A MRI-CT Prostate Registration Using Sparse Representation Technique

被引：2
|
作者：
Yang, Xiaofeng [1 ,2 ]
Jani, Ashesh B. [1 ,2 ]
Rossi, Peter J. [1 ,2 ]
Mao, Hui [2 ,3 ]
Curran, Walter J. [1 ,2 ]
Liu, Tian [1 ,2 ]
机构：
[1] Emory Univ, Dept Radiat Oncol, Atlanta, GA 30322 USA
[2] Emory Univ, Winship Canc Inst, Atlanta, GA 30322 USA
[3] Emory Univ, Dept Radiol & Imaging Sci, Atlanta, GA 30322 USA
来源：
MEDICAL IMAGING 2016: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING | 2016年 / 9786卷
关键词：
MRI-CT registration; image-guided intervention; prostate cancer; IMAGE REGISTRATION; CANCER DETECTION; FOCAL THERAPY; SEGMENTATION; LOCALIZATION; COMBINATION;
D O I：
10.1117/12.2216430
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, we propose a new patch-based initial deformation prediction framework for MRI-CT prostate registration. The sparse representation technique is used to estimate the initial deformation between MRI and CT images in a patch-wise fashion. This method can be further refined by many of the existing registration methods after providing a predicted field for initializing prostate MRI-CT registration. Our registration technique was validated with a clinical study of 9 prostate-cancer patients. Our proposed registration was compared with the current intensity-based registration method. This initial investigation of the prostate MRI-CT registration approach using patch-based deformation demonstrated its clinical feasibility as well as its accuracy.
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收藏
页数：8
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