Key result
A weighted least squares regression method using speckle statistics was presented to facilitate the computation of myocardial strain rate from ultrasound Doppler tissue velocity estimates.
This paper presents a statistical method to improve the computation of myocardial strain rate from ultrasound Doppler tissue velocity data, reducing numerical noise.
Quantification of the relative myocardial deformation rate, or strain rate, is an emerging capability to aid a cardiologist in assessing myocardial function. Ultrasound Doppler techniques can be used to compute tissue motion relative to a transducer. The myocardial strain rate can be computed as the localized spatial derivative of the tissue velocity. Such a strain-rate estimate is typically numerically noisy. We present the relevant speckle statistics to faciliate the computation of the strain rate based on a weighted least squares regression, with statistically appropriate weights.
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Jackson et al. (2003) studied Myocardial function assessment. Ultrasound-based velocity estimate statistics (weighted least squares regression) was evaluated on Computation of strain rate. A weighted least squares regression method using speckle statistics was presented to facilitate the computation of myocardial strain rate from ultrasound Doppler tissue velocity estimates.
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