Zobrazeno 1 - 10
of 81
pro vyhledávání: '"J. Bevington"'
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 2769-2785 (2023)
An ensemble of forecast flood inundation maps has the potential to represent the uncertainty in the flood forecast and provide a location-specific likelihood of flooding. Ensemble flood map forecasts provide probabilistic information to flood forecas
Externí odkaz:
https://doaj.org/article/ab34e1b3010b4631b373f01f70226d47
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 6:641-655
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69011e43c3498df77ba43f7ac65ab6ba
https://doi.org/10.1109/trpms.2021.3123537
https://doi.org/10.1109/trpms.2021.3123537
Publikováno v:
EJNMMI physics. 9(1)
Background Positron emission tomography (PET) images are typically noisy especially in dynamic imaging where the PET data are divided into a number of short temporal frames often with a low number of counts. As a result, image features such as contra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abd6bfcc29e60d7bdb31060d13d878e0
https://pubmed.ncbi.nlm.nih.gov/36394674
https://pubmed.ncbi.nlm.nih.gov/36394674
Publikováno v:
IEEE Transactions on Medical Imaging. 39:366-376
Application of kinetic modeling (KM) on a voxel level in dynamic PET images frequently suffers from high levels of noise, drastically reducing the precision of parametric image analysis. In this paper, we investigate the use of machine learning and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e66326c4e4285a82e07c252a31fda19
https://doi.org/10.1109/tmi.2019.2927199
https://doi.org/10.1109/tmi.2019.2927199
Autor:
Arman Rahmim, Julian C. Matthews, Vesna Sossi, Ivan S. Klyuzhin, Ronald Boellaard, Connor W. J. Bevington, Ju-Chieh Kevin Cheng
Publikováno v:
Cheng, J-C, Bevington, C, Rahmim, A, Klyuzhin, I, Matthews, J, Boellaard, R & Sossi, V 2021, ' Dynamic PET image reconstruction utilizing intrinsic data-driven HYPR4D denoising kernel ', Medical Physics, vol. 48, no. 5, pp. 2230-2244 . https://doi.org/10.1002/mp.14751
Medical Physics, 48(5), 2230-2244. AAPM-American Association of Physicists in Medicine
Medical Physics. Wiley
Medical Physics, 48(5), 2230-2244. AAPM-American Association of Physicists in Medicine
Medical Physics. Wiley
Purpose: Reconstructed PET images are typically noisy, especially in dynamic imaging where the acquired data are divided into several short temporal frames. High noise in the reconstructed images translates to poor precision/reproducibility of image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33e05d47df6e43b961b52f9855df1e90
https://research.vumc.nl/en/publications/bbf1c63c-c209-479c-85d6-ddaa1d65b61d
https://research.vumc.nl/en/publications/bbf1c63c-c209-479c-85d6-ddaa1d65b61d
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
We describe the impact of an advanced PET image reconstruction method, which achieves model/prior-free denoising while enhancing image contrast, on segmenting small PET unique features (< 5 mm in diameter) with low contrast (< 1.7: 1 contrast ratio).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83dbc020f1445e634d0388c1a355c6c8
https://doi.org/10.1109/nss/mic42677.2020.9508078
https://doi.org/10.1109/nss/mic42677.2020.9508078
Autor:
Connor W. J. Bevington, Ju-Chieh Kevin Cheng, Mariya V. Cherkasova, Catharine A. Winstanley, Vesna Sossi, Ivan S. Klyuzhin
Publikováno v:
J Cereb Blood Flow Metab
Current methods using a single PET scan to detect voxel-level transient dopamine release—using F-test (significance) and cluster size thresholding—have limited detection sensitivity for clusters of release small in size and/or having low release
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d90905057443a8db6a6d2485991451ba
https://pubmed.ncbi.nlm.nih.gov/32050828
https://pubmed.ncbi.nlm.nih.gov/32050828
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
A novel 4D denoised reconstruction, HYPR4D-K-OSEM, has recently been proposed and shown to have superior contrast recovery vs noise trade-off. These properties are well-suited to the application of detecting voxel-level transient dopamine release, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::544fc2c68bd207336bd605f3625a6616
https://doi.org/10.1109/nss/mic42101.2019.9060026
https://doi.org/10.1109/nss/mic42101.2019.9060026
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
We propose two kernelized reconstruction methods for simultaneously improving accuracy and precision for dynamic PET imaging, followed by validations using 4D simulations. One of the proposed methods utilizes an effective kernel matrix which consists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b90c578da353cdd6b2aa08719a5306d0
https://doi.org/10.1109/nss/mic42101.2019.9059924
https://doi.org/10.1109/nss/mic42101.2019.9059924
Publikováno v:
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Current methods to detect voxel-level transient dopamine release that use F-test (significance) and cluster size thresholding have poor detection sensitivity in clusters of release that are small in size and/or have low release levels. Specifically,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6be11f8cf59f5d9a6d250a5e25252bba
https://doi.org/10.1109/nss/mic42101.2019.9060006
https://doi.org/10.1109/nss/mic42101.2019.9060006