English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6487/11649
Visitors : 28615710      Online Users : 374
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11812

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
Issue Date: 2012-07-02T02:10:24Z
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

Files in This Item:

File SizeFormat

All items in NCUEIR are protected by copyright, with all rights reserved.


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback