Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
23
Session ID : 10A-E-1
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10A-E-1 Knee Pain Detection Technology Based on MR Images(Room E International session)
Chung-Lain LuChao-Hsing HsuWan-Chun LiuYi-Nung ChungChih-Min Lin
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Abstract
An automatic diagnosis for patellar tracking mechanism of knees is developed in this paper. Because computer has the property of accuracy, high speed, and low cost, the developed method of research for dynamic automatic diagnosis substitute for the conventional static diagnosis. In the experiment, each volunteer have eight different angles of knees image in axial and sagittal direction respectively. To measure kinematic parameters, three inclination angles are computed from eight landmarks identified from the patellar and femur in the axial MR images. This research could help doctor to diagnose function of patella in the clinical experiment.
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© 2010 Biomedical Fuzzy Systems Association
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