The Application of ICA to the X-Ray Digital Subtraction Angiography

Authors:
Songyuan Tang;Yongtian Wang;Yen-Wei Chen
Affiliations:
Department of Opto-electronic Engineering, Beijing Institute of Technology, 100081, Beijing, P.R. China and Colleges of Information Science and Engineering, Ritsumeikan University, Nojihigashi, Ku ...;Department of Opto-electronic Engineering, Beijing Institute of Technology, 100081, Beijing, P.R. China;Colleges of Information Science and Engineering, Ritsumeikan University, Nojihigashi, Kusatsu, Shiga, Japan
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Year:
2007

Citing 3
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Abstract

The traditional enhancement of X-ray digital subtraction angiography (DSA) is to subtract the mask image and living image so as to remove the background such as ribs, spine, cathers, organs and etc, and obtain the enhanced vessel trees. However, the DSA have serious motion artifacts, poor local contrast and noises, when subtraction technique is used, some tiny vessels are broken, and even disappeared when visualized. To attack the problem, we use independent component analysis instead of subtraction technique. This technique is proved to be very efficient to enhance vessels. Experimental results of simulated data and several clinical data show that the proposed method is robust and can obtain good vessel trees.