Tissue deformation and shape models in image-guided interventions: a discussion paper

被引:61
作者
Hawkes, DJ [1 ]
Barratt, D [1 ]
Blackall, JM [1 ]
Chan, C [1 ]
Edwards, PJ [1 ]
Rhode, K [1 ]
Penney, GP [1 ]
McClelland, J [1 ]
Hill, DLG [1 ]
机构
[1] Kings Coll London, GKT Sch Med, Div Imaging Sci, London WC2R 2LS, England
基金
英国工程与自然科学研究理事会;
关键词
image registration; statistical shape modeling; motion modeling; biomechanical modeling; image-guided interventions;
D O I
10.1016/j.media.2004.11.007
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 promotes the concept of active models in image-guided interventions. We outline the limitations of the rigid body assumption in image-guided interventions and describe how intraoperative imaging provides a rich source of information oil spatial location of anatomical structures and therapy devices, allowing a preoperative plan to be updated during an intervention. Soft tissue deformation and variation from an atlas to a particular individual can both be determined using non-rigid registration. Established methods using free-form deformations have a very large number of degrees of freedom. Three examples of deformable models motion models. biomechanical models and statistical shape models - are used to illustrate how prior information can be used to restrict the number of degrees of freedom of the registration algorithm and thus provide active models for image-guided interventions. We provide preliminary results from applications for each type of model. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:163 / 175
页数:13
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