In vivo Breast Sound-Speed Imaging with Ultrasound Tomography
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...
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| Published in | Ultrasound in medicine & biology Vol. 35; no. 10; pp. 1615 - 1628 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Elsevier Inc
01.10.2009
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0301-5629 1879-291X 1879-291X |
| DOI | 10.1016/j.ultrasmedbio.2009.05.011 |
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| Summary: | 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 through 4. Our analysis showed that the improvements for average sharpness (in the unit of (
m · s)
−1) of lesion edges in our TV bent-ray tomograms are between 2.1 to 3.4-fold compared with 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
m/s (mean ± SD) and1487 ± 21
m/s, 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
m/s) was higher, on average, than that of benign ones (1513 ± 27
m/s) (one-sided
p
<
0.001). 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 the clinical response of breast cancer patients to neo-adjuvant chemotherapy. (E-mail:
lic@karmanos.org) |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Undefined-1 ObjectType-Feature-3 |
| ISSN: | 0301-5629 1879-291X 1879-291X |
| DOI: | 10.1016/j.ultrasmedbio.2009.05.011 |