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

Authors :
Hawkes, D.J.
Barratt, D.
Blackall, J.M.
Chan, C.
Edwards, P.J.
Rhode, K.
Penney, G.P.
McClelland, J.
Hill, D.L.G.
Source :
Medical Image Analysis. Apr2005, Vol. 9 Issue 2, p163-175. 13p.
Publication Year :
2005

Abstract

Abstract: 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 on 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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
13618415
Volume :
9
Issue :
2
Database :
Academic Search Index
Journal :
Medical Image Analysis
Publication Type :
Academic Journal
Accession number :
17412322
Full Text :
https://doi.org/10.1016/j.media.2004.11.007