An Entropy-Based Technique for Nonrigid Medical Image Alignment

被引：0

作者：

Khader, Mohammed ^{[1
]}

Ben Hamza, A. ^{[1
]}

机构：

[1] Concordia Univ, Concordia Inst Informat Syst Engn, Montreal, PQ, Canada

来源：

COMBINATORIAL IMAGE ANALYSIS | 2011年 / 6636卷

关键词：

Image registration; entropy; nonrigid; REGISTRATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a nonrigid image registration technique by minimizing an information-theoretic measure using the quasi-Newton method as an optimization scheme and a cubic B-spline for modeling the nonrigid deformation field between the reference and target 3D image pairs. Experimental results are provided to demonstrate the registration accuracy of the proposed approach. The feasibility of our method is demonstrated on a 3D magnetic resonance data volume.

引用

页码：444 / 455

页数：12

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