Paper
12 March 2010 3D motion and strain estimation of the heart: initial clinical findings
Daniel Barbosa, Krassimira Hristova, Dirk Loeckx, Frank Rademakers, Piet Claus, Jan D'hooge
Author Affiliations +
Abstract
The quantitative assessment of regional myocardial function remains an important goal in clinical cardiology. As such, tissue Doppler imaging and speckle tracking based methods have been introduced to estimate local myocardial strain. Recently, volumetric ultrasound has become more readily available, allowing therefore the 3D estimation of motion and myocardial deformation. Our lab has previously presented a method based on spatio-temporal elastic registration of ultrasound volumes to estimate myocardial motion and deformation in 3D, overcoming the spatial limitations of the existing methods. This method was optimized on simulated data sets in previous work and is currently tested in a clinical setting. In this manuscript, 10 healthy volunteers, 10 patient with myocardial infarction and 10 patients with arterial hypertension were included. The cardiac strain values extracted with the proposed method were compared with the ones estimated with 1D tissue Doppler imaging and 2D speckle tracking in all patient groups. Although the absolute values of the 3D strain components assessed by this new methodology were not identical to the reference methods, the relationship between the different patient groups was similar.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Barbosa, Krassimira Hristova, Dirk Loeckx, Frank Rademakers, Piet Claus, and Jan D'hooge "3D motion and strain estimation of the heart: initial clinical findings", Proc. SPIE 7629, Medical Imaging 2010: Ultrasonic Imaging, Tomography, and Therapy, 762904 (12 March 2010); https://doi.org/10.1117/12.848557
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Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Motion estimation

Speckle

Ultrasonography

Doppler effect

Data acquisition

Tissues

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