DocumentCode
3320539
Title
The Contour Detection and Extraction for Medical Images of Knee Joint
Author
Zhang, Xushu ; Guo, Yuan ; Du, Peng
Author_Institution
Coll. of Sci., Taiyuan Univ. of Technol., Taiyuan, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
In clinical medicine, CT or MRI scanning is often carried out on the parts of the human body in order to diagnose and treat diseases. When it is needed to establish a model of different parts of human body for biomechanical analysis, the geometrical data to establish model could be obtained through the scanned images. In the paper, the contour detection and extraction for medical CT images of knee joint are implemented through the designed Visual Basic 6.0 (VB) program. The contour detective algorithms include: first-order differential operators, such as Roberts Cross operator and Sobel operator; second-order differential operator, such as Laplacian and Canny operators. And the chain code method is used for the contour extraction. Through this designed program it provides the foundation for independent development of medical image processing program and for the building from medical images to the geometric model of human body.
Keywords
Laplace equations; bone; computerised tomography; differential equations; diseases; feature extraction; medical image processing; orthopaedics; Canny operator; Laplacian operator; Roberts cross operator; Sobel operator; Visual Basic 6.0 program; chain code method; contour detection; contour detective algorithms; contour extraction; diseases; first-order differential operators; knee joint; medical CT images; medical image processing program; second-order differential operator; Biomedical imaging; Computed tomography; Image edge detection; Joints; Knee; Laplace equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780199
Filename
5780199
Link To Document