Presentation | 2012-07-19 Inter-subject Variability of Brain Shape : An Analysis of Deformation Matrices Kazunori SATO, Kai WU, Hiroshi FUKUDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Deformation matrices generated by the non-linear image matching algorithm was used to detect the inter-subject variability of brain shape. Euclidean distance and cosine similarity mapping showed the brain area where inter-subject variability is large. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Magnetic resonance image / human brain / structural difference / Euclidean distance / cosine similarity |
Paper # | MI2012-25 |
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Committee | MI |
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Conference Date | 2012/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Inter-subject Variability of Brain Shape : An Analysis of Deformation Matrices |
Sub Title (in English) | |
Keyword(1) | Magnetic resonance image |
Keyword(2) | human brain |
Keyword(3) | structural difference |
Keyword(4) | Euclidean distance |
Keyword(5) | cosine similarity |
1st Author's Name | Kazunori SATO |
1st Author's Affiliation | Institute of Development, Aging and Cancer, Tohoku University() |
2nd Author's Name | Kai WU |
2nd Author's Affiliation | Institute of Development, Aging and Cancer, Tohoku University |
3rd Author's Name | Hiroshi FUKUDA |
3rd Author's Affiliation | Institute of Development, Aging and Cancer, Tohoku University |
Date | 2012-07-19 |
Paper # | MI2012-25 |
Volume (vol) | vol.112 |
Number (no) | 142 |
Page | pp.pp.- |
#Pages | 3 |
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