
Similarity Measure ; Diffusion Tensor ; Seed Point ; Post Processing Method ; Diffusion Tensor Magnetic Resonance Image
Keywords
Similarity Measure ; Diffusion Tensor ; Seed Point ; Post Processing Method ; Diffusion Tensor Magnetic Resonance Image
Abstract
We propose a novel post processing method for visualization of fiber traces from DT-MRI data. Using a recently proposed non-linear dimensionality reduction technique, Laplacian eigenmaps [3], we create a mapping from a set of fiber traces to a low dimensional Euclidean space. Laplacian eigenmaps constructs this mapping so that similar traces are mapped to similar points, given a custom made pairwise similarity measure for fiber traces. We demonstrate that when the low-dimensional space is the RGB color space, this can be used to visualize fiber traces in a way which enhances the perception of fiber bundles and connectivity in the human brain.
Full Text
http://link.springer.com/chapter/10.1007/978-3-540-45210-2_47
DOI
10.1007/978-3-540-45210-2_47
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Park, Hae Jeong(박해정) ORCID logo https://orcid.org/0000-0002-4633-0756
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/143617
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