Computerized Ultrasound Risk Evaluation (CURE) System: Development of Combined Transmission and Reflection Ultrasound with New Reconstruction Algorithms for Breast Imaging

Littrup, Peter J.; Duric, Nebojsa; Azevedo, S.G.; Chambers, David H.; Candy, James V.; Johnson, S. A.; Auner, G. W.; Rather, John D. G.; Holsapple, Earle

doi:10.1007/978-1-4419-8606-1_23

Cited by 15 publications

(14 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Computed Ultrasound Risk Evaluation (CURE), was designed and built at the Karmanos Cancer Institute (KCI) , Detroit, MI (Durie et aI., 2005(Durie et aI., , 2007Littrup et al 2001Littrup et al , 2002. Since most abnormal breast lesions have higher sound-speed than normal breast tissue (Gauss et aI., 1997), the goal is to accurately and efficiently produce images of breast sound-speeds based on the ultrasound signals are transmitted through the breast tissue to the other side of the ring array.…”

Section: Introductionmentioning

confidence: 99%

Ultrasonographic Evaluation of Hyoid–Larynx Approximation in Dysphagic Stroke Patients

Huang

Hsieh

Chang

et al. 2009

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

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· s) -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 ml s (mean± SD) and1487 ± 21 ml 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 mls) was higher, on average, than that of benign ones (1513±27 mls) (one-sided p

show abstract

Section: Introductionmentioning

confidence: 99%

Ultrasonographic Evaluation of Hyoid–Larynx Approximation in Dysphagic Stroke Patients

Huang

Hsieh

Chang

et al. 2009

Ultrasound in Medicine & Biology

View full text Add to dashboard Cite

show abstract

“…LLNL was also tasked with developing the initial algorithms for image reconstruction. The engineering prototype and some of the initial results are described in a previous paper 4 . Additional algorithms are being developed in collaboration with physicists at Groupvelocity, LLC.…”

Section: Methodsmentioning

confidence: 99%

<title>Using data fusion to characterize breast tissue</title>

et al. 2002

Self Cite

View full text Add to dashboard Cite

New ultrasound data, obtained with a circular experimental scanner, are compared with data obtained with standard Xray CT. Ultrasound data obtained by scanning fixed breast tissue were used to generate images of sound speed and reflectivity. The ultrasound images exhibit approximately 1 mm resolution and about 20 dB of dynamic range. All data were obtained in a circular geometry. X-ray CT scans were used to generate X-ray images corresponding to the same "slices" obtained with the ultrasound scanner. The good match of sensitivity, resolution and angular coverage between the ultrasound and X-ray data makes possible a direct comparison of the three types of images. We present the results of such a comparison for an excised breast fixed in formalin. The results are presented visually using various types of data fusion. A general correspondence between the sound speed, reflectivity and X-ray morphologies is found. The degree to which data fusion can help characterize tissue is assessed by examining the quantitative correlations between the ultrasound and X-ray images.

show abstract

“…Accordingly, many researchers have devoted their efforts to find an alternative approach for breast cancer screening ( [2], [3], [4], [5]). Ultrasound computed tomography (UCT) has been studied for many years [6][7][8][9][10]. It has the ability to provide accurate quantitative images for the object parameters, such as sound speed distribution and attenuation coefficient, although it is not yet used in clinical applications.…”

Section: Introductionmentioning

confidence: 99%

Breast Ultrasound Tomography Using Homotopy Continuation Method

Gaddoura

Wang

Ding

et al. 2011

2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation

View full text Add to dashboard Cite

Breast ultrasound computed tomography (UCT) is an alternative technique to X-ray mammography and B-mode ultrasound. Since mammogram has a high rate of false-positive results, as well as unconformability . On the other hand low resolution images in conventional ultrasound make the differentiation between breast tissue and tumor a little difficult. In this preliminary study we tested and investigated full wave based tomography method. We considered this problem as an nonlinear inverse problem by constructing a nonlinear operator, and finding an approximate solution to this operator by using the well known globally convergent method, which called homotopy continuation methods (HCM). The effect of the noise to the reconstructed image is also tested. Our results is compared to other methods as filtered back projection (FBP). The results shows the robustness and the visibility of this technique.

show abstract

Computerized Ultrasound Risk Evaluation (CURE) System: Development of Combined Transmission and Reflection Ultrasound with New Reconstruction Algorithms for Breast Imaging

Abstract: This report has been reproduced directly from the best available copy.

Cited by 15 publications

References 14 publications

Ultrasonographic Evaluation of Hyoid–Larynx Approximation in Dysphagic Stroke Patients

Ultrasonographic Evaluation of Hyoid–Larynx Approximation in Dysphagic Stroke Patients

<title>Using data fusion to characterize breast tissue</title>

Breast Ultrasound Tomography Using Homotopy Continuation Method

Contact Info

Product

Resources

About