29 March 2013 Extracting cardiac myofiber orientations from high frequency ultrasound images
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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.
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Xulei Qin, Xulei Qin, Zhibin Cong, Zhibin Cong, Rong Jiang, Rong Jiang, Ming Shen, Ming Shen, Mary B. Wagner, Mary B. Wagner, Paul Kirshbom, Paul Kirshbom, Baowei Fei, Baowei Fei, } "Extracting cardiac myofiber orientations from high frequency ultrasound images", Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 867507 (29 March 2013); doi: 10.1117/12.2006494; https://doi.org/10.1117/12.2006494
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