Segmentation and tracking of coronary artery using graph-cut in CT angiographic

被引：0

作者：

Li, Meng ^{[1
]}

He, Huiguang ^{[1
]}

Yi, Jianhua ^{[1
]}

Lv, Bin ^{[1
]}

Zhao, Mingchang ^{[2
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China

[2] Fudan Univ, Shanghai, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOLS 1-4 | 2009年

关键词：

ENERGY MINIMIZATION; VESSELS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a semiautomatic method to detect the coronary arteries in X-ray CT angiography (CTA) images with simple user interaction. The algorithm is started with performing modified Otsu threshold method and clustering of superpixel to reconstruct the image. The interactive graph cut segmentation and an improved top-hat filter is used to extract the coronary artery in series of two dimension (2D) slice images. Finally, coronary artery tree is tracked with a method based on region average shift. The accuracy of coronary artery extraction has been validated in 16 CTA datasets. The results demonstrate this algorithm has satisfactory speed and efficiency. With more user interaction, the method can be easily extended to the arteries that are not detected automatically.

引用

页码：359 / +

页数：2

共 15 条

[1] New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets [J].

Boskamp, T ;

Rinck, D ;

Link, F ;

Kümmerlen, B ;

Stamm, G ;

Mildenberger, P .

RADIOGRAPHICS, 2004, 24 (01) :287-297

[2] Fast approximate energy minimization via graph cuts [J].

Boykov, Y ;

Veksler, O ;

Zabih, R .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (11) :1222-1239

[3] An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision [J].

Boykov, Y ;

Kolmogorov, V .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2004, 26 (09) :1124-1137

[4] Efficient graph-based image segmentation [J].

Felzenszwalb, PF ;

Huttenlocher, DP .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 59 (02) :167-181

[5]

Ford L. R., 1956, Canadian Journal of Mathematics, V8, P399, DOI 10.4153/CJM-1956-045-5

[6]

GERMAN S, 1984, IEEE T PATTERN ANAL, V6, P721

[7] One-click coronary tree segmentation in CT angiographic images [J].

Hennemuth, A ;

Boskamp, T ;

Fritz, D ;

Kühnel, C ;

Bock, S ;

Rinck, D ;

Scheuering, M ;

Peitgen, HO .

CARS 2005: Computer Assisted Radiology and Surgery, 2005, 1281 :317-321

[8] Lazy snapping [J].

Li, Y ;

Sun, J ;

Tang, CK ;

Shum, IY .

ACM TRANSACTIONS ON GRAPHICS, 2004, 23 (03) :303-308

[9] Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction [J].

Mendonca, Ana Maria ;

Campilho, Aurelio .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (09) :1200-1213

[10]

METZ C, 2007, SEMIAUTOMATIC CORONA, P856

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