2009
DOI: 10.1016/j.ultrasmedbio.2009.05.011
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In vivo Breast Sound-Speed Imaging with Ultrasound Tomography

Abstract: We discuss a bent-ray ultrasound tomography algorithm with total-variation (TV) regularization. We have applied this algorithm to 61 in vivo breast datasets collected with our in-house clinical prototype for imaging sound-speed distributions in the breast. Our analysis showed that TV regularization could preserve sharper lesion edges than the classic Tikhonov regularization. Furthermore, the image quality of our TV bent-ray sound-speed tomograms was superior to that of the straight-ray counterparts for all typ… Show more

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Cited by 273 publications
(204 citation statements)
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References 44 publications
(50 reference statements)
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“…7,20,23,24 However, none of these methods have been efficient enough to be deployed in practice, and thus the more recent literature is dominated by straight ray propagation methods. But as was shown by Denis et al 25 and more recently by Li et al,26 nonlinear ray tracing can achieve substantial qualitative improvements over straight ray casting, even for moderately refracting fields. Yet that work did not offer efficient methods to accomplish this.…”
Section: Iib Projection Simulatormentioning
confidence: 91%
“…7,20,23,24 However, none of these methods have been efficient enough to be deployed in practice, and thus the more recent literature is dominated by straight ray propagation methods. But as was shown by Denis et al 25 and more recently by Li et al,26 nonlinear ray tracing can achieve substantial qualitative improvements over straight ray casting, even for moderately refracting fields. Yet that work did not offer efficient methods to accomplish this.…”
Section: Iib Projection Simulatormentioning
confidence: 91%
“…This method thus preserves discontinuities on the reconstructed profiles, producing a sharp transition of conductivity over the intermedium boundaries [2].…”
Section: Introductionmentioning
confidence: 99%
“…The transmitted signal is used to reconstruct sound speed and attenuation maps of the imaged area. [12][13][14] The sound speed images are reconstructed from measurements of the signal arrival times using bent-ray techniques, while the attenuation is reconstructed from the calculated loss of wave energy along bent-ray paths. The reflection images are reconstructed using delay and sum migration techniques.…”
Section: Introductionmentioning
confidence: 99%