The Method of Evaluation Artery Diameter from Ultrasound Video
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The Method of Evaluation Artery Diameter from Ultrasound Video

Authors: U. Rubins, Z. Marcinkevics, K.Volceka

Abstract:

The cardiovascular system has become the most important subject of clinical research, particularly measurement of arterial blood flow. Therefore correct determination of arterial diameter is crucial. We propose a novel, semi-automatic method for artery lumen detection. The method is based on Gaussian probability function. Usability of our proposed method was assessed by analyzing ultrasound B-mode CFA video sequences acquired from eleven healthy volunteers. The correlation coefficient between the manual and semi-automatic measurement of arterial diameter was 0.996. Our proposed method for detecting artery boundary is novel and accurate enough for the measurement of artery diameter.

Keywords: Ultrasound, boundary detection, artery diameter, curve fitting.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1055901

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[1] RC. Chan, J. Kaufhold, LC. Hemphill, RS. Lees, WC. Karl. "Anisotropic Edge-Preserving Smoothing in Carotid B-mode Ultrasound for Improved Segmentation and Intima-Meida Thickness (IMT) Measurement," Computers in Cardiology, vol 27, pp 37-40, 2000
[2] M. Cinthio, T. Jansson, A. Eriksson, W. Persson Hans, K. A. Lindstr├©m "Robust and Fast Algorithm for Automatic Arterial Lumen Diameter Measuremen with Ultrasound." Dissertation for the degree of Ph.D., Lund University, 2004
[3] T. Gustavsson, Q. Liang, I. Wendelhag, J. Wikstrand. "A Dynamic Programming Procedure for Automated Ultrasonic Measurement of the Carotid Artery." Computers in Cardiology, 1994
[4] Q. Liang, I. Wendelhag, J. Wikstrand, T. Gustavsson. "A Multiscale Dynamic Programming Procedure for Boundary Detection in Ultrasonic Artery Images." IEEE Transactions on medical imaging, vol 19, no 2, 2000
[5] Z .Luo, Y. Wang, W. Wang. "Estimating Coronary Artery Lumen Area With Optimization-Based Contour Detection." IEEE Transactions on Medical Imaging, vol 22, no 4, 2003
[6] SI. Rabben, "GcMat toolbox for tracking and detecting arterial walls." Personal communication. 2005
[7] G. Bartoli, G. Menegaz, M. Lisi, G. Di Stolfo, S. Dragoni, and T. Gori. "Model-Based Analysis of Flow-Mediated Dilation and Intima-Media Thickness," Int J Biomed Imaging. 2008; 2008: 738545.