Two-Steps Coronary Artery Segmentation Algorithm Based on Improved Level Set Model in Combination with Weighted Shape-Prior Constraints

Due to the complex topological structure of the coronary artery and the uneven distribution of the contrast agent, the angiography images are inevitably blurred and has low contrast, which causes great difficulty in process of segmentation. For this problem, a two-steps segmentation algorithm based...

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Veröffentlicht in:	Journal of medical systems Jg. 43; H. 7; S. 210 - 10
Hauptverfasser:	Ge, Shang, Shi, Zhaofei, Peng, Guangming, Zhu, Zhaohuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2019 Springer Nature B.V
Schlagworte:	Algorithms Angiography Blood vessels Constraints Contrast agents Coronary artery Coronary vessels Coronary Vessels - diagnostic imaging Coronary Vessels - pathology Distributed Analytics and Deep Learning in Health Care Eigenvalues Feature extraction Health Informatics Health Sciences Hessian matrices Humans Image & Signal Processing Image contrast Image processing Image Processing, Computer-Assisted - methods Image segmentation Mathematical analysis Matrix algebra Matrix methods Medicine Medicine & Public Health Regularization Response functions Statistics for Life Sciences Tomography, X-Ray Computed - methods Veins & arteries Shape-prior constraint Segmentation Level set Coronary artery Two-steps segmentation Active contour model Energy fitting
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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