A probabilistic objective function for 3D rigid registration of intraoperative us and preoperative MR brain images

被引:6
|
作者
Coupe, Pierrick [1 ]
Hellier, Pierre [1 ]
Morandi, Xavier [1 ]
Barillot, Christian [1 ]
机构
[1] Univ Rennes 1, CNRS, IRISA, UMR 6074, F-35042 Rennes, France
关键词
D O I
10.1109/ISBI.2007.357103
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The registration of intraoperative Ultrasound (US) with preoperative Magnetic Resonance (MR) images is a challenging problem due to the difference of information contained in each image modality. To overcome this difficulty, we introduce a new probabilistic function for similarity measurements based on the mean curvature of MR isophots and US hyperchogenic structures. Experiments were carried out on 3 patients and compared with three other registration approaches. The results show that the proposed method converges robustly compared to the standard registration techniques, with a computational time compatible with intraoperative use.
引用
收藏
页码:1320 / 1323
页数:4
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