In vivo breast sound-speed imaging with ultrasound tomography

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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 types of breasts within BI-RADS density categories 1-4. For all four breast types from fatty to dense, the improvements for average sharpness (in the unit of (m{center_dot} s) {sup ... continued below

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Huang, Lianjie; Li, Cuiping; Duric, Neb & Littrup, Peter January 1, 2009.

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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 types of breasts within BI-RADS density categories 1-4. For all four breast types from fatty to dense, the improvements for average sharpness (in the unit of (m{center_dot} s) {sup -1}) of lesion edges in our TV bent-ray tomograms are between 2.1 to 3.4 fold compared to the straight ray tomograms. Reconstructed sound-speed tomograms illustrated that our algorithm could successfully image fatty and glandular tissues within the breast. We calculated the mean sound-speed values for fatty tissue and breast parenchyma as 1422 {+-} 9 mls (mean{+-} SD) and1487 {+-} 21 mls, respectively. Based on 32 lesions in a cohort of 61 patients, we also found that the mean sound-speed for malignant breast lesions (1548{+-}17 mls) was higher, on average, than that of benign ones (1513{+-}27 mls) (one-sided p<O.OOl). These results suggest that, clinically, sound-speed tomograms can be used to assess breast density (, and therefore, breast cancer risk), as well as detect and help differentiate breast lesions. Finally, our sound-speed tomograms may also be a useful tool to monitor clinical response of breast cancer patients to neo-adjuvant chemotherapy.

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  • Journal Name: Ultrasound in Medicine and Biology

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  • Report No.: LA-UR-09-00780
  • Report No.: LA-UR-09-780
  • Grant Number: AC52-06NA25396
  • DOI: 10.1016/j.ultrasmedbio.2009.02.006 | External Link
  • Office of Scientific & Technical Information Report Number: 956397
  • Archival Resource Key: ark:/67531/metadc934853

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  • January 1, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 12:15 p.m.

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Huang, Lianjie; Li, Cuiping; Duric, Neb & Littrup, Peter. In vivo breast sound-speed imaging with ultrasound tomography, article, January 1, 2009; [New Mexico]. (digital.library.unt.edu/ark:/67531/metadc934853/: accessed December 11, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.