8 July 1994 Computerized tomographic angiography image segmentation for 3D-volume reconstruction
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Abstract
A computerized scheme for the automated segmentation of contrast enhanced arteries is developed for computerized tomographic angiography (CTA) data. Segmentation is performed with two-dimensional (2D) images on a slice-by-slice base. Image processing techniques include gray-level thresholding, eight-point connectivity tracking, region growing, moment analysis and morphological erosion. The results enable the generation of separated three-dimensional (3D) displays of both vascular and non-vascular structures. The method has been applied to several clinical cases and has shown great promises.
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Yun Liang, Robert A. Kruger, "Computerized tomographic angiography image segmentation for 3D-volume reconstruction", Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179256; https://doi.org/10.1117/12.179256
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