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Graduate School of Engineering, Kyushu Institute of Technology
Graduate School of Engineering, Kyushu Institute of Technology
Graduate School of Engineering, Kyushu Institute of Technology
Graduate School of Engineering, Kyushu Institute of Technology
Graduate School of Engineering, Kyushu Institute of Technology
抄録
Image registration is an important and a fundamental task in computer vision and image processing field. For example, to make a surgical plan for head operation, the surgeons should gain more detailed information from CT angiography (CTA) and MR angiography (MRA) images. And the abnormalities can be easily detected from the fusion image which is obtained from two different modalities. One of the multiple modal image registration methods is matching the CTA and MRA, by which the image of head vascular could be enhanced. In general, the procedure for fusion is completed manually. It is time-consuming and subjective. Particularly the anatomical knowledge is required as well. Therefore, the development of automatic registration methods is expected in medical fields. In this paper, we propose a method for high accurate registration, which concentrates the structure of head vascular. We use 2-D projection images and restrict volume of interests to improve the processing affection. In experiments, we performed our proposed method for registration on five sets of CTA and MRA images and a better result from our previous method is obtained.
内容記述
SCIS&ISIS 2014 : Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent, December 3-6, 2014, Kitakyushu, Japan
雑誌名
2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)
ページ
1490 - 1493
発行年
2015-02-19
ISBN
978-1-4799-5955-6
DOI
info:doi/10.1109/SCIS-ISIS.2014.7044848
権利
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