Why the study?
Does sparse array (SA) imaging improve the performance of modulus elastograms in vessel phantoms compared to conventional linear array (CLA) and plane-wave (PW) imaging?
Does sparse array (SA) imaging improve the performance of modulus elastograms in vessel phantoms compared to conventional linear array (CLA) and plane-wave (PW) imaging?
Despite low transmit power, sparse array imaging can produce useful modulus elastograms with fewer artifacts and lower errors than conventional linear array imaging for superficial vessels.
May support sparse array elastography for superficial vessels; leaves open translation to clinical human use.
Quantitative sparse array vascular elastography visualizes the shear modulus distribution within vascular tissues, information that clinicans could use to reduce the number of strokes each year. However, the low transmit power sparse array (SA) imaging could hamper the clinical usefulness of the resulting elastograms. In this study, we evaluated the performance of modulus elastograms recovered from simulated and physical vessel phantoms with varying attenuation coefficients (0.6, 1.5, and [Formula: see text]) and modulus contrasts ([Formula: see text], [Formula: see text], and [Formula: see text]) using SA imaging relative to those obtained with conventional linear array (CLA) and plane-wave (PW) imaging techniques. Plaques were visible in all modulus elastograms, but those produced using SA and PW contained less artifacts. The modulus contrast-to-noise ratio decreased rapidly with increasing modulus contrast and attenuation coefficient, but more quickly when SA imaging was performed than for CLA or PW. The errors incurred varied from 10.9% to 24% (CLA), 1.8% to 12% (SA), and [Formula: see text] (PW). Modulus elastograms produced with SA and PW imagings were not significantly different ([Formula: see text]). Despite the low transmit power, SA imaging can produce useful modulus elastograms in superficial organs, such as the carotid artery.
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Huntzicker et al. (2014) studied this question.
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