图像配准
计算机科学
人工智能
计算机视觉
医学影像学
图像融合
图像处理
领域(数学分析)
图像(数学)
人口
医学物理学
模式识别(心理学)
数学
医学
环境卫生
数学分析
作者
Aristeidis Sotiras,Christos Davatzikos,Nikos Paragios
标识
DOI:10.1109/tmi.2013.2265603
摘要
Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: 1) multi-modality fusion, where information acquired by different imaging devices or protocols is fused to facilitate diagnosis and treatment planning; 2) longitudinal studies, where temporal structural or anatomical changes are investigated; and 3) population modeling and statistical atlases used to study normal anatomical variability. In this paper, we attempt to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain. Additional emphasis has been given to techniques applied to medical images. In order to study image registration methods in depth, their main components are identified and studied independently. The most recent techniques are presented in a systematic fashion. The contribution of this paper is to provide an extensive account of registration techniques in a systematic manner.
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