DocumentCode
678885
Title
An Automated Analysis for Anatomical Structure of Distal Femur from MDCT Image by Contour Tracing
Author
Uozumi, Yosuke ; Nagamune, Kouki ; Araki, Daisuke ; Hoshino, Yuichi ; Matsushita, Teruo ; Kuroda, Rihito ; Kurosaka, Masahiro
Author_Institution
Grad. Sch. of Eng., Univ. of Fukui, Fukui, Japan
fYear
2013
fDate
2-5 Dec. 2013
Firstpage
842
Lastpage
847
Abstract
Comparison of anatomical or functional parameters is common theme in the evaluation of unilateral pathologies of the human knee joint, although the degree of bilateral symmetry is unknown. Currently, the evaluation is performed manually. Therefore, diversity of the evaluation happens due to the subjective judgment. To reduce the diversity, we propose an automated analysis method for anatomical knee structure from multi-detector row computerized tomography (MDCT) image. The experiment employed six different knees. Then, symmetry data were made from the six raw data by using mirroring processing. The six raw data and six mirroring data were evaluated by the proposed and manual method. The results of the proposed method indicated that there was no difference between the raw and mirroring data, while the results of the manual method clarified that there is almost two mm difference between them. It is concluded that the proposed method could identify the anatomical structure with no difference between bilateral knees.
Keywords
computerised tomography; edge detection; medical image processing; MDCT image; anatomical knee structure; automated analysis method; bilateral knees; contour tracing; distal femur; mirroring data; mirroring processing; multidetector row computerized tomography image; raw data; Anatomical structure; Bones; Joints; Manuals; Mirrors; Shape; Vectors; MDCT image; anatomical structure; image analysis; keen;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location
Kyoto
Type
conf
DOI
10.1109/SITIS.2013.137
Filename
6727287
Link To Document