A Fast Medical 3D Image Registration Method Based on a Parametric Representation
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- MEKADA Yoshito
- School of Information Science & Technology, Chukyo University
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- Hirasawa Kousuke
- Mitsubishi Electric Corporation
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- Sumi Kazuhiko
- Mitsubishi Electric Corporation
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- MURASE Hiroshi
- Graduate School of Information Science, Nagoya University
Bibliographic Information
- Other Title
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- パラメトリック表現に基づく医用画像の高速位置あわせ
- パラメトリック ヒョウゲン ニ モトズク イヨウ ガゾウ ノ コウソク イチアワセ
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Abstract
Three dimensional medical image registration is a fundamental technique which applied various medical treatments such as image diagnosis, treatment planning, image guided surgery, etc. In radiation therapy for cancer treatment, quick alignment method around target lesion is required. To align CT images, similarity measurement like normalized cross correlation or mutual information should be calculated. The computational cost must reduce for achieving the online image registration.<br>In this paper, we propose a novel quick rigid registration method which makes it possible to align the three dimensional images using the parametric eigenspace method. By projecting each CT slice image into the eigenspace as a set of low dimensional vectors, image similarity can be calculated very rapidly. The experiments using CT images of the same patient, it is found that the alignment accuracy is almost the same as the method using normalized cross correlation, and the computation time is less than one second.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 129 (9), 1699-1704, 2009
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679582750080
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- NII Article ID
- 10025101953
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 10421355
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed