DocumentCode
3249915
Title
MR-guided liver cancer surgery by nonrigid registration
Author
Tang, Songyuan ; Wang, Yongtian
Author_Institution
Beijing Inst. of Tech., Beijing, China
fYear
2010
fDate
10-13 June 2010
Firstpage
113
Lastpage
117
Abstract
MR images acquired from open magnetic resonance system have been applied to guide percutaneous puncture for ablation of liver tumors recently. However, the MR images do not always show the tumors clearly because of the lower magnetic field (0.5T) and various different surgical and pathological conditions. In our study, we use preoperative CT images to assist locate tumors by registration. In our method, livers are firstly extracted from the MR and CT images as region of interest (ROI). Since the CT image is acquired several days before surgery operation, there is enough time for surgeons to segment the liver correctly from the CT image manually. During the surgery, surgeons wish that the segmentation of the liver from MR images should be fast and easily. By using active contour, only few initial points are selected manually to extract the liver from the selected MR image. Then affine registration and BSpline-based free from deformation registration are applied to extracted livers´ images. The results are evaluated by visual inspection and the overlap of tumors of livers. It shows that the proposed method works effective for liver tumors treatment.
Keywords
biomedical MRI; cancer; computerised tomography; feature extraction; image registration; image segmentation; liver; medical image processing; splines (mathematics); surgery; tumours; BSpline-based free from deformation registration; CT; MR-guided surgery; MRI; active contour; affine registration; cancer; liver; magnetic resonance imaging; nonrigid registration; region of interest; segmentation; tumors; Active contours; Cancer; Computed tomography; Image segmentation; Inspection; Liver neoplasms; Magnetic fields; Magnetic resonance; Oncological surgery; Pathology;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Image Analysis and Clinical Applications (MIACA), 2010 International Conference on
Conference_Location
Guangdong
Print_ISBN
978-1-4244-8011-1
Type
conf
DOI
10.1109/MIACA.2010.5528505
Filename
5528505
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