Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Adam Luchies"'
Autor:
Adam Luchies, Matthew Berger, Brett Byram, Jennifer C. Baker, Jaime Tierney, Daniel B. Brown, Christopher Khan
Publikováno v:
IEEE Trans Med Imaging
Conventional delay-and-sum (DAS) beamforming is highly efficient but also suffers from various sources of image degradation. Several adaptive beamformers have been proposed to address this problem, including more recently proposed deep learning metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::783459ce835d9203e79ff46db0be9b4d
https://doi.org/10.1109/tmi.2021.3107198
https://doi.org/10.1109/tmi.2021.3107198
Publikováno v:
IEEE Trans Ultrason Ferroelectr Freq Control
Improving ultrasound B-mode image quality remains an important area of research. Recently, there has been increased interest in using deep neural networks (DNNs) to perform beamforming to improve image quality more efficiently. Several approaches hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1139d88e25dbba02e999758680f58180
https://pubmed.ncbi.nlm.nih.gov/33684036
https://pubmed.ncbi.nlm.nih.gov/33684036
Publikováno v:
Medical Imaging 2021: Ultrasonic Imaging and Tomography.
The backscatter coefficient (BSC) quantifies the frequency-dependent reflectivity of tissues. Accurate estimation of the BSC requires knowledge of the attenuation coefficient slope (ACS) of tissues in the beam path between the transducer and the inso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dabe8677d9934941b7830ea39a6dde0
https://doi.org/10.1117/12.2580300
https://doi.org/10.1117/12.2580300
Publikováno v:
Ultrasonics
The backscatter coefficient (BSC) quantifies the frequency-dependent reflectivity of tissues. Accurate estimation of the BSC is only possible with the knowledge of the attenuation coefficient slope (ACS) of the tissues under examination. In this stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::569e1bbf37df20efc08a8c63119b1f30
https://europepmc.org/articles/PMC8985702/
https://europepmc.org/articles/PMC8985702/
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
Deep neural networks (DNNs) have previously been used to perform adaptive beamforming and improve image quality compared to conventional delay-and-sum (DAS). Although effective, low training validation loss is often not correlated to improved image q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fe595aba55f86c6f625d96a05e89b16
https://doi.org/10.1109/ius46767.2020.9251572
https://doi.org/10.1109/ius46767.2020.9251572
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
Many advanced beamforming methods have been proposed to improve ultrasound image quality compared to that generated with delay-and-sum (DAS), with increased interest in using deep learning methods. With deep learning, beamforming is typically framed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66e7fe6f7fed020e0dccbe41e84b730d
https://doi.org/10.1109/ius46767.2020.9251577
https://doi.org/10.1109/ius46767.2020.9251577
Autor:
Brett Byram, Adam Luchies
Publikováno v:
IEEE Trans Ultrason Ferroelectr Freq Control
We study training deep neural network (DNN) frequency-domain beamformers using simulated and phantom anechoic cysts and compare to training with simulated point target responses. Using simulation, physical phantom, and in vivo scans, we find that tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7606c2b25cdc0ab212ca5b227a684785
https://europepmc.org/articles/PMC9210936/
https://europepmc.org/articles/PMC9210936/
Autor:
Brett Byram, Adam Luchies
Publikováno v:
Medical Imaging 2020: Ultrasonic Imaging and Tomography.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f23556c60158ac303cf924eebb7043ac
https://doi.org/10.1117/12.2549662
https://doi.org/10.1117/12.2549662
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
MICCAI (2)
Ultrasound B-Mode images are created from data obtained from each element in the transducer array in a process called beamforming. The beamforming goal is to enhance signals from specified spatial locations, while reducing signal from all other locat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21fef0d45f05219d128da2ff0dbc2b4c
https://doi.org/10.1007/978-3-030-59713-9_40
https://doi.org/10.1007/978-3-030-59713-9_40
Autor:
Brett Byram, Adam Luchies
Publikováno v:
IEEE Transactions on Medical Imaging. 37:2010-2021
We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in ultrasound channel data. Our implementation operates in the frequency domain via the short-time Fourier transform. The inputs to the DNN consisted of the sep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21f3d31297ad7848c68adfb98049a34d
https://doi.org/10.1109/tmi.2018.2809641
https://doi.org/10.1109/tmi.2018.2809641