Measuring and modeling soft tissue deformation for image guided interventions

Authors:
David J. Hawkes;P. J. Edwards;D. Barratt;J. M. Blackall;G. P. Penney;C. Tanner
Affiliations:
Imaging Sciences, London, United Kingdom;Imaging Sciences, London, United Kingdom;Imaging Sciences, London, United Kingdom;Imaging Sciences, London, United Kingdom;Imaging Sciences, London, United Kingdom;Imaging Sciences, London, United Kingdom
Venue:
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
Year:
2003

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Abstract

This paper outlines the limitations of the rigid body assumption in image guided interventions and describes how intra-operative imaging provides a rich source of information on spatial location of key structures 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. Classic methods using free-form deformations have a very large number of degrees of freedom. Three examples - 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 to produce solutions that could plausibly be used to guide interventions. We provide preliminary results from applications in each.