Full 2D displacement vector and strain tensor estimation for superficial tissue using beam-steered ultrasound imaging

Hansen, Hendrik H.G.; Lopata, R.G.P.; Idzenga, Tim; Korte, Chris L. de

doi:10.1088/0031-9155/55/11/014

Cited by 92 publications

(78 citation statements)

References 37 publications

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“…This finding is in agreement with previous studies [6] and confirms that compounding can improve the accuracy of 2D motion estimation in the murine heart when using commercially available clinical equipment. As expected, these better motion estimates also resulted in more accurate estimates of both myocardial strain components (Figure 3).…”

Section: Discussionsupporting

confidence: 93%

“…Feasibility of this technique was established in-silico as well as in-vitro [3], [4], [5]. Recently, Hansen et al tested beam steering in vessel phantoms and showed that the compounding method outperformed 2D RF-based speckle tracking [6]. Therefore, the aim of this study was to analyse whether the compounding of 1D axial motion estimates could possibly improve 2D strain estimation in the murine heart using simulated data sets.…”

Section: Introductionmentioning

confidence: 99%

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Spatial compounding for 2D strain estimation in the mouse heart: A pilot study

Kremer

Rabayah

Choi

et al. 2010

2010 IEEE International Ultrasonics Symposium

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Abstract-Estimating cardiac strain in the mouse in the lateral direction using speckle tracking with adapted clinical equipment was shown to be challenging due to the fast heart rate and the large speckle size relative to the wall thickness. Compounding axial motion estimates acquired from different insonation angles can potentially improve lateral strain estimates. Therefore, the aim of this study was to test the feasibility of this methodology in the murine heart based on simulated data sets.A 3D kinematic model of a murine left ventricle was simulated and filled randomly with scatterers. Ultrasound short-axis images (10mm x 6mm) were obtained by assuming a linear array transducer. Beam steering was simulated at 3 different angles (22. Axial motion was estimated in each data set by 1D cross-correlation. A dynamic programming approach was integrated in the motion estimation algorithm to avoid discontinuities. Axial components were combined to reconstruct the in-plane motion vector. The 2D displacement fields were subsequently accumulated over the whole cycle. The procedure was repeated for 10 different distributions of scatterers to acquire 10 different RF data sets (5 for parameter tuning and 5 for comparing the methods).Radial and circumferential RMS strain errors calculated from the accumulated motion fields were compared with those obtained with 2D speckle tracking. Spatial compounding yielded significantly better radial (RMSE: 0.0737 ± 0.0078 vs. 0.112 ± 0.0094) as well as circumferential strain (RMSE: 0.102 ± 0.0097 vs. 0.281 ± 0.054).

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Spatial compounding for 2D strain estimation in the mouse heart: A pilot study

Kremer

Rabayah

Choi

et al. 2010

2010 IEEE International Ultrasonics Symposium

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“…The estimation of vessel wall displacements and blood flow velocities could be further improved by performing displacement compounding [40,49,62], a method introduced by Techavipoo et al [63] and adapted for vascular strain estimation [64] and blood flow imaging [52]. Angled plane waves are used to derive the displacement or velocity vector, using solely axial displacement estimates.…”

Section: Discussionmentioning

confidence: 99%

“…Angled plane waves are used to derive the displacement or velocity vector, using solely axial displacement estimates. However, to improve the accuracy and precision of the estimates, often 2D ST is performed to acquire these axial displacements [62,64,65], meaning the accuracy of both the lateral and axial displacement estimates influence the performance of the compounding method. Therefore, displacement compounding would also strongly benefit from the methodology as presented in this work.…”

Section: Discussionmentioning

confidence: 99%

A PSF-Shape-Based Beamforming Strategy for Robust 2D Motion Estimation in Ultrafast Data

et al. 2018

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This paper presents a framework for motion estimation in ultrafast ultrasound data. It describes a novel approach for determining the sampling grid for ultrafast data based on the system's point-spread-function (PSF). As a consequence, the cross-correlation functions (CCF) used in the speckle tracking (ST) algorithm will have circular-shaped peaks, which can be interpolated using a 2D interpolation method to estimate subsample displacements. Carotid artery wall motion and parabolic blood flow simulations together with rotating disk experiments using a Verasonics Vantage 256 are used for performance evaluation. Zero-degree plane wave data were acquired using an ATL L5-12 (f c = 9 MHz) transducer for a range of pulse repetition frequencies (PRFs), resulting in 0-600 µm inter-frame displacements. The proposed methodology was compared to data beamformed on a conventionally spaced grid, combined with the commonly used 1D parabolic interpolation. The PSF-shape-based beamforming grid combined with 2D cubic interpolation showed the most accurate and stable performance with respect to the full range of inter-frame displacements, both for the assessment of blood flow and vessel wall dynamics. The proposed methodology can be used as a protocolled way to beamform ultrafast data and obtain accurate estimates of tissue motion.

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“…Next, displacements were estimated by two step coarse-to-fine normalized cross correlation of pre-and post-rotation beam-formed ultrasound envelope and RF data in the first and second step respectively [18,19]. The cross-correlation peak was interpolated (2-D spline) after the final iteration to estimate sub-sample displacements.…”

Section: Transducermentioning

confidence: 99%

Notice of Removal: Quasi-static elastography and ultrasound plane-wave imaging: The effect of beam-forming strategies on the accuracy of displacement estimations

Hendriks

Chen

Hansen

et al. 2017

2017 IEEE International Ultrasonics Symposium (IUS)

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Quasi-static elastography is an ultrasound method which is widely used to assess displacements and strain in tissue by correlating ultrasound data at different levels of deformation. Ultrafast plane-wave imaging allows us to obtain ultrasound data at frame rates over 10 kHz, permitting the quantification and visualization of fast deformations. Currently, mainly three beam-forming strategies are used to reconstruct radio frequency (RF) data from plane-wave acquisitions: delay-and-sum (DaS), and Lu's-fk and Stolt's-fk operating in the temporal-spatial and Fourier spaces, respectively. However, the effect of these strategies on elastography is unknown. This study investigates the effect of these beam-forming strategies on the accuracy of displacement estimation in four transducers (L7-4, 12L4VF, L12-5, MS250) for various reconstruction line densities and apodization/filtering settings. A method was developed to assess the accuracy experimentally using displacement gradients obtained in a rotating phantom. A line density with multiple lines per pitch resulted in increased accuracy compared to one line per pitch for all transducers and strategies. The impact on displacement accuracy of apodization/filtering varied per transducer. Overall, Lu's-fk beam-forming resulted in the most accurate displacement estimates. Although DaS in some cases provided similar results, Lu's-fk is more computationally efficient, leading to the conclusion that Lu's-fk is most optimal for plane wave ultrasound-based elastography.

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Full 2D displacement vector and strain tensor estimation for superficial tissue using beam-steered ultrasound imaging

Cited by 92 publications

References 37 publications

Spatial compounding for 2D strain estimation in the mouse heart: A pilot study

Spatial compounding for 2D strain estimation in the mouse heart: A pilot study

A PSF-Shape-Based Beamforming Strategy for Robust 2D Motion Estimation in Ultrafast Data

Notice of Removal: Quasi-static elastography and ultrasound plane-wave imaging: The effect of beam-forming strategies on the accuracy of displacement estimations

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