Subject-specific computational models of the musculoskeletal system have tremendous potential for clinical application. However, generating these models is time-consuming, costly, and requires high levels of expertise. Furthermore, the geometry of computational models used to investigate joint mechanics often do not map well to the rigid body models to estimate muscle forces. To address these issues, we have developed a Python-based, open source software platform called the Musculoskeletal Atlas Project (MAP). Our aim is to provide the biomechanics community with a tool that rapidly generates subject-specific models for computational modelling and also resolves some common issues encountered when scaling models.
In this presentation, we will discuss the challenges of generating and scaling subject-specific models, including registering experimental data, accurately capturing bone geometry, and dealing with subject-specific joints and muscle lines of action. We will describe methods implemented in MAP to solve these issues, including the use of Shape Models derived from large image datasets to constrain the scaling of bone geometry to match motion capture and/or medical imaging data. We will present some example workflows within MAP to scale a lower limb model and demonstrate how MAP’s simple plug-in architecture facilitates customisation and community engagement.
Participation is free, but you must register in advance. Attendance is limited to 100. We also ask that you join the webinar 5 minutes early to orient yourself to the webinar interface.
Visit our website for more information and registration. The website also includes links to recordings of past webinars:http://opensim.stanford.edu/support/webinars.html.The OpenSim Webinar Series is funded by the NIH National Center for Simulation in Rehabilitation Research (NCSRR). Find out more about the NCSRR and the webinar series by visiting our website http://opensim.stanford.edu.
DETAILS
Title: Patient-Specific Modeling-Building and Scaling with the Musucloskeletal Atlas Project and Statistical Shape Modeling
Speakers: Thor Besier and Ju Zhang, University of Auckland, New Zealand
Time: Wednesday, February 23, 2016 at 2:00 p.m. Pacific Standard Time
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A recording of the webinar is available, as are other links to learn more about the MAP project.