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We present a novel technique for pre-processing medical images based on the feature that medical image data obtained from CT scanner are regional sampled values. The new technique first establishes mapping relation between regional sampled values and point sampled values, then adopts cubic spline curve fitting to convert the regional sampled values to more precise approximations of point sampled values...
According to the characteristic that the medical CT image data are area samplings, a new preprocessing approach for CT image is presented in this paper. It firstly constructs mapping relationship between area sampling and point sampling, then detect the image edge with Sobel operator, and divide the CT image into different regions based on human tissue feature, and finally, in each divided region,...
The function of left atrium can be accurately estimated non-invasively using 4D CT cardiac images. A self-developed image analysis program will first reconstruct 3D volume of heart. Then, one may re-sample images for accurately deleting the 4 pulmonary veins from the atrium and set the boundary. With the prior processed information, the active contour methodology and seed regional growth methodology...
This paper describes a new computer analysis method for the judgment of vertebral canal stenosis of lumbar spin by X-ray CT images, where a large number of technologies on computer image analysis and digital image processing are utilized such as image segmentation, morphology, coordinates transform, Hough transform, histogram equalization of image gray level, etc. For the boundaries extraction of...
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