Application of ICA to X-ray coronary digital subtraction angiography

Songyuan Tang; Yongtian Wang; Yen Wei Chen

doi:10.1016/j.neucom.2011.10.012

Application of ICA to X-ray coronary digital subtraction angiography

Songyuan Tang^*, Yongtian Wang, Yen Wei Chen

^*Corresponding author for this work

School of Optics and Photonics

Ritsumeikan University

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional subtraction technique and the segmentation method.

Original language	English
Pages (from-to)	168-172
Number of pages	5
Journal	Neurocomputing
Volume	79
DOIs	https://doi.org/10.1016/j.neucom.2011.10.012
Publication status	Published - 1 Mar 2012

Keywords

Coronary vessel extraction
ICA
X-ray DSA

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10.1016/j.neucom.2011.10.012

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title = "Application of ICA to X-ray coronary digital subtraction angiography",

abstract = "In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional subtraction technique and the segmentation method.",

keywords = "Coronary vessel extraction, ICA, X-ray DSA",

author = "Songyuan Tang and Yongtian Wang and Chen, {Yen Wei}",

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AU - Tang, Songyuan

AU - Wang, Yongtian

AU - Chen, Yen Wei

PY - 2012/3/1

Y1 - 2012/3/1

N2 - In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional subtraction technique and the segmentation method.

AB - In this paper, an effective method is developed to extract coronary vessels from X-ray digital subtraction angiography (DSA). Unlike the traditional image subtraction technique, we used the independent component analysis (ICA) to separate the coronary vessels and backgrounds. Experimental results indicate that the proposed method can achieve better performance than the traditional subtraction technique and the segmentation method.

KW - Coronary vessel extraction

KW - ICA

KW - X-ray DSA

UR - http://www.scopus.com/inward/record.url?scp=83955161094&partnerID=8YFLogxK

U2 - 10.1016/j.neucom.2011.10.012

DO - 10.1016/j.neucom.2011.10.012

M3 - Article

AN - SCOPUS:83955161094

SN - 0925-2312

VL - 79

SP - 168

EP - 172

JO - Neurocomputing

JF - Neurocomputing

ER -

Application of ICA to X-ray coronary digital subtraction angiography

Abstract

Keywords

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