Hawkes, DJ; Barratt, D; Blackall, JM; Chan, C; Edwards, PJ; Rhode, K; ... Hill, DLG; + view all Hawkes, DJ; Barratt, D; Blackall, JM; Chan, C; Edwards, PJ; Rhode, K; Penney, GP; McClelland, J; Hill, DLG; - view fewer (2005) Tissue deformation and shape models in image-guided interventions: a discussion paper. MEDICAL IMAGE ANALYSIS , 9 (2) 163 - 175. 10.1016/j.media.2004.11.007.
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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 oil 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. (c) 2004 Elsevier B.V. All rights reserved.
|Title:||Tissue deformation and shape models in image-guided interventions: a discussion paper|
|Location:||JUAN LES PINS, FRANCE|
|Keywords:||image registration, statistical shape modeling, motion modeling, biomechanical modeling, image-guided interventions, INTRAOPERATIVE MR-IMAGES, BRAIN DEFORMATION, NONRIGID REGISTRATION, IN-VIVO, ULTRASOUND, SURGERY, SYSTEM, CALIBRATION, VISUALIZATION, NEUROSURGERY|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering|
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