| Presentation | 2010-07-27 An information-theoretic analysis on the limits of brain registration Hiroki YAMAMOTO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Intersubject brain registration is widely used to describe the loci of brain activation or lesions, and to normalize functional data between individual brains. The present study evaluated three registration algorithms - linear volume-based, nonlinear volume-based, and surface-based methods - using probability and entropy maps. We found that the surface-based method gave the best results for probability (average probability:～0.3) but lost its advantage for entropy (average entropy:～1bits). This suggests that the current technology is from perfect and thus should be used with caution about the limits. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | MRI / fMRI / visual area / entropy / probability map / information theory |
| Paper # | NC2010-32 |
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| Committee | NC |
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| Conference Date | 2010/7/20(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 | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An information-theoretic analysis on the limits of brain registration |
| Sub Title (in English) | |
| Keyword(1) | MRI |
| Keyword(2) | fMRI |
| Keyword(3) | visual area |
| Keyword(4) | entropy |
| Keyword(5) | probability map |
| Keyword(6) | information theory |
| 1st Author's Name | Hiroki YAMAMOTO |
| 1st Author's Affiliation | Graduate School of Human and Environmental Studies, Kyoto University() |
| Date | 2010-07-27 |
| Paper # | NC2010-32 |
| Volume (vol) | vol.110 |
| Number (no) | 149 |
| Page | pp.pp.- |
| #Pages | 6 |
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