Automatic quantification of spinal curvature in scoliotic radiograph using image processing.
Choosing the most suitable treatment for the scoliosis relies heavily on accurate and reproducible spinal curvature measurement from radiographs. Our objective is to reduce the variability in spinal curvature measurement by reducing the user intervention and bias. In order to determine the reliability of the spinal curvature measurement as it is in the clinical measurement of scoliosis a methodological survey has been carried out that concludes with inter and intra observer error variation. The proposed method list out horizontal inclination of all the vertebrae's in terms of slopes using active contour models and morphological operators. This facilitates the radiologist to decide end vertebrae and hence inter/intra observer variation is completely eliminated. Tables 1 and 2 shows the observer error variation between manual and proposed methods in terms of mean and standard deviation.
Department of Electronics and Communication Engineering, Manipal University, Manipal, India. anitha.h@manipal.edu
Anitha
A
H
G K
GK
Prabhu
D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000592:standards*; D011859:Radiography; D012600:Scoliosis / Q000000981:diagnostic imaging*; D013121:Spinal Curvatures / Q000000981:diagnostic imaging* / Q000503:physiopathology
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