An accuracy assessment of SlicerAutoscoper M - software for tracking skeletal structures in multi-plane videoradiography datasets

• Published in: Journal of biomechanics Vol. 189; p. 112810
• Main Authors: Morton, Amy M, Holtgrewe, John D, Beveridge, Jillian E, Yoon, Dajung, Rainbow, Michael J, Lopez, Cesar, Zhao, Kristin D, Paniagua, Beatriz, Fillion-Robin, Jean-Christophe, Lombardi, Anthony J, Moore, Douglas C, Crisco, Joseph J
• Format: Journal Article
• Language: English
• Published: United States Elsevier Limited 07.09.2025
• Subjects: Accuracy; Agreements; Ankle; Bias; Biomechanical Phenomena; Bones; Calibration; Datasets; Human subjects; Humans; Humerus; Joints (anatomy); Joints - diagnostic imaging; Joints - physiology; Kinematics; Knee; Musculoskeletal diseases; Open source software; Pitch (inclination); Product development; Public domain; R&D; Research & development; Rolling motion; Scapula; Shoulder; Software; Tracking; Translations; Upgrading; Video Recording - methods; Wrist; Autoscoper; 3DSlicer; Videoradiography; Skeletal Tracking; Kinematics

Tracking skeletal joint kinematics in vivo with biplane videoradiography (BVR) can rigorously address a range of important questions in musculoskeletal research. Here we report on SlicerAutoscoper (SAM), an upgrade of the markerless tracking software (Autoscoper) and its migration into the establish...