Autoscoper is a 2D to 3D image registration software developed at Brown University in 2013 as a tool to investigate intra-articular joint motion during dynamic tasks. 3D position and orientation of bones and implants can be resolved in Autoscoper using volumetric density (CT) data and multi-view 2D radiographs acquired at high-speed (videoradiographs; VRG).
This is Autoscoper v2.7 maintained by Bardiya Akhbari
. Autoscoper is a 2D-to-3D registration software that gives the users the ability to track bones or implants in the videoradiographs. This version supports the particle swarm optimization algorithm and active feedback on normalized cross-correlation to improve the accuracy and speed of registration. Earlier version (v 2.0) was programmed by Dr. Ben Knoerlein
. Version 2 combined the sources of both the CUDA and OpenCL version and allows usage of either one. Version 2 has improved processing, several bug fixes, and new functionality, e.g. multi bone, batch processing, when compared to the original versions. The first version of this software was developed by Andy Loomis (original CUDA version) and Mark Howison (OpenCL reimplementation).
Please cite this article when using the latest version of Autoscoper:
Akhbari, B., Morton, A. M., Moore, D. C., Weiss, A-P. C., Wolfe, W. S., Crisco, J. J., 2019. Accuracy of Biplane Videoradiography for Quantifying Dynamic Wrist Kinematics, Journal of Biomechanics.
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