Tissue deformation and shape models in image-guided interventions: a discussion paper.
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.
Hawkes
D J
DJ
Division of Imaging Sciences, GKT School of Medicine, King's College London, UK. david.hawkes@kcl.ac.uk
Barratt
D
D
Blackall
J M
JM
Chan
C
C
Edwards
P J
PJ
Rhode
K
K
Penney
G P
GP
McClelland
J
J
Hill
D L G
DL
D000465:Algorithms; D003198:Computer Simulation; D003238:Connective Tissue / Q000473:pathology / Q000503:physiopathology* / Q000601:surgery*; D004548:Elasticity; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D009068:Movement; D013382:Subtraction Technique; D025321:Surgery, Computer-Assisted / Q000379:methods*