Search Results - "Luchies, Adam"
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1
Deep Neural Networks for Ultrasound Beamforming
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
Assessing the Robustness of Frequency-Domain Ultrasound Beamforming Using Deep Neural Networks
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-11-2020)“…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
Evaluating Input Domain and Model Selection for Deep Network Ultrasound Beamforming
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-07-2021)“…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
Effects of the container on structure function with impedance map analysis of dense scattering media
Published in The Journal of the Acoustical Society of America (01-04-2018)“…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
Using two-dimensional impedance maps to study weak scattering in sparse random media
Published in The Journal of the Acoustical Society of America (01-04-2016)“…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
Temperature dependent ultrasonic characterization of biological media
Published in The Journal of the Acoustical Society of America (01-10-2011)“…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
Backscatter Coefficient Estimation Using Tapers with Gaps
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
Quantitative ultrasonic characterization of diffuse scatterers in the presence of structures that produce coherent echoes
Published in IEEE transactions on ultrasonics, ferroelectrics, and frequency control (01-05-2012)“…Quantitative ultrasound (QUS) techniques that parameterize the backscattered power spectrum have demonstrated significant promise for ultrasonic tissue…”
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Journal Article -
9
Backscatter coefficient estimation using tapers with gaps
Published in The Journal of the Acoustical Society of America (01-10-2014)“…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
Using two-dimensional impedance maps to study weak scattering in isotropic random media
Published in The Journal of the Acoustical Society of America (01-10-2014)“…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
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data
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
Advanced beamforming for improved functional assessment in echocardiography
Published in The Journal of the Acoustical Society of America (01-03-2019)“…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
Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding
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
Physics and data driven models for ultrasound image reconstruction
Published in 2017 51st Asilomar Conference on Signals, Systems, and Computers (01-10-2017)“…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
Modeling volume power spectra for collections of spheres in a finite container
Published in 2013 IEEE International Ultrasonics Symposium (IUS) (01-07-2013)“…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
Deep neural networks for ultrasound beamforming
Published in 2017 IEEE International Ultrasonics Symposium (IUS) (01-09-2017)“…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
DNN Beamforming for High Contrast Targets in the Presence of Reverberation Clutter
Published in 2019 IEEE International Ultrasonics Symposium (IUS) (01-10-2019)“…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
Using Two-Dimensional Impedance Maps to Study Acoustic Properties of Tissue Microstructure
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 -
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Evaluating the Robustness of Ultrasound Beamforming with Deep Neural Networks
Published in 2018 IEEE International Ultrasonics Symposium (IUS) (01-10-2018)“…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
Deep neural networks for ultrasound beamforming
Published in 2017 IEEE International Ultrasonics Symposium (IUS) (01-09-2017)“…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