3-D Nonlinear Acoustic Inverse Scattering: Algorithm and Quantitative Results

Wiskin, James; Borup, D.T.; Iuanow, Elaine; Klock, John C.; Lenox, M.

doi:10.1109/tuffc.2017.2706189

Cited by 71 publications

(97 citation statements)

References 32 publications

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“…Once the breast volume is isolated, we use the quantitative estimate of the tissue SOS at each particular voxel for the critical segmentation operation to distinguish between fibroglandular and other tissue. This operation requires lack of artifacts and high resolution which requires modeling and reconstruction incorporating both refraction and diffraction effects in full 3D . The voxels are 0.4 mm × 0.4 mm × 1 mm in size and the image space is 531 × 531 pixels in the coronal view of the breast.…”

Section: Resultsmentioning

confidence: 99%

“…We also note that our images are unique in their high resolution, reduction of 2D artifact, and reduction of “volume averaging” which may affect any segmentation yielding a QBD score . Sak et al .…”

Section: Discussionmentioning

confidence: 99%

“…Note, however, that the segmentation of the SOS is critical for distinguishing fibroglandular tissue. This requires high‐resolution speed images that are obtained by modeling refraction and diffraction effects in 3D, which are required to avoid artifacts and volume averaging effects . Presently, we used a SOS of 1489 m/s as a threshold to distinguish fibroglandular from fat tissue.…”

Section: Methodsmentioning

confidence: 99%

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Quantitative assessment of breast density using transmission ultrasound tomography

et al. 2019

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Purpose Breast density is important in the evaluation of breast cancer risk. At present, breast density is evaluated using two‐dimensional projections from mammography with or without tomosynthesis using either (a) subjective assessment or (b) a computer‐aided approach. The purpose of this work is twofold: (a) to establish an algorithm for quantitative assessment of breast density using quantitative three‐dimensional transmission ultrasound imaging; and (b) to determine how these quantitative assessments compare with both subjective and objective mammographic assessments of breast density. Methods We described and verified a threshold‐based segmentation algorithm to give a quantitative breast density ( QBD ) on ultrasound tomography images of phantoms of known geometric forms. We also used the algorithm and transmission ultrasound tomography to quantitatively determine breast density by separating fibroglandular tissue from fat and skin, based on imaged, quantitative tissue characteristics, and compared the quantitative tomography segmentation results with subjective and objective mammographic assessments. Results Quantitative breast density ( QBD ) measured in phantoms demonstrates high quantitative accuracy with respect to geometric volumes with average difference of less than 0.1% of the total phantom volumes. There is a strong correlation between QBD and both subjective mammographic assessments of Breast Imaging ‐ Reporting and Data System ( BI ‐ RADS ) breast composition categories and Volpara density scores — the Spearman correlation coefficients for the two comparisons were calculated to be 0.90 (95% CI : 0.71–0.96) and 0.96 (95% CI : 0.92–0.98), respectively. Conclusions The calculation of breast density using ultrasound tomography and the described segmentation algorithm is quantitatively accurate in phantoms and highly correlated with both subjective and Food and Drug Administration ( FDA )‐cleared objective assessments of breast density.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Quantitative assessment of breast density using transmission ultrasound tomography

et al. 2019

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“…The absolute bias values in both speed of sound and reflection modalities are subresolution. Also note that there is no trend in the value of measurement and accuracy of measurement, which is a hallmark of true model‐based inversion tomographic techniques …”

Section: Resultsmentioning

confidence: 99%

“…A wideband chirp provides raw information at frequencies ranging from 0.3 to 1.5 MHz, with a center frequency for the transmission transmitter/receiver pair at ~0.9 MHz and 6‐dB bandwidth of approximately 1 MHz and is acquired for 180 angles as the set of arrays is rotated around the object. The acquired projections are used for image reconstruction using nonlinear inverse scattering in 3D, result of which is three‐dimensional image volumes of complex refractive index values — the real and imaginary parts of the refractive index correspond to the speed of sound and attenuation . Note that the system is able to collect out of plane information since the receiver array is 20 mm tall and consists of eight rows of receiver elements.…”

Section: Methodsmentioning

confidence: 99%

Quantitative transmission ultrasound tomography: Imaging and performance characteristics

et al. 2018

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Purpose Quantitative Transmission (QT) ultrasound has shown promise as a breast imaging modality. This study characterizes the performance of the latest generation of QT ultrasound scanners: QT Scanner 2000. Methods The scanner consists of a 2048-element ultrasound receiver array for transmission imaging and three transceivers for reflection imaging. Custom fabricated phantoms were used to quantify the imaging performance parameters. The specific performance parameters that have been characterized are spatial resolution (as point spread function), linear measurement accuracy, contrast to noise ratio, and image uniformity, in both transmission and reflection imaging modalities. Results The intrinsic in-plane resolution was measured to be better than 1.5 mm and 1.0 mm for transmission and reflection modalities, respectively. The linear measurement accuracy was measured to be, on average, approximately 1% for both the modalities. Speed of sound image uniformity and measurement accuracy were calculated to be 99.5% and < 0.2%, respectively. Contrast to noise ratio (CNR) measurements vary as a function of object size. Conclusions The results show an improvement in the imaging performance of the system in comparison to earlier ultrasound tomography systems, which are applicable to clinical applications of the system, such as breast imaging.

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Supercomputer Simulation Study of the Convergence of Iterative Methods for Solving Inverse Problems of 3D Acoustic Tomography with the Data on a Cylindrical Surface

Romanov

2018

Communications in Computer and Information Science

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3-D Nonlinear Acoustic Inverse Scattering: Algorithm and Quantitative Results

Cited by 71 publications

References 32 publications

Quantitative assessment of breast density using transmission ultrasound tomography

Quantitative assessment of breast density using transmission ultrasound tomography

Quantitative transmission ultrasound tomography: Imaging and performance characteristics

Supercomputer Simulation Study of the Convergence of Iterative Methods for Solving Inverse Problems of 3D Acoustic Tomography with the Data on a Cylindrical Surface

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