Introduction to an Open-Source Approach to Bi-Plane Videoradiography and Multi-Modal Kinematic Tracking.
We are developing an extensible, open-source, software program for image-based skeletal and implant motion tracking with NIH support that will compute six degree-of-freedom kinematics from videoradiography, 3DCT, or 4DCT image datasets.
The goal of this symposium is to share our progress on the development and testing and, importantly, get critical feedback from a wide range of potential users as progress towards the grant aims progresses. This symposium will provide a bridge between basic science, kinesiology, engineering, and clinical domains; it is an educational resource and encourages discussion and collaboration among ASB attendees.
SlicerAutoscoperM Leadership Team
- Trey Crisco, PhD Brown University
- Jillian Beveridge, PhD Brown University
- Beatriz Paniagua, PhD Kitware
- Michael Rainbow, PhD Queen’s University
- Kristin Zhao, PhD Mayo Clinic
|4:00 PM||Trey Crisco, Ph.D.||An Overview of SlicerAutoscoperM Development Plan and the Academic/Kitware partnership|
|4:05 PM||Trey Crisco, Ph.D.||In Vivo Arthrokinematics of the Wrist and Thumb using BVR and Sequential 3D CT Imaging - And The Need for SlicerAutoscoperM|
|4:10 PM||Jillian Beveridge, Ph.D.||The Role of Academic Partners in SlicerAutoscoperM Development: Data Sets, Interface Refinement, and Plug-ins|
|4:20 PM||Cesar Lopez||Research experience acquiring and analyzing dynamic images using BVR and 4DCT in a clinical environment|
|4:35 PM||Beatriz Paniagua, Ph.D.||3-D Slicer Image Computing Ecosystem: Integration of SlicerAutoscoperM|
|4:40 PM||Anthony Lombardi and Beatriz Paniagua, Ph.D.||SlicerAutoscoperM Demonstration|
|5:00 PM||Open Discussion|
|5:25 PM||Closing Remarks & Questionnaire|
Notes on the demonstration:
- The demonstration was recorded using SlicerAutoscoperM for Slicer 5.3.0-2023-08-09.
- Some details, specifically related to the pre-processing module, are subject to change. Changes will be reflected in the documentation.
Learn how to effectively utilize Slicer and the AutoscoperM extension. The demonstration will cover the following steps:
- Installing Slicer and AutoscoperM
- Navigating the Slicer User Interface
- Downloading Autoscoper’s Sample Data
- Launching Autoscoper & Loading Data
- Navigating Autoscoper User Interface
- Tracking a Skeletal Structure
- Evaluating Tracking Results
- Loading Dicom Data Into Slicer
- Generating Partial Volumes
We value your feedback on the SlicerAutoscoperM software. Your insights will aid us in enhancing the software’s features and user experience. Please take a moment to fill out our Questionnaire.
We also hope you will join our development, evaluation, and user community!