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Tissue deformation and shape models in image-guided interventions: a discussion paper (2005)
  • Hawkes,
  • D.J.,
  • Barratt,
  • D.,
  • Blackall,
  • J.M.,
  • Chan,
  • C.,
  • Edwards,
  • P.J.,
  • Rhode,
  • K.,
  • Penney,
  • G.P.,
  • McClelland,
  • J.,
  • Hill,
  • D.L.

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.

Publication details
Download http://www.ucl.ac.uk/research/publications/?action=search&pubid=85818
Repository UCL Research Publications Index (MyOPIA) (United Kingdom)
Keywords ,Algorithms, Computer Simulation, Connective Tissue, pathology, physiopathology, surgery, Elasticity, Image Enhancement, methods, Image Interpretation,Computer-Assisted, Models,Biological, Movement, Research Support,Non-U.S.Gov't, Subtraction Technique, Surgery
Type JOUR
Relation 163-175