TY - GEN
T1 - Application of nonrigid registration in ablation of liver cancer
AU - Tang, Songyuan
AU - Chen, Yen Wei
AU - Xu, Rui
AU - Wen, Junhai
AU - Wang, Yongtian
PY - 2007
Y1 - 2007
N2 - Ablation is a kind of successful treatment for cancer. The technique inserts a special needle into a tumor and produces heat from Radiofrequency at the needle tip to ablate the tumor. Open configure MR system can take MR images almost real time and now is applied in liver cancer treatments. During a surgery, surgeons select images in which liver tumors are seen clearly, and use them to guide the surgery. However, in some cases with severe chirrhosis, the tumors can't be visualized in the MR images. In such cases, the combination of preoperative CT images will be greatly helpful, if CT images can be registered to the position of MR images accurately. It is a difficult work since the shape of the liver in the MR image is different from that of CT images due to the influent of the surgery. In this paper, we use Bspline based FFD nonrigid image registration to attack the problem. The method includes four steps. Firstly the MRI inhomogeneity is corrected. Secondly, parametric active contour with the gradient vector flow is used to extract the liver as region of interest (ROI) because the method is robust and can obtain satisfied results. Thirdly, affine registration is use to match CT and MR images roughly. Finally, Bspline based FFD nonrigid registration is applied to obtain accuracy registration. Experiments show the proposed method is robust and accuracy.
AB - Ablation is a kind of successful treatment for cancer. The technique inserts a special needle into a tumor and produces heat from Radiofrequency at the needle tip to ablate the tumor. Open configure MR system can take MR images almost real time and now is applied in liver cancer treatments. During a surgery, surgeons select images in which liver tumors are seen clearly, and use them to guide the surgery. However, in some cases with severe chirrhosis, the tumors can't be visualized in the MR images. In such cases, the combination of preoperative CT images will be greatly helpful, if CT images can be registered to the position of MR images accurately. It is a difficult work since the shape of the liver in the MR image is different from that of CT images due to the influent of the surgery. In this paper, we use Bspline based FFD nonrigid image registration to attack the problem. The method includes four steps. Firstly the MRI inhomogeneity is corrected. Secondly, parametric active contour with the gradient vector flow is used to extract the liver as region of interest (ROI) because the method is robust and can obtain satisfied results. Thirdly, affine registration is use to match CT and MR images roughly. Finally, Bspline based FFD nonrigid registration is applied to obtain accuracy registration. Experiments show the proposed method is robust and accuracy.
KW - Image guided therapy
KW - Liver cancer
KW - MR-CT images
KW - Nonrigid registration
UR - http://www.scopus.com/inward/record.url?scp=35148858213&partnerID=8YFLogxK
U2 - 10.1117/12.708423
DO - 10.1117/12.708423
M3 - Conference contribution
AN - SCOPUS:35148858213
SN - 0819466271
SN - 9780819466273
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2007
T2 - Medical Imaging 2007: Visualization and Image-Guided Procedures
Y2 - 18 February 2007 through 20 February 2007
ER -