Paper
30 May 2001 Accuracy of heart strain rate calculation derived from Doppler tissue velocity data
Andres Santos, Maria J. Ledesma-Carbayo, Norberto Malpica, Manuel Desco, Jose C. Antoranz, Pedro Marcos-Alberca, Miguel A. Garcia-Fernandez
Author Affiliations +
Abstract
Strain Rate (SR) Imaging is a recent imaging technique that provides information about regional myocardial deformation by measuring local compression and expansion rates. SR can be obtained by calculating the local in-plane velocity gradients along the ultrasound beam from Doppler Tissue velocity data. However, SR calculations are very dependent on the image noise and artifacts, and different calculation algorithms may provide inconsistent results. This paper compares techniques to calculate SR. 2D Doppler Tissue Images (DTI) are acquired with an Acuson Sequoia scanner. Noise was measured with the aid of a rotating phantom. Processing is performed on polar coordinates. For each image, after removal of black spot artifacts by a selective median filter, two different SR calculation methods have been implemented. In the first one, SR is computed as the discrete velocity derivative, and noise is reduced with a variable-width gaussian filter. In the second method a smoothing cubic spine is calculated for every scan line according to the noise level and the derivative is obtained from an analytical expression. Both methods have been tested with DTI data from synthetic phantoms and normal volunteers. Results show that noise characteristics, border effects and the adequate scale are critical to obtain meaningful results.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andres Santos, Maria J. Ledesma-Carbayo, Norberto Malpica, Manuel Desco, Jose C. Antoranz, Pedro Marcos-Alberca, and Miguel A. Garcia-Fernandez "Accuracy of heart strain rate calculation derived from Doppler tissue velocity data", Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428235
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Cited by 8 scholarly publications.
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KEYWORDS
Tissues

Doppler effect

Diffusion tensor imaging

Smoothing

Digital filtering

Spatial resolution

Ultrasonography

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