Seminar 2008 06 05 rehabilitation and dentistry
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CISST ERC Seminar
Development of a real-time motion analysis method and its clinical applications for Orthopedics, rehabilitation and Dentistry
Date: Thursday, June 5, 2008
Time: 11:00am
Place: CSEB B17
Speaker: Yoshito Otake
Title: Development of a real-time motion analysis method and its clinical applications for Orthopedics, rehabilitation and Dentistry
Presentation: PDF, not yet uploaded
Abstract
Motion analysis is one of the promising application fields of medical virtual reality. It elucidates human biomechanics, contributes to patient-specific surgical planning, and also provides insight on postoperative rehabilitation in surgeries that change the alignment of skeletal structure, such as that found in orthopedic or maxillofacial surgery. In this seminar, I'd like to talk about an overview of the development of a real-time motion analysis method and its clinical applications.
In this approach, a musculoskeletal model was created from CT or a MRI data set; the subject's motion data was obtained using a 3D position tracking sensor and the subject-specific musculoskeletal movements were analyzed.
One of the clinical applications of this approach was intended for patients who had received total hip arthroplasty (THA). In the THA surgery, preventing postoperative dislocation is an imperative. But currently the postoperative guidance provided by clinicians is almost uniform for all patients. Accordingly, for some patients, the guidance carried out by current clinicians is at times too restrictive, taking away the patient's freedom to some extent. Nevertheless some patients are able to perform a variety of movements while avoiding dislocation.
We came to the conclusion that by elucidating on the possible movement and providing the appropriate subsequent guidance for each, patients would be able to move more freely and their quality of life would greatly increase. Also the patient-specific data that we gained from this would contribute to surgical planning for the revision surgery. This data could also help other patients from the aspect of selecting the best-fitted implant or estimating the optimal implant alignment.
In order to achieve this insight on movement, a 3D surface model of the patient's hip joint was constructed and the joint motion was simultaneously simulated in real-time with the patient's movement. Clinicians and patients could then discuss the possible daily activities based on this quantitative simulation. In this system, we developed a novel approach for improving the accuracy of the estimate for the artificial joint alignment from postoperative CT data by registering a CAD model, via a surface based registration algorithm (ICP). Also the accuracy of the motion capture with body surface markers was validated by an innovative approach using open-MRI.
In addition, as an upshot of this research, we developed an intra-operative measurement system for pressure distribution of the hip joint surface. Besides, we developed a prototype of the physical experiment device for evaluating the patient-specific joint condition. In order to achieve it, we integrated rapid prototyping technique and 6DOF robotic arm.
Furthermore, I'd like to introduce a quantitative motion analysis for rehabilitation medicine and jaw motion analysis. In our opinion, in the near future, the system would be applicable to develop surgical planning systems for maxillofacial surgery. This would consider concerns of jaw function such as patient-specific dental occlusion, which unlike current way that mainly considers only the morphological correction of the face.
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