Automatic tracking of healthy joint kinematics from stereo-radiography sequences

Kinematic tracking of healthy joints in radiography sequences is frequently performed by maximizing similarities between computed perspective projections of 3D computer models and corresponding objects’ appearances in radiographic images. Significant human effort associated with manual tracking pres...

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Veröffentlicht in:	Computers in biology and medicine 2021-12, Vol.139, p.104945, Article 104945
Hauptverfasser:	Burton, William S., Myers, Casey A., Jensen, Andrew, Hamilton, Landon, Shelburne, Kevin B., Banks, Scott A., Rullkoetter, Paul J.
Format:	Artikel
Sprache:	eng
Schlagworte:	3-D graphics Artificial neural networks Automation Biomechanical Phenomena Biomechanics Bones Cameras Deep learning Estimates Geometry Human motion Humans Imaging, Three-Dimensional Kinematics Knee Knee Joint - diagnostic imaging Mathematical models Medical imaging Neural networks Neural Networks, Computer Optimization Optimization algorithms Predictions Radiography Registration Research methods Semantics Software Three dimensional models Tracking
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