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29 March 2013 Improved cardiac motion detection from ultrasound images using TDIOF: a combined B-mode/ tissue Doppler approach
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Abstract
Quantitative motion analysis of echocardiographic images helps clinicians with the diagnosis and therapy of patients suffering from cardiac disease. Quantitative analysis is usually based on TDI (Tissue Doppler Imaging) or speckle tracking. These methods are based on two independent techniques – the Doppler Effect and image registration, respectively. In order to increase the accuracy of the speckle tracking technique and cope with the angle dependency of TDI, herein, a combined approach dubbed TDIOF (Tissue Doppler Imaging Optical Flow) is proposed. TDIOF is formulated based on the combination of B-mode and Doppler energy terms in an optical flow framework and minimized using algebraic equations. In this paper, we report on validations with simulated, physical cardiac phantom, and in-vivo patient data. It is shown that the additional Doppler term is able to increase the accuracy of speckle tracking, the basis for several commercially available echocardiography analysis techniques.
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Vahid Tavakoli, Marcus F. Stoddard, and Amir A. Amini "Improved cardiac motion detection from ultrasound images using TDIOF: a combined B-mode/ tissue Doppler approach", Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 86720C (29 March 2013); https://doi.org/10.1117/12.2008781
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