Sound speed correction in ultrasound imaging

Napolitano, David; Chou, C.-H.; McLaughlin, Glen; Ji, Ting-Lan; Mo, L.Y.L.; DeBusschere, D.; Steins, Robert

doi:10.1016/j.ultras.2006.06.061

Cited by 106 publications

(67 citation statements)

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“…However, implementation with a conventional linear array system would allow B-mode identification of internal morphological features and expand the range of tissues that could be interrogated and analyzed in a fixed examination period. Array data may also allow for estimation of in vivo sound speed distributions, 20,21 so that literature-based assumptions need not be made. If measurement-based estimates of sound speeds were available, it may be possible to apply bias corrections to the attenuation estimates using the modeling approach described in Sec.…”

Section: Effects Of Sound Speed Uncertaintymentioning

confidence: 99%

In vivo ultrasonic attenuation in cetacean soft tissues

Gray

Rogers

2017

The Journal of the Acoustical Society of America

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In vivo ultrasonic attenuation was estimated for extracranial soft tissues of two Tursiops truncatus and one Delphinapterus leucas. Backscatter data was non-invasively collected as part of routine health-based ultrasound examinations using a transducer operating in the 1.6–3.7 MHz frequency range. Data collected over the proximal mandible and temporal regions was processed to yield attenuation estimates using a reference tissue phantom whose properties had been independently determined. The estimated attenuations were at the low end of the range of literature-reported values for mammalian fatty and connective tissues. A companion model-based analysis quantified errors arising from tissue composition and sound speed uncertainties.

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Section: Effects Of Sound Speed Uncertaintymentioning

confidence: 99%

In vivo ultrasonic attenuation in cetacean soft tissues

Gray

Rogers

2017

The Journal of the Acoustical Society of America

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“…4 The default assumption of an incorrect value for the speed of sound leads to broader US beams, potential calculation inaccuracies, and poorer image quality, including degraded point and contrast resolution due to increased acoustic clutter. 5,6 US systems traditionally create images based on the assumption that the speed of sound travels through all tissues of the body at a uniform rate of 1540 m/second. US imaging of the breast or any other tissue without a corrected speed of sound clearly impacts the resolution of the image ( Figure 8B).…”

Section: Physicsmentioning

confidence: 99%

Artifacts in diagnostic ultrasound

Hindi¹,

Peterson²,

Barr³

2013

RMI

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Ultrasound artifacts are encountered daily in clinical practice and may be a source of confusion on interpretation. Some artifacts arise secondary to improper scanning techniques and may be avoidable. Other artifacts are generated by the physical limitations of the technique. Recognition of artifacts is important, as they may be clues to tissue composition and aid in diagnosis. The ability to recognize and correct potential ultrasound artifacts is important for image-quality improvement and optimal patient care. In this article, we review common ultrasound artifacts that occur in B mode, spectral and color Doppler, and elastography.

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“…A more complete description should imply the local variations in the speed of sound so as to take into account phase changes during propagation, as done very recently in Ref. 19.…”

Section: A Expression Of the Incident Fieldmentioning

confidence: 99%

A bulk modulus dependent linear model for acoustical imaging

Mari

Blu

Matar

et al. 2009

The Journal of the Acoustical Society of America

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Modeling the acoustical process of soft biological tissue imaging and understanding the consequences of the approximations required by such modeling are key steps for accurately simulating ultrasonic scanning as well as estimating the scattering coefficient of the imaged matter. In this document, a linear solution to the inhomogeneous ultrasonic wave equation is proposed. The classical assumptions required for linearization are applied; however, no approximation is made in the mathematical development regarding density and speed of sound. This leads to an expression of the scattering term that establishes a correspondence between the signal measured by an ultrasound transducer and an intrinsic mechanical property of the imaged tissues. This expression shows that considering the scattering as a function of small variations in the density and speed of sound around their mean values along with classical assumptions in this domain is equivalent to associating the acoustical acquisition with a measure of the relative longitudinal bulk modulus. Comparison of the model proposed to Jensen's earlier model shows that it is also appropriate to perform accurate simulations of the acoustical imaging process.

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Sound speed correction in ultrasound imaging

Cited by 106 publications

References 0 publications

In vivo ultrasonic attenuation in cetacean soft tissues

In vivo ultrasonic attenuation in cetacean soft tissues

Artifacts in diagnostic ultrasound

A bulk modulus dependent linear model for acoustical imaging

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