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Proceedings Paper

A new radial strain and strain rate estimation method using autocorrelation for carotid artery
Author(s): Jihui Ye; Hoonmin Kim; Jongho Park; Sunmi Yeo; Hwan Shim; Hyungjoon Lim; Yangmo Yoo
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Paper Abstract

Atherosclerosis is a leading cause of cardiovascular disease. The early diagnosis of atherosclerosis is of clinical interest since it can prevent any adverse effects of atherosclerotic vascular diseases. In this paper, a new carotid artery radial strain estimation method based on autocorrelation is presented. In the proposed method, the strain is first estimated by the autocorrelation of two complex signals from the consecutive frames. Then, the angular phase from autocorrelation is converted to strain and strain rate and they are analyzed over time. In addition, a 2D strain image over region of interest in a carotid artery can be displayed. To evaluate the feasibility of the proposed radial strain estimation method, radiofrequency (RF) data of 408 frames in the carotid artery of a volunteer were acquired by a commercial ultrasound system equipped with a research package (V10, Samsung Medison, Korea) by using a L5-13IS linear array transducer. From in vivo carotid artery data, the mean strain estimate was -0.1372 while its minimum and maximum values were -2.961 and 0.909, respectively. Moreover, the overall strain estimates are highly correlated with the reconstructed M-mode trace. Similar results were obtained from the estimation of the strain rate change over time. These results indicate that the proposed carotid artery radial strain estimation method is useful for assessing the arterial wall’s stiffness noninvasively without increasing the computational complexity.

Paper Details

Date Published: 20 March 2014
PDF: 6 pages
Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 904015 (20 March 2014); doi: 10.1117/12.2042676
Show Author Affiliations
Jihui Ye, Sogang Univ. (Korea, Republic of)
Hoonmin Kim, Sogang Univ. (Korea, Republic of)
Jongho Park, Sogang Univ. (Korea, Republic of)
Sunmi Yeo, Sogang Univ. (Korea, Republic of)
Hwan Shim, Samsung Electronics Co., Ltd. (Korea, Republic of)
Hyungjoon Lim, Samsung Electronics Co., Ltd. (Korea, Republic of)
Yangmo Yoo, Sogang Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9040:
Medical Imaging 2014: Ultrasonic Imaging and Tomography
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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