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Proceedings Paper

Extracting cardiac myofiber orientations from high frequency ultrasound images
Author(s): Xulei Qin; Zhibin Cong; Rong Jiang; Ming Shen; Mary B. Wagner; Paul Kirshbom; Baowei Fei
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Paper Abstract

Cardiac myofiber plays an important role in stress mechanism during heart beating periods. The orientation of myofibers decides the effects of the stress distribution and the whole heart deformation. It is important to image and quantitatively extract these orientations for understanding the cardiac physiological and pathological mechanism and for diagnosis of chronic diseases. Ultrasound has been wildly used in cardiac diagnosis because of its ability of performing dynamic and noninvasive imaging and because of its low cost. An extraction method is proposed to automatically detect the cardiac myofiber orientations from high frequency ultrasound images. First, heart walls containing myofibers are imaged by B-mode high frequency (<20 MHz) ultrasound imaging. Second, myofiber orientations are extracted from ultrasound images using the proposed method that combines a nonlinear anisotropic diffusion filter, Canny edge detector, Hough transform, and K-means clustering. This method is validated by the results of ultrasound data from phantoms and pig hearts.

Paper Details

Date Published: 29 March 2013
PDF: 8 pages
Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 867507 (29 March 2013); doi: 10.1117/12.2006494
Show Author Affiliations
Xulei Qin, Emory Univ. (United States)
Zhibin Cong, Emory Univ. (United States)
Rong Jiang, Emory Univ. (United States)
Ming Shen, Emory Univ. (United States)
Mary B. Wagner, Emory Univ. (United States)
Paul Kirshbom, Emory Univ. (United States)
Baowei Fei, Emory Univ. (United States)
Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8675:
Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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