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Proceedings Paper

Novel digital subtraction CT angiography based on 3D registration and refinement
Author(s): Sung Min Kwon; Yong Sun Kim; Tae-Sung Kim; Dong Ik Kim M.D.; Jong Beom Ra
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Paper Abstract

Angiographic investigation using high-resolution CT images has become a useful tool for the sensitive examination of vascular diseases. However, CT angiography (CTA) does not allow a straightforward understanding of vascular structure, since some of interesting parts can be located near the high intensity skull base region. In this paper, a novel method for fast and automatic 3D digital subtraction CT angiography (DS-CTA) is presented to generate artifact-free angiograms. The proposed method consists of 3D registration to align a CT image to the CTA image, and subtraction and refinement to extract blood vessels. For efficient and accurate 3D registration, an NMI (normalized mutual information) based algorithm is adopted and its fast version is developed by introducing a new measure. The speed-up ratio of the proposed fast registration algorithm is about 1.74~3.01 compared with the conventional registration method. And to improve the subtracted image quality in the second step, a novel 3D refinement algorithm is suggested to effectively remove unwanted residuals. Experimental results of seven clinical CT/CTA head datasets demonstrate that cerebral vessels are well extracted from CTA images with almost no loss. The typical processing time is about 3~9 minutes depending on the image size in a PC with a 2.4GHz CPU.

Paper Details

Date Published: 12 May 2004
PDF: 10 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.536101
Show Author Affiliations
Sung Min Kwon, Korea Advanced Institute of Science and Technology (South Korea)
Yong Sun Kim, Korea Advanced Institute of Science and Technology (South Korea)
Tae-Sung Kim, Yonsei Univ. College of Medicine (South Korea)
Dong Ik Kim M.D., Yonsei Univ. College of Medicine (South Korea)
Jong Beom Ra, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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