Erratum: Sources of image degradation in fundamental and harmonic ultrasound imaging: a nonlinear, full-wave, simulation study [Apr 11 754-765]

Pinton, Gianmarco; Trahey, Gregg E.; Dahl, Jeremy J.

doi:10.1109/tuffc.2011.1938

Cited by 81 publications

(39 citation statements)

References 45 publications

(50 reference statements)

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“…These are typically first estimated using simulation software such as Field II [37], [38] and determination of the point-spreadfunction (PSF) for linear imaging systems. For non-linear imaging more complicated simulation schemes like K-wave [39], Abersim [40], finite element methods [41], or a nonlinear angular spectrum approach [42] can be used to also include effects distorting the PSF. Using the PSF the spatial resolution and cystic resolution [19], [20] are determined and used to optimize the method for a chosen clinical useful scenario.…”

Section: A Phase I: Demonstration Of Prototypementioning

confidence: 99%

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

Hemmsen

Lange

Brandt

et al. 2017

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-This paper discusses methods for assessment of ultrasound image quality based on our experiences with evaluating new methods for anatomic imaging. It presents a methodology to ensure a fair assessment between competing imaging methods using clinically relevant evaluations. The methodology is valuable in the continuing process of method optimization and guided development of new imaging methods. It includes a three phased study plan covering from initial prototype development to clinical assessment. Recommendations to the clinical assessment protocol, software, and statistical analysis are presented. Earlier uses of the methodology has shown that it ensures validity of the assessment, as it separates the influences between developer, investigator, and assessor once a research protocol has been established. This separation reduces confounding influences on the result from the developer to properly reveal the clinical value. The paper exemplifies the methodology using recent studies of Synthetic Aperture Sequential Beamforming tissue harmonic imaging.

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Section: A Phase I: Demonstration Of Prototypementioning

confidence: 99%

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

Hemmsen

Lange

Brandt

et al. 2017

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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show abstract

“…The advantage of finite differences simulations of ultrasound imaging is that they can model fine heterogeneities, phase aberration, multiple scattering, and the generally complex acoustical anatomy of the human body [3], [4]. The disadvantage of finite difference modeling of the full-wave equation is its computational cost which is significantly higher than ultrasound imaging simulations that solve approximations to the wave equation or that convolve the imaging impulse response with a field of scatterers [5].…”

Section: Introductionmentioning

confidence: 99%

Subresolution Displacements in Finite Difference Simulations of Ultrasound Propagation and Imaging

Pinton

2017

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Time domain finite difference simulations are used extensively to simulate wave propagation. They approximate the wave field on a discrete domain with a grid spacing that is typically on the order of a tenth of a wavelength. The smallest displacements that can be modeled by this type of simulation are thus limited to discrete values that are integer multiples of the grid spacing. This paper presents a method to represent continuous and subresolution displacements by varying the impedance of individual elements in a multi-element scatterer. It is demonstrated that this method removes the limitations imposed by the discrete grid spacing by generating a continuum of displacements as measured by the backscattered signal. The method is first validated on an ideal perfect correlation case with a single scatterer. It is subsequently applied to a more complex case with a field of scatterers that model an acoustic radiation force induced displacement used in ultrasound elasticity imaging. A custom finite difference simulation tool is used to simulate propagation from ultrasound imaging pulses in the scatterer field. These simulated transmit-receive events are then beamformed into images which are tracked with a correlation based algorithm to determine the displacement. A linear predictive model is developed to analytically describe the relationship between element impedance and backscattered phase shift. The error between model and simulation is λ/1364, where λ is the acoustical wavelength. An iterative method is also presented that reduces the simulation error to λ/5556 over one iteration. The proposed technique therefore offers a computationally efficient method to model continuous subresolution displacements of a scattering medium in ultrasound imaging. This method has applications that include ultrasound elastography, blood flow, and motion tracking. This method also extends generally to finite difference simulations of wave propagation, such as electromagnetic or seismic waves.

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“…[1][2][3][4] A handful of methods are the sources of this degradation. These include long-standing approaches, such as time-reversal, and newer approaches, such as second-order ultrasound field imaging and aperture domain coherence beamformers.…”

Section: Introductionmentioning

confidence: 99%

Pseudononlinear ultrasound simulation approach for reverberation clutter

Byram

Shu

2016

J. Med. Imag

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Abstract. Multipath scattering, or reverberation, takes a substantial toll on image quality in many clinical exams.We have suggested a model-based solution to this problem, which we refer to as aperture domain model image reconstruction (ADMIRE). For ADMIRE to work well, it must be trained with precisely characterized data. To solve this specific problem and the general problem of efficiently simulating reverberation, we propose an approach to simulate reverberation with linear simulation tools. Our simulation method defines total propagation time, first scattering site, and a final scattering site. We use a linear simulation package, such as Field II, to simulate scattering from the final site and then shift the simulated wavefront later in time based on the total propagation time and the geometry of the first scattering site. We validate our simulations using theoretical descriptions of clutter in the literature and data acquired from ex vivo tissue. We found that ex vivo tissue clutter had a mean speckle SNR of 1.40 AE 0.23, which we could simulate with about 2 scatterers per resolution cell. Axial clutter distributions drawn from an exponential distribution with a mean of 5 mm and at least 0.5 scatters per resolution cell resulted in clutter that was statistically indistinguishable from the van Cittert-Zernike behavior predicted by literature.

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Erratum: Sources of image degradation in fundamental and harmonic ultrasound imaging: a nonlinear, full-wave, simulation study [Apr 11 754-765]

Cited by 81 publications

References 45 publications

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

Subresolution Displacements in Finite Difference Simulations of Ultrasound Propagation and Imaging

Pseudononlinear ultrasound simulation approach for reverberation clutter

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