Optimization of Correlation Kernel Size for Accurate Estimation of Myocardial Contraction and Relaxation

Honjo, Yasunori; Hasegawa, Hideyuki; Kanai, Hiroshi

doi:10.7567/jjap.51.07gf06

Cited by 14 publications

(19 citation statements)

References 27 publications

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“…The correlation kernel should be designed based on the ultrasound speckle size that depends on the ultrasound beam width and pulse length (30) (31) . In the present study, the correlation kernel were defined using the − 20 dB width of the lateral ultrasound beam, B L , and that of the envelope in the axial direction, B D .…”

Section: Calculation Of 2d Tissue Motion Using Normalized Cross-corrementioning

confidence: 99%

“…Since the low temporal resolution causes a large myocardial motion in the elevational direction and a large deformation (25)- (27) , two-dimensional (2D) speckle tracking at a high frame rate is desirable for accurate estimation of myocardial contraction and relaxation (28) (29) . In our previous study, 2D displacements of the heart wall were estimated at a frame rate of 860 Hz and over using a wide transmit beam (30)- (32) . The high temporal resolution of the method is suitable for the accurate estimation of myocardial contraction and relaxation; however, a 2D speckle tracking method at a high frame rate requires a high computational load, and the large suppression of calculation time is, therefore, essential for clinical use.…”

Section: Introductionmentioning

confidence: 99%

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Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System

2017

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Several speckle tracking methods have been proposed for noninvasive and quantitative evaluation of tissue motion. Since the low temporal resolution causes a large myocardial motion in the elevational direction and a large deformation, two-dimensional (2D) speckle tracking at a high frame rate is desirable for accurate estimation of myocardial contraction and relaxation. 2D speckle tracking at a high frame rate requires a high computational load, and the large suppression of calculation time is, therefore, essential for clinical use. In the present study, we investigate the minimum frame rate required for the estimation of myocardial contraction and relaxation. Furthermore, we employ a parallel computing principle using a graphical processing unit (GPU) system with 2,496 streaming processors to decrease the calculation time effectively. The employment of a parallel computing principle with a GPU system successfully decreased the calculation time to 1/50 of that using a desktop PC with a CPU. When the number of tracking points is 64, the calculation time was decreased to 28.7 s for the estimation during 1 s at a frame rate of 287 Hz, indicating that the proposed method with a GPU system has a potential to realize a near real-time estimation of myocardial contraction and relaxation.

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Section: Calculation Of 2d Tissue Motion Using Normalized Cross-corrementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System

2017

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“…[12][13][14] Also, a block matching method (speckle tracking method) is known as a common method for estimation of 2D motion using a function evaluating the similarity between signals in two successive frames. 15,16) This method requires interpolation of the similarity function to estimate a sub-sample displacement. On the other hand, phase-sensitive motion estimators can estimate a subsample displacement without the restriction of the sampling interval as long as ultrasonic echoes are sampled at a frequency satisfying the Nyquist condition.…”

Section: Introductionmentioning

confidence: 99%

Investigation on effect of transmit condition on ultrasonic measurement of 2D motion velocity

Yano

Mozumi

Omura

et al. 2022

Jpn. J. Appl. Phys.

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A phase-sensitive 2D motion estimator is useful for measurement of minute tissue motion. However, the effect of conditions for emission of ultrasonic waves on the accuracy of such an estimator has not been investigated thoroughly. In the present study, the accuracy of the phase-sensitive 2D motion estimator was evaluated under a variety of transmission conditions. Although plane wave imaging with a single emission per frame achieved an extremely high temporal resolution of 10417 Hz, the accuracy in estimation of lateral velocities was worse than compound-based method or focused-beam method. By contrast, the accuracy in estimation of axial velocities hardly depended on the transmission conditions. Also, the phase-sensitive 2D motion estimator was combined with the block matching method to estimate displacements larger than the ultrasonic wavelength. Furthermore, the results show that the correlation coefficient in block matching has potential to be used for evaluation of the reliability of the estimated velocity.

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“…19) Many research groups have studied 2D velocity vector imaging using the block matching method in cardiovascular imaging. [20][21][22][23] Our research group has investigated the block matching method to compute blood velocity and evaluated its accuracy. 23) In this cited study, the accuracy in estimation of the lateral velocity using envelope signals was less than that using radio-frequency (RF) signals, which indicated that accurate velocity estimation was difficult in a case when only envelope signals were available, e.g.…”

Section: Introductionmentioning

confidence: 99%

Impact of spacing of ultrasound receiving beams on estimation of 2D motion velocity

Mozumi

Omura

Nagaoka

et al. 2021

Jpn. J. Appl. Phys.

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For more detailed measurement of cardiovascular motion and complex blood flow, a two-dimensional (2D) velocity estimation method is required in functional ultrasound imaging. The block matching method based on the correlation function is one of the standard 2D motion estimators. In this study, we investigated the effect of lateral sampling intervals of an ultrasonic B-mode image on the accuracy in velocity estimation. In simulation, bias error (BE) in estimated velocities became −13% with an ultrasonic center frequency of 7.5 MHz and spacings of receiving beams of 0.2 mm. Such a BE was improved from −13% to −1.4% by changing the spacings from 0.2 to 0.1 mm. In the in vivo experiment, the maximum velocity obtained with spacings of 0.2 mm was underestimated by −16% as compared to those obtained with 0.1 mm. Hence, the trend was similar to that in the simulation.

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Optimization of Correlation Kernel Size for Accurate Estimation of Myocardial Contraction and Relaxation

Cited by 14 publications

References 27 publications

Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System

Near Real-time Measurement of Myocardial Contraction and Relaxation Based on High-frame-rate Ultrasound with a Graphical Processing Unit System

Investigation on effect of transmit condition on ultrasonic measurement of 2D motion velocity

Impact of spacing of ultrasound receiving beams on estimation of 2D motion velocity

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