Search Results - "Luchies, Adam"

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  1. 1

    Deep Neural Networks for Ultrasound Beamforming by Luchies, Adam C., Byram, Brett C.

    Published in IEEE transactions on medical imaging (01-09-2018)
    “…We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in ultrasound channel data. Our implementation operates in the…”
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    Journal Article
  2. 2

    Assessing the Robustness of Frequency-Domain Ultrasound Beamforming Using Deep Neural Networks by Luchies, Adam C., Byram, Brett C.

    “…We study training deep neural network (DNN) frequency-domain beamformers using simulated and phantom anechoic cysts and compare to training with simulated…”
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    Journal Article
  3. 3

    Evaluating Input Domain and Model Selection for Deep Network Ultrasound Beamforming by Tierney, Jaime, Luchies, Adam, Berger, Matthew, Byram, Brett

    “…Improving ultrasound B-mode image quality remains an important area of research. Recently, there has been increased interest in using deep neural networks…”
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    Journal Article
  4. 4

    Effects of the container on structure function with impedance map analysis of dense scattering media by Luchies, Adam C., Oelze, Michael L.

    “…Quantitative ultrasound (QUS) can be used to estimate acoustic properties of tissue microstructure. In one approach to QUS, the backscatter coefficient (BSC)…”
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    Journal Article
  5. 5

    Using two-dimensional impedance maps to study weak scattering in sparse random media by Luchies, Adam C., Oelze, Michael L.

    “…Impedance maps (ZMs) have been proposed as a tool for modeling acoustic properties of tissue microstructure. Three-dimensional (3D) ZMs are constructed from a…”
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    Journal Article
  6. 6

    Temperature dependent ultrasonic characterization of biological media by Ghoshal, Goutam, Luchies, Adam C., Blue, James P., Oelze, Michael L.

    “…Quantitative ultrasound (QUS) is an imaging technique that can be used to quantify tissue microstructure giving rise to scattered ultrasound. Other ultrasonic…”
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    Journal Article
  7. 7

    Backscatter Coefficient Estimation Using Tapers with Gaps by Luchies, Adam C., Oelze, Michael L.

    Published in Ultrasonic imaging (01-04-2015)
    “…When using the backscatter coefficient (BSC) to estimate quantitative ultrasound parameters such as the effective scatterer diameter (ESD) and the effective…”
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    Journal Article
  8. 8

    Quantitative ultrasonic characterization of diffuse scatterers in the presence of structures that produce coherent echoes by Luchies, A. C., Ghoshal, G., O'brien, W. D., Oelze, M. L.

    “…Quantitative ultrasound (QUS) techniques that parameterize the backscattered power spectrum have demonstrated significant promise for ultrasonic tissue…”
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    Journal Article
  9. 9

    Backscatter coefficient estimation using tapers with gaps by Luchies, Adam, Oelze, Michael

    “…When using the backscatter coefficient (BSC) to estimate quantitative ultrasound (QUS) parameters such as the effective scatterer diameter (ESD) and the…”
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    Journal Article
  10. 10

    Using two-dimensional impedance maps to study weak scattering in isotropic random media by Luchies, Adam, Oelze, Michael

    “…An impedance map (ZM) is a computational tool for studying weak scattering in soft tissues. Currently, three-dimensional (3D) ZMs are created from a series of…”
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    Journal Article
  11. 11

    Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data by Tierney, Jaime, Luchies, Adam, Khan, Christopher, Baker, Jennifer, Brown, Daniel, Byram, Brett, Berger, Matthew

    Published in IEEE transactions on medical imaging (01-01-2022)
    “…Conventional delay-and-sum (DAS) beamforming is highly efficient but also suffers from various sources of image degradation. Several adaptive beamformers have…”
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    Journal Article
  12. 12

    Advanced beamforming for improved functional assessment in echocardiography by Byram, Brett, Dei, Kaz, Schlunk, Siegfried, Luchies, Adam

    “…Echocardiography is one of the most used medical imaging exams. The data from these exams are often used to compute quantitative metrics of cardiac health…”
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    Journal Article
  13. 13

    Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding by Coila, Andres, Rouyer, Julien, Zenteno, Omar, Luchies, Adam, Oelze, Michael L., Lavarello, Roberto

    Published in Ultrasonics (01-07-2021)
    “…The backscatter coefficient (BSC) quantifies the frequency-dependent reflectivity of tissues. Accurate estimation of the BSC is only possible with the…”
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    Journal Article
  14. 14

    Physics and data driven models for ultrasound image reconstruction by Byram, Brett, Dei, Kazuyuki, Luchies, Adam

    “…Ultrasound imaging is widely used in medicine, but image quality is often poor. To address this shortcoming, we developed physical model driven approaches for…”
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    Conference Proceeding
  15. 15

    Modeling volume power spectra for collections of spheres in a finite container by Luchies, Adam C., Oelze, Michael L.

    “…When modeling the volume power spectrum for a collection of randomly positioned scatterers in an impedance map, the assumption is usually made that the…”
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    Conference Proceeding
  16. 16

    Deep neural networks for ultrasound beamforming by Luchies, Adam, Byram, Brett

    “…We trained deep neural networks (DNNs) to suppress off-axis scattering. The networks operated on sub-band ultrasound channel data in the frequency domain and a…”
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    Conference Proceeding
  17. 17

    DNN Beamforming for High Contrast Targets in the Presence of Reverberation Clutter by Luchies, Adam, Byram, Brett

    “…We evaluated training deep neural network (DNN) beamformers for the task of high contrast imaging in the presence of reverberation clutter. Training data was…”
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    Conference Proceeding
  18. 18

    Using Two-Dimensional Impedance Maps to Study Acoustic Properties of Tissue Microstructure by Luchies, Adam C

    Published 2016
    “…Quantitative ultrasound (QUS) imaging represents a set of techniques for estimating acoustic properties of tissue microstructure that have confirmed potential…”
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    Dissertation
  19. 19

    Evaluating the Robustness of Ultrasound Beamforming with Deep Neural Networks by Luchies, Adam, Byram, Brett

    “…We evaluated the robustness of deep neural network (DNN) beamforming to noise, gross sound speed errors, and phase aberration. Training data was generated…”
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    Conference Proceeding
  20. 20

    Deep neural networks for ultrasound beamforming by Luchies, Adam, Byram, Brett

    “…In the past, members of our group developed a model based beamforming method called aperture domain model image reconstruction (ADMIRE). They tuned ADMIRE to…”
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    Conference Proceeding