DocumentCode
1870542
Title
Semiautomatic non-rigid 3-D image registration for MR-Guided Liver Cancer Surgery
Author
Chen, Yen-wei ; Tsubokawa, Katsumi ; Xu, Rui ; Morikawa, Shigehiro ; Kurumi, Yoshimasa
Author_Institution
Electron. & Inf. Eng. Sch., Central South Univ. of Forestry & Tech., Changsha
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1800
Lastpage
1803
Abstract
Recently a growing interest has been seen in minimally invasive treatments with open configuration magnetic resonance (Open-MR) scanners. In this paper, we proposed a semi-automatic non-rigid 3D MR-CT image registration technique for MR-Guided Liver Cancer Surgery in which cancer tissues are coagulated by microwave ablation. Because of the lower magnetic field (0.5 T) and various different surgical conditions, sometimes tumors can not be visualized clearly on Open-MR volumes. Combining of CT volumes acquired before surgery, it is possible to identify the tumor´s location by application of registration techniques. Since such a registration problem belongs to a non-rigid one considering the easy deformation of livers, free-form deformation (FFD) based registration method is applied. Similarity measurement in registration is normalized mutual information (NMI). Both phantom and clinical experiments show that the registration is accurate enough (ap1.45 mm) for liver cancer surgery given some proper processing steps.
Keywords
biomedical MRI; cancer; computerised tomography; image registration; liver; medical image processing; surgery; MR CT image registration; free form deformation; liver cancer surgery; microwave ablation; normalized mutual information; semiautomatic nonrigid 3D image registration; Cancer; Computed tomography; Image registration; Liver neoplasms; Magnetic fields; Magnetic resonance; Microwave theory and techniques; Minimally invasive surgery; Oncological surgery; Visualization; Computer Aided Surgery; Free Form Deformation; Non-rigid Image Registration; Normalized Mutual Information (NMI); Open-MR Scanner Guided Liver Cancer Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712126
Filename
4712126
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