MULTI-MODAL DIFFEOMORPHIC DEMONS REGISTRATION BASED ON POINT-WISE MUTUAL INFORMATION

被引：26
|
作者：
Lu, H. [1 ]
Reyes, M. [1 ]
Serifovic, A. [2 ]
Weber, S. [1 ]
Sakurai, Y. [3 ]
Yamagata, H. [3 ]
Cattin, Ph. C. [4 ]
机构：
[1] Univ Bern, Inst Surg Technol & Biomech, CH-3012 Bern, Switzerland
[2] Univ Tuzla, Fac Elect Engn, Tuzla, Bosnia & Herceg
[3] TOSHIBA Med Syst Corp, Res & Dev Ctr, Otawara, Japan
[4] Univ Basel, Med Imag Analysis Ctr, CH-4003 Basel, Switzerland
来源：
2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO | 2010年
关键词：
Image Registration; Diffeomorphisms; Mutual Information; NONRIGID REGISTRATION;
D O I：
10.1109/ISBI.2010.5490333
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper we propose a variational approach for multi-modal image registration based on the diffeomorphic demons algorithm. Diffeomorphic demons has proven to be a robust and efficient way for intensity-based image registration. However, the main drawback is that it cannot deal with multiple modalities. We propose to replace the standard demons similarity metric (image intensity differences) by point-wise mutual information (PMI) in the energy function. By comparing the accuracy between our PMI based diffeomorphic demons and the B-Spline based free-form deformation approach (FFD) on simulated deformations, we show the proposed algorithm performs significantly better.
引用
收藏
页码：372 / 375
页数：4
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