Sound-speed and attenuation imaging of breast tissue using waveform tomography of transmission ultrasound data

Pratt, R. G.; Huang, Lianjie; Duric, Nebojsa; Littrup, Peter J.

doi:10.1117/12.708789

Cited by 93 publications

(92 citation statements)

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“…Thus, higher frequencies yield better resolution but have an increased amount of small-scale scattering which causes faster signal decay and less penetration depth. While techniques 16,17 have been developed that can resolve detail at resolution of / 3 and better, these are still in an experimental stage and it is not clear if they can work in practice at feasible overhead.…”

Section: Introductionmentioning

confidence: 99%

Refraction corrected transmission ultrasound computed tomography for application in breast imaging

Jackowski

Dione³

et al. 2010

Medical Physics

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Purpose:We present an iterative framework for CT reconstruction from transmission ultrasound data which accurately and efficiently models the strong refraction effects that occur in our target application: Imaging the female breast. Methods: Our refractive ray tracing framework has its foundation in the fast marching method ͑FNMM͒ and it allows an accurate as well as efficient modeling of curved rays. We also describe a novel regularization scheme that yields further significant reconstruction quality improvements. A final contribution is the development of a realistic anthropomorphic digital breast phantom based on the NIH Visible Female data set. Results: Our system is able to resolve very fine details even in the presence of significant noise, and it reconstructs both sound speed and attenuation data. Excellent correspondence with a traditional, but significantly more computationally expensive wave equation solver is achieved. Conclusions: Apart from the accurate modeling of curved rays, decisive factors have also been our regularization scheme and the high-quality interpolation filter we have used. An added benefit of our framework is that it accelerates well on GPUs where we have shown that clinical 3D reconstruction speeds on the order of minutes are possible.

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Section: Introductionmentioning

confidence: 99%

Refraction corrected transmission ultrasound computed tomography for application in breast imaging

Jackowski

Dione³

et al. 2010

Medical Physics

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“…As such, one would not expect image-formation type methods to yield the same high resolution results as in Ref. [29][30][31]. Moreover, the fast backprojection computational methods of Refs.…”

Section: Introductionmentioning

confidence: 99%

“…Less common is the use of tomographic approaches for processing ultrasound data. In cases where an ultrasound system can fully encircle a region of interest then it is possible to employ tomographic approaches as a diagnostic tool 29,30 or to detect HIFU lesions. 31 However, in the body the breast is perhaps the only organ that provides this access and most applications of HIFU therapy yield imaging problems for which only backscatter data, as are typically acquired by commercial ultrasonic transducers, will be available.…”

Section: Introductionmentioning

confidence: 99%

Shape-based ultrasound tomography using a Born model with application to high intensity focused ultrasound therapy

Karbeyaz

Miller

Cleveland

2008

The Journal of the Acoustical Society of America

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A shaped-based ultrasound tomography method is proposed to reconstruct ellipsoidal objects using a linearized scattering model. The method is motivated by the desire to detect the presence of lesions created by high intensity focused ultrasound ͑HIFU͒ in applications of cancer therapy. The computational size and limited view nature of the relevant three-dimensional inverse problem renders impractical the use of traditional pixel-based reconstruction methods. However, by employing a shape-based parametrization it is only necessary to estimate a small number of unknowns describing the geometry of the lesion, in this paper assumed to be ellipsoidal. The details of the shape-based nonlinear inversion method are provided. Results obtained from a commercial ultrasound scanner and a tissue phantom containing a HIFU-like lesion demonstrate the feasibility of the approach where a 20 mmϫ 5 mmϫ 6 mm ellipsoidal inclusion was detected with an accuracy of around 5%.

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“…If one could receive an estimate of all the scattered waves from small inhomogeneities within tissue of interest as well as the scatter from the tissue's boundaries, it would be possible to make an approximate image of the tissue's absorption coefficient. While full-wave inversions do address actual bulk attenuation, and even absorption, instead of simple insertion loss, these algorithms are heavily time and memory consuming, [17][18][19] and are performed with the requisite 4p solid angle receiving apertures. Without two-dimensional (2D) arrays and 3D data, these algorithms do not correct for out-ofplane scattering components.…”

Section: Introductionmentioning

confidence: 99%

Acoustic attenuation imaging of tissue bulk properties with a priori information

Hooi

Kripfgans

Carson

2016

The Journal of the Acoustical Society of America

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Attenuation of ultrasound waves traversing a medium is not only a result of absorption and scattering within a given tissue, but also of coherent scattering, including diffraction, refraction, and reflection of the acoustic wave at tissue boundaries. This leads to edge enhancement and other artifacts in most reconstruction algorithms, other than 3D wave migration with currently impractical, implementations. The presented approach accounts for energy loss at tissue boundaries by normalizing data based on variable sound speed, and potential density, of the medium using a k-space wave solver. Coupled with a priori knowledge of major sound speed distributions, physical attenuation values within broad ranges, and the assumption of homogeneity within segmented regions, an attenuation image representative of region bulk properties is constructed by solving a penalized weighted least squares optimization problem. This is in contradistinction to absorption or to conventional attenuation coefficient based on overall insertion loss with strong dependence on sound speed and impedance mismatches at tissue boundaries. This imaged property will be referred to as the bulk attenuation coefficient. The algorithm is demonstrated on an opposed array setup, with mean-squared-error improvements from 0.6269 to 0.0424 (dB/cm/MHz) 2 for a cylindrical phantom, and 0.1622 to 0.0256 (dB/cm/MHz) 2 for a windowed phantom.

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Sound-speed and attenuation imaging of breast tissue using waveform tomography of transmission ultrasound data

Cited by 93 publications

References 0 publications

Refraction corrected transmission ultrasound computed tomography for application in breast imaging

Refraction corrected transmission ultrasound computed tomography for application in breast imaging

Shape-based ultrasound tomography using a Born model with application to high intensity focused ultrasound therapy

Acoustic attenuation imaging of tissue bulk properties with a priori information

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