A semiautomatic nonrigid registration in liver cancer treatment with an open MR system

Authors:
Songyuan Tang;Yen-wei Chen;Rui Xu;Yongtian Wang;Shigehiro Morikawa;Yoshimasa Kurumi
Affiliations:
Department of Opto-electronic Engineering, Beijing Institute of Technology, P.R. China;College of Information Science and Engineering, Ritsumeikan University, Japan;College of Information Science and Engineering, Ritsumeikan University, Japan;Department of Opto-electronic Engineering, Beijing Institute of Technology, P.R. China;Shiga University of Medical Science, Japan;Shiga University of Medical Science, Japan
Venue:
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Year:
2006

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Abstract

A semiautomatic nonrigid registration is proposed to match preoperative CT images and real-time MR images during the ablation of liver tumors. The method includes three parts. Firstly, the livers are extracted from CT and MR images. Since the CT image is acquired a several days before surgery, there is enough time for surgeons to segment the liver from the CT image manually. During the surgery, active contour is used to extract the liver from the MR image. Then, we use affine registration to match the images roughly. Finally, high accuracy registration is reached by free-form deformation registration. The average distance of liver surfaces is within 1.5 mm and the result of visual inspection is very well. The results are far better than Andres’.