TY - JOUR
T1 - Knee pain detection technology using magnetic resonance images
AU - Lu, Tun Chang
AU - Liu, Wan Chun
AU - Hsu, Chao Hsing
AU - Lu, Chung Lain
AU - Chung, Yi-Nung
PY - 2011/12/1
Y1 - 2011/12/1
N2 - An automatic diagnosis for patellar tracking mechanism of knees is devel- oped in this paper. Because the computer has the property of accuracy, high speed, and low cost, the developed method of research for dynamic automatic diagnosis substitutes for the conventional static diagnosis. In this approach, an effective algorithm for fully automatic femur and patella segmentation for magnetic resonance images (MRI) through integrating edge detection and thresholding algorithms. In the experiment, each volunteer has eight different angles of knees image in axial and sagittal direction respectively. To measure kinematic parameters, three inclination angles are computed from eight land- marks 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.
AB - An automatic diagnosis for patellar tracking mechanism of knees is devel- oped in this paper. Because the computer has the property of accuracy, high speed, and low cost, the developed method of research for dynamic automatic diagnosis substitutes for the conventional static diagnosis. In this approach, an effective algorithm for fully automatic femur and patella segmentation for magnetic resonance images (MRI) through integrating edge detection and thresholding algorithms. In the experiment, each volunteer has eight different angles of knees image in axial and sagittal direction respectively. To measure kinematic parameters, three inclination angles are computed from eight land- marks 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.
UR - http://www.scopus.com/inward/record.url?scp=83455220874&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=83455220874&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:83455220874
VL - 2
SP - 1427
EP - 1432
JO - ICIC Express Letters, Part B: Applications
JF - ICIC Express Letters, Part B: Applications
SN - 2185-2766
IS - 6
ER -