Presentation | 2012/7/12 An Efficient Volumetric Global Image Registration Shuang LU, Tomoya SAKAI, Atsushi IMIYA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we develop a fast algorithm for random-projection-based global registration. By generating many transformed images from the reference, the nearest neighbour based image registration detects the transformation which establishes the best matching from generated transformations. To reduce computational cost of the nearest nighbour search without significant loss of accuracy, we first use random projection. To reduce computational complexity of random projection, we second use spectrum-spreading technique and circular convolution. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Global registration / Volumetric image / Random projection |
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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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Registration To | Medical Imaging (MI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Efficient Volumetric Global Image Registration |
Sub Title (in English) | |
Keyword(1) | Global registration |
Keyword(2) | Volumetric image |
Keyword(3) | Random projection |
1st Author's Name | Shuang LU |
1st Author's Affiliation | IMIT, Chiba University() |
2nd Author's Name | Tomoya SAKAI |
2nd Author's Affiliation | Faculty of Engineering, Nagasaki University |
3rd Author's Name | Atsushi IMIYA |
3rd Author's Affiliation | UBICT-IMIT, Chiba University |
Date | 2012/7/12 |
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Volume (vol) | vol.112 |
Number (no) | 142 |
Page | pp.pp.- |
#Pages | 6 |
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