Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Timothy P Szczykutowicz"'
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0258481 (2021)
PurposePrevious efforts at increasing spatial resolution have relied on decreasing focal spot and or detector element size. Many "super resolution" methods require physical movement of a component of the imaging system. This work describes a method f
Externí odkaz:
https://doaj.org/article/217d4e82ea984c8ca96290858b94b98a
Autor:
Carlos A. Reynoso-Mejia, Jonathan Troville, Martin G. Wagner, Bernice Hoppel, Fred T. Lee, Timothy P. Szczykutowicz
Publikováno v:
BMC Biomedical Engineering, Vol 6, Iss 1, Pp 1-9 (2024)
Abstract Background MAR algorithms have not been productized in interventional imaging because they are too time-consuming. Application of a beam hardening filter can mitigate metal artifacts and doesn’t increase computational burden. We evaluate t
Externí odkaz:
https://doaj.org/article/b580e9a7922649d78551703f13cfedeb
Autor:
Annie M. Zlevor, Meridith A. Kisting, Allison B. Couillard, Annika E. Rossebo, Timothy P. Szczykutowicz, Lu Mao, James K. White, Michael P. Hartung, Lori Mankowski Gettle, J. Louis Hinshaw, Perry J. Pickhardt, Timothy J. Ziemlewicz, Marcia L. Foltz, Fred T. Lee
Publikováno v:
Journal of Vascular and Interventional Radiology. 34:910-918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df8d3f5906b96e83b6c0a48c7adfc983
https://doi.org/10.1016/j.jvir.2023.01.024
https://doi.org/10.1016/j.jvir.2023.01.024
Publikováno v:
Journal of Computer Assisted Tomography. 47:437-444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17eca50833520d48e8a9c92b0a291b24
https://doi.org/10.1097/rct.0000000000001442
https://doi.org/10.1097/rct.0000000000001442
Autor:
Timothy P. Szczykutowicz, Moiz Ahmad, Xinming Liu, Myron A. Pozniak, Meghan G. Lubner, Corey T. Jensen
Publikováno v:
Journal of Computer Assisted Tomography. 47:429-436
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2fe669f78e46da066f3f4b379b1c2f4
https://doi.org/10.1097/rct.0000000000001441
https://doi.org/10.1097/rct.0000000000001441
Publikováno v:
Journal of Computer Assisted Tomography. 47:315-321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dd9d31c15c8e9062025d8c893c63ad7
https://doi.org/10.1097/rct.0000000000001412
https://doi.org/10.1097/rct.0000000000001412
Autor:
Jevin Lortie, Grace Gage, Benjamin Rush, Steven B. Heymsfield, Timothy P. Szczykutowicz, Adam J. Kuchnia
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle. 13:2807-2819
Computed tomography (CT) is a valuable assessment method for muscle pathologies such as sarcopenia, cachexia, and myosteatosis. However, several key underappreciated scan imaging parameters need consideration for both research and clinical use, speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93bc3a6a965253b20a8083e1a1d398ab
https://doi.org/10.1002/jcsm.13068
https://doi.org/10.1002/jcsm.13068
A Review of Deep Learning CT Reconstruction: Concepts, Limitations, and Promise in Clinical Practice
Publikováno v:
Current Radiology Reports. 10:101-115
Purpose of Review Deep Learning reconstruction (DLR) is the current state-of-the-art method for CT image formation. Comparisons to existing filter back-projection, iterative, and model-based reconstructions are now available in the literature. This r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ed5f321b6dfb9dead15de3d1ec6fc56
https://doi.org/10.1007/s40134-022-00399-5
https://doi.org/10.1007/s40134-022-00399-5
Autor:
Aria M. Salyapongse, Sean D. Rose, Perry J. Pickhardt, Meghan G. Lubner, Giuseppe V. Toia, Robert Bujila, Zhye Yin, Scott Slavic, Timothy P. Szczykutowicz
Publikováno v:
American Journal of Roentgenology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::311cc3d14305d5e9e04d51b890634cf1
https://doi.org/10.2214/ajr.23.29463
https://doi.org/10.2214/ajr.23.29463
Autor:
Erika J. Wood, Nicholas Stabo, John W. Garret, Sean Rose, Carrie Bartels, Timothy P. Szczykutowicz, Greg Avey, Lu Mao, Meghan G. Lubner
Publikováno v:
Journal of Computer Assisted Tomography.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e44e19605f58f8a392a923d87850e9fe
https://doi.org/10.1097/rct.0000000000001449
https://doi.org/10.1097/rct.0000000000001449