Image Registration Method for CT and MRI Using Genetic Algorithms

DOI Web Site 13 References
  • HAYATA Daichi
    Graduate School of Engineering, Kyushu Institute of Technology
  • YAMAMURA Yutarou
    Graduate School of Engineering, Kyushu Institute of Technology
  • KIM Hyoungseop
    Graduate School of Engineering, Kyushu Institute of Technology
  • TAN Joo Kooi
    Graduate School of Engineering, Kyushu Institute of Technology
  • ISHIKAWA Seiji
    Graduate School of Engineering, Kyushu Institute of Technology
  • YAMAMOTO Akiyoshi
    Graduate School of Engineering, Kyushu Institute of Technology:Kyoaikai Tobata Kyoritsu Hospital

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  • 遺伝的アルゴリズムを用いたCT・MR画像の位置合わせ法
  • イデンテキ アルゴリズム オ モチイタ CT ・ MR ガゾウ ノ イチ アワセ ホウ

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Abstract

Recently, image fusion technique is used on medical field which is obtained various different modalities. Also the technique is performed as a useful application as the visual screening. The improvement and efficiency of the diagnostic function come to be attempted by overlapping the two images, the involved area where the interpretation of radiogram was difficult from the one modality in the other modality. To make a fusion image, registration is important task. However, because many registration techniques need manual operation, increased burden to the doctors and the difference of result becomes a problem. In this paper, we propose a method for image fusion on head CT and MR image to assist surgical plan for the Cyber Knife. Our registration technique is performed two main steps; 1) global registration by using center of gravity, and outline information of image, 2) final registration by use of the mutual information which is selected some VOIs. In this paper, we report some experimental results with registration accuracy and computational processing time.

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