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Please use this identifier to cite or link to this item:
http://ir.ncue.edu.tw/ir/handle/987654321/11812
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| Title: | An automatic detection algorithm of MR images for knee pain problem |
| Authors: | Chung, Yi-Nung;Chou, Cheng-Nan;Tan, Haw-Chang;Ho, Wen-Hsin |
| Contributors: | 電機工程學系 |
| Keywords: | Automatic diagnosis based kinematic patellar tracking;Edge-constrained wavelet enhancement |
| Date: | 2007-11
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| Issue Date: | 2012-07-02T02:10:24Z
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| Publisher: | IEEE |
| Abstract: | 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. |
| Relation: | IEEE Region 10 Conference, TENCON 2007, Taipei, October 30-November 2, 2007: 1-4 |
| Appears in Collections: | [電機工程學系] 會議論文
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