An algorithmic overview of surface registration techniques for medical imaging

被引:280
作者
Audette, MA
Ferrie, FP
Peters, TM
机构
[1] McGill Univ, Montreal Neurol Inst, Montreal, PQ H3A 2B4, Canada
[2] McGill Univ, McGill Ctr Intelligent Machines, Montreal, PQ H3A 2B4, Canada
[3] John P Robarts Res Inst, London, ON N6A 5K8, Canada
关键词
registration; feature; free-form surface; surface model; appearance;
D O I
10.1016/S1361-8415(00)00014-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a literature survey of automatic 3D surface registration techniques emphasizing the mathematical and algorithmic underpinnings of the subject. The relevance of surface registration to medical imaging is that there is much useful anatomical information in the form of collected surface points which originate from complimentary modalities and which must be reconciled. Surface registration can be roughly partitioned into three issues: choice of transformation, elaboration of surface representation and similarity criterion, and matching and global optimization. The first issue concerns the assumptions made about the nature of relationships between the two modalities, e.g. whether a rigid-body assumption applies, and if nor, what type and how general a relation optimally maps one modality onto the other. The second issue determines what type of information we extract from the 3D surfaces, which typically characterizes their local or global shape, and how we organize this information into a representation of the surface which will lead to improved efficiency and robustness in the last stage. The last issue pertains to how we exploit this information to estimate the transformation which best aligns local primitives in a globally consistent manner or which maximizes a measure of the similarity in global shape of two surfaces. Within this framework, this paper discusses in detail each surface registration issue and reviews the state-of-the-art among existing techniques. (C) 2000 Elsevier Science BN. All rights reserved.
引用
收藏
页码:201 / 217
页数:17
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