Computerized tomographic angiography image segmentation for 3D-volume reconstruction

Yun Liang; Robert A. Kruger

doi:10.1117/12.179256

8 July 1994 Computerized tomographic angiography image segmentation for 3D-volume reconstruction

Yun Liang, Robert A. Kruger

Proceedings Volume 2299, Mathematical Methods in Medical Imaging III; (1994) https://doi.org/10.1117/12.179256
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

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.

Citation Download Citation

Yun Liang and Robert A. Kruger "Computerized tomographic angiography image segmentation for 3D-volume reconstruction", Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); https://doi.org/10.1117/12.179256

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