National Changhua University of Education Institutional Repository : Item 987654321/11812
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题名: An automatic detection algorithm of MR images for knee pain problem
作者: Chung, Yi-Nung;Chou, Cheng-Nan;Tan, Haw-Chang;Ho, Wen-Hsin
贡献者: 電機工程學系
关键词: Automatic diagnosis based kinematic patellar tracking;Edge-constrained wavelet enhancement
日期: 2007-11
上传时间: 2012-07-02T02:10:24Z
出版者: IEEE
摘要: Anterior knee pain (AKP) is a common pathological condition. The problem causing knee pain is the abnormal patellar tracking mechanism. Kinematic approaches using MR images have been regarded of more accuracy in knee pain detection than stationary approaches. This paper proposes an automatic diagnosis based kinematic patellar tracking for AKP detection. The kinematic patellar tracking uses a hybrid approach for extracting knee organs, where an edge-constrained wavelet enhancement followed by moment preserving segmentation is employed for conquering the soft tissue adhesion for extracting the femur and tibia from axial MR images, and a sliding window based moment preserving for resolving the segmentation difficulty associated with intensity non-uniformity in saggital MR images. The experiment results demonstrate the prominent of the calculated inclination angles in detecting AKP.
關聯: IEEE Region 10 Conference, TENCON 2007, Taipei, October 30-November 2, 2007: 1-4
显示于类别:[電機工程學系] 會議論文

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