RSS-Feed abonnieren
DOI: 10.1055/s-0038-1634329
Model Driven Therapy
The Instance of Computer Assisted Medical InterventionsPublikationsverlauf
Publikationsdatum:
08. Februar 2018 (online)
Summary
Objectives: Taking into account a priori knowledge is a key issue to meet the medical, scientific and industrial challenges of the progresses of Minimally Invasive Surgery. We propose an overview of these challenges.
Methods: Models play a major role in representing the relevant knowledge to plan and realize complex medical and surgical interventions. We analyze the three basic steps of Perception, Decision and Action, and illustrate by some instances how models may be integrated in these steps.
Results: We propose a selection of the results obtained in Model Driven Therapy. These results illustrate the issues of Perception (models allow accurate reconstruction of 3D objects from a limited set of X-ray projections), Decision (models allow to take into account elastic and dynamic characteristics of muscles), and Action (models allow to design innovative navigational and robotics aids to the realization of complex interventions). Likewise, models play a major role in the process of surgeon’s education, which leads to the concept of Virtual Orthopedic University.
Conclusions: Model Driven Therapy emerges as the way to perform optimal medical and surgical interventions, providing physicians and surgeons with the possibility to augment their capacities of sensing multi-modal information, of combining them to define optimal strategies, and of performing accurate and safe actions.
-
References
- 1 MI3 http://mi3.vitamib.com
- 2 Desbat L. Interpolation of lacking data in tomography. In SampTA 2001. IEEE (ISBN 0-7803-9813-0), 2001: 123-8.
- 3 Fleute M, Lavallee S. Building a Complete Surface Model from Sparse Data Using Statistical Shape Models: Application to Computer Assisted Knee Surgery. In: Wells WM, Colchester A, Delp S. eds. Medical Image Computing and Computer-Assisted Intervention-MICCAI’98: Springer Verlag; 1998: 880-7.
- 4 Fleute M. Incorporating a statistically based shape model into a system for computer-assisted anterior cruciate ligament surgery. Medical Image Analysis 1999; 3 (Suppl. 03) 209-22.
- 5 Couteau B, Payan Y, Lavallée S. The Mesh-Matching algorithm: an automatic 3D mesh generator for finite element structures. Journal of Biomechanics vol. 33/8 1005-9.
- 6 Chabanas M, Payan Y. A 3D Finite Element model of the face for simulation in plastic and maxillo-facial surgery. In Medical Image Computing and Computer-Assisted Intervention -MICCAI’2000: . Springer Verlag; volume 1935 of LNCS 2000: 1068-75.
- 7 Dubois E, Nigay L, Troccaz J, Carrat L, Chavanon O. A methodological tool for computer-assisted surgery interface design: its application to computer-assisted pericardial puncture. In Westwood JD. ed Medecine Meets Virtual Reality . IOS Press; 2001: 136-9.
- 8 Chavanon O, Barbe C, Troccaz J, Carrat L, Ribuot C, Blin D. Accurate guidance for percutaneous access to a specific target in soft tissues. Journal of Laparoendoscopic and Advanced Surgical techniques. Vol 9, No 3 1999: 259-66.
- 9 Troccaz J, Peshkin M, Davies B. Guiding systems for Computer-assisted Surgery (CAS) : introducing synergistic devices and discussing the different approaches. Medical Image Analysis 2 (Suppl. 02) 1998; 101-19.
- 10 IGOS. www-sante.ujf-grenoble.fr/SANTE/IGOS/Final.htm
- 11 Merloz P, Tonetti J, Cinquin P, Lavallée S, Troccaz J, Pittet L. Computer-assisted spine surgery. Computer-Aided Surgery 3 1998; 297-305.
- 12 Carrat L, Tonetti J, Lavallee S, Merloz P, Pittet L, Chirossel JP. Treatment of pelvic ring fracture : Percutaneous computer assisted iliosacral screwing. In: Wells WM, Colchester A, Delp S. eds. Medical Image Computing and Computer-Assisted Intervention-MICCAI’98: . Springer Verlag; 1998: 84-91.
- 13 Julliard R, Lavallee S, Dessenne V. Computer Assisted Anterior Cruciate Ligament Reconstruction. Clinical Orthopaedics and Related Research 354 1998; 57-64.
- 14 Fleute M, Lavallee S. Building a Complete Surface Model from Sparse Data Using Statistical Shape Models: Application to Computer Assisted Knee Surgery. In: Wells WM, Colchester A, Delp S. eds. Medical Image Computing and Computer-Assisted Intervention-MICCAI’98: . Springer Verlag; 1998: 880-7.
- 00 Bettega G, Payan Y, Mollard B, Boyer A, Raphael B, Lavallee S. A simulator for maxillo-facial surgery integrating cephalometry and orthodontia. Journal of Computer Aided Surgery 5 (Suppl. 03) 2000; 156-65.
- 16 VOEU. http://voeu.vitamib.com