Measuring and modeling soft tissue deformation for image guided interventions

N Ayache, H Delingette (Editor), D Barratt, J M Blackall, G P Penney, C Tanner

Research output: Chapter in Book/Report/Conference proceedingConference paper

6 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationLECT NOTE COMPUT SCI
Place of PublicationBERLIN
PublisherSpringer
Pages1 - 14
Number of pages14
ISBN (Print)3-540-40439-2
Publication statusPublished - 2003
EventInternational Symposium on Surgery Simulation and Soft Tissue Modeling - JUAN LES PINS, France
Duration: 1 Jan 2003 → …

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE

Conference

ConferenceInternational Symposium on Surgery Simulation and Soft Tissue Modeling
Country/TerritoryFrance
CityJUAN LES PINS
Period1/01/2003 → …

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