Presentation | 2011-09-06 Efficient Rigid Registration for Medical Images Based on Small Sample Set Zisheng LI, Tsuneya KURIHARA, Kazuki MATSUZAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this work, efficient methods for medical image registration are developed. Different image sampling strategies based on random distribution or Halton sequences and their corresponding choices of registration algorithms are evaluated. Efficient and optimal algorithm combinations for rigid registration are proposed based on the evaluation results. Experimental results on Vanderbilt database show that the average running time of the proposed methods is less than 1 sec, while the accuracy level is almost the same as the full sampling method and the state of the arts. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Medical Image Processing / Registration / Image Sampling / Acceleration |
Paper # | MI2011-47 |
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Committee | MI |
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Conference Date | 2011/8/30(1days) |
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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) | Efficient Rigid Registration for Medical Images Based on Small Sample Set |
Sub Title (in English) | |
Keyword(1) | Medical Image Processing |
Keyword(2) | Registration |
Keyword(3) | Image Sampling |
Keyword(4) | Acceleration |
1st Author's Name | Zisheng LI |
1st Author's Affiliation | Central Research Laboratory, Hitachi, Ltd.() |
2nd Author's Name | Tsuneya KURIHARA |
2nd Author's Affiliation | Central Research Laboratory, Hitachi, Ltd. |
3rd Author's Name | Kazuki MATSUZAKI |
3rd Author's Affiliation | Central Research Laboratory, Hitachi, Ltd. |
Date | 2011-09-06 |
Paper # | MI2011-47 |
Volume (vol) | vol.111 |
Number (no) | 199 |
Page | pp.pp.- |
#Pages | 6 |
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