A 2-D anatomic breast ductal computer phantom for ultrasonic imaging

Franceschini, Émilie; Mensah, Serge; Amy, Dominique; Lefèbvre, Jean-Pierre

doi:10.1109/tuffc.2006.1665076

Cited by 11 publications

(11 citation statements)

References 38 publications

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“…The amplitudes of the resulting random components of the sound speed and attenuation slope were chosen to realize variations with standard deviations that are 2% of the assigned values of the background object. These random fluctuations are consistent with the tissue models used in [29] to simulate different breast tissues. Random fluctuations are not included in the vicinity of the right cluster to allow clear characterization of spatial resolution.…”

Section: Methodssupporting

confidence: 86%

A singular-value method for reconstruction of nonradial and lossy objects

Jiang

Astheimer

Waag

2012

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Efficient inverse scattering algorithms for nonradial lossy objects are presented using singular-value decomposition to form reduced-rank representations of the scattering operator. These algorithms extend eigenfunction methods that are not applicable to nonradial lossy scattering objects because the scattering operators for these objects do not have orthonormal eigenfunction decompositions. A method of local reconstruction by segregation of scattering contributions from different local regions is also presented. Scattering from each region is isolated by forming a reduced-rank representation of the scattering operator that has domain and range spaces comprised of far-field patterns with retransmitted fields that focus on the local region. Methods for the estimation of the boundary, average sound speed, and average attenuation slope of the scattering object are also given. These methods yielded approximations of scattering objects that were sufficiently accurate to allow residual variations to be reconstructed in a single iteration. Calculated scattering from a lossy elliptical object with a random background, internal features, and white noise is used to evaluate the proposed methods. Local reconstruction yielded images with spatial resolution that is finer than a half wavelength of the center frequency and reproduces sound speed and attenuation slope with relative root-mean-square errors of 1.09% and 11.45%, respectively.

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Section: Methodssupporting

confidence: 86%

A singular-value method for reconstruction of nonradial and lossy objects

Jiang

Astheimer

Waag

2012

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…Small adjustments to the properties of large, dense duct were adopted to make these values more consistent with the ductal properties reported in Ref. 32.…”

Section: A Segmentation Of Magnetic Resonance Imagesmentioning

confidence: 96%

“…32,33 These values, as measured at 3.0 MHz, are listed in the first three columns of Table I. However, the segmentation procedure separates gland into three different tissues based on T2 response levels that are listed in the table as dense connective tissue; small, sparse duct; and large, dense duct.…”

Section: A Segmentation Of Magnetic Resonance Imagesmentioning

confidence: 99%

“…A nominal value of 2% root-mean-square variations (the value used in Ref. 32) was increased or decreased to produce sonogram responses that were consistent with the expected echogenicities of different tissues. The b-scan simulations were derived exclusively from variations in sound speed, but the amounts of random variation developed from these simulations were also used in the models of attenuation and density.…”

Section: A Segmentation Of Magnetic Resonance Imagesmentioning

confidence: 99%

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Comparison of temporal and spectral scattering methods using acoustically large breast models derived from magnetic resonance images

Hesford

Tillett

Astheimer

et al. 2014

The Journal of the Acoustical Society of America

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Accurate and efficient modeling of ultrasound propagation through realistic tissue models is important to many aspects of clinical ultrasound imaging. Simplified problems with known solutions are often used to study and validate numerical methods. Greater confidence in a timedomain k-space method and a frequency-domain fast multipole method is established in this paper by analyzing results for realistic models of the human breast. Models of breast tissue were produced by segmenting magnetic resonance images of ex vivo specimens into seven distinct tissue types. After confirming with histologic analysis by pathologists that the model structures mimicked in vivo breast, the tissue types were mapped to variations in sound speed and acoustic absorption. Calculations of acoustic scattering by the resulting model were performed on massively parallel supercomputer clusters using parallel implementations of the k-space method and the fast multipole method. The efficient use of these resources was confirmed by parallel efficiency and scalability studies using large-scale, realistic tissue models. Comparisons between the temporal and spectral results were performed in representative planes by Fourier transforming the temporal results. An RMS field error less than 3% throughout the model volume confirms the accuracy of the methods for modeling ultrasound propagation through human breast.

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“…We use a random medium model based on that outlined in Ref. 54, although with longer correlation lengths due to the relatively large spacing of the FDTD grid. Following the empirical relationship that density tends to vary linearly with sound speed 57 , we use the same random field pattern for both density and velocity.…”

Section: Forward Modelmentioning

confidence: 99%

High-resolution imaging without iteration: a fast and robust method for breast ultrasound tomography

Huthwaite¹,

Simonetti²

2011

The Journal of the Acoustical Society of America

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High-resolution breast tomography 1 AbstractBreast ultrasound tomography has the potential to improve the cost, safety and reliability of breast cancer screening and diagnosis over the gold-standard of mammography. Vital to achieving this potential is the development of imaging algorithms to unravel the complex anatomy of the breast and its mechanical properties. The solution most commonly relied upon is Time-of-Flight Tomography but this exhibits low resolution due to the presence of diffraction effects. Iterative full-wave inversion methods present one solution to achieve higher resolution, but these are slow and are not guaranteed to converge to the cor-

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A 2-D anatomic breast ductal computer phantom for ultrasonic imaging

Cited by 11 publications

References 38 publications

A singular-value method for reconstruction of nonradial and lossy objects

A singular-value method for reconstruction of nonradial and lossy objects

Comparison of temporal and spectral scattering methods using acoustically large breast models derived from magnetic resonance images

High-resolution imaging without iteration: a fast and robust method for breast ultrasound tomography

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