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pro vyhledávání: '"Orkild, Benjamin A"'
Autor:
Sultan, K M Arefeen, Hisham, Md Hasibul Husain, Orkild, Benjamin, Morris, Alan, Kholmovski, Eugene, Bieging, Erik, Kwan, Eugene, Ranjan, Ravi, DiBella, Ed, Elhabian, Shireen
The accurate evaluation of left atrial fibrosis via high-quality 3D Late Gadolinium Enhancement (LGE) MRI is crucial for atrial fibrillation management but is hindered by factors like patient movement and imaging variability. The pursuit of automated
Externí odkaz:
http://arxiv.org/abs/2407.07254
Autor:
Sultan, K M Arefeen, Orkild, Benjamin, Morris, Alan, Kholmovski, Eugene, Bieging, Erik, Kwan, Eugene, Ranjan, Ravi, DiBella, Ed, Elhabian, Shireen
Accurate assessment of left atrial fibrosis in patients with atrial fibrillation relies on high-quality 3D late gadolinium enhancement (LGE) MRI images. However, obtaining such images is challenging due to patient motion, changing breathing patterns,
Externí odkaz:
http://arxiv.org/abs/2310.08805
Autor:
Iyer, Krithika, Morris, Alan, Zenger, Brian, Karanth, Karthik, Orkild, Benjamin A, Korshak, Oleksandre, Elhabian, Shireen
Statistical shape modeling (SSM) is a valuable and powerful tool to generate a detailed representation of complex anatomy that enables quantitative analysis and the comparison of shapes and their variations. SSM applies mathematics, statistics, and c
Externí odkaz:
http://arxiv.org/abs/2209.02706
Akademický článek
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Akademický článek
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Autor:
Paccione EN; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA.; Scientific Computing and Imaging Institute, Salt Lake City, USA., Lange M; Cardiovascular Research and Training Institute, Salt Lake City, USA., Orkild BA; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA.; Scientific Computing and Imaging Institute, Salt Lake City, USA., Bergquist JA; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA.; Scientific Computing and Imaging Institute, Salt Lake City, USA., Kwan E; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA., Hunt B; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA., Dosdall D; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA., Macleod RS; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA.; Scientific Computing and Imaging Institute, Salt Lake City, USA., Ranjan R; University of Utah Department of Biomedical Engineering, Salt Lake City, USA.; Cardiovascular Research and Training Institute, Salt Lake City, USA.
Publikováno v:
Computing in cardiology [Comput Cardiol (2010)] 2023 Oct; Vol. 2023. Date of Electronic Publication: 2023 Dec 26.
Autor:
Iyer K; University of Utah, School of Computing, Salt Lake City, UT, USA.; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA., Morris A; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA., Zenger B; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA.; University of Utah School of Medicine, Salt Lake City, UT, USA., Karanth K; University of Utah, School of Computing, Salt Lake City, UT, USA.; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA., Orkild BA; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA.; University of Utah, Department of Biomedical Engineering, Salt Lake City, UT, USA., Korshak O; University of Utah, School of Computing, Salt Lake City, UT, USA.; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA., Elhabian S; University of Utah, School of Computing, Salt Lake City, UT, USA.; University of Utah, Scientific Computing and Imaging Institute, Salt Lake City, UT, USA.
Publikováno v:
Statistical atlases and computational models of the heart. STACOM (Workshop) [Stat Atlases Comput Models Heart] 2022 Sep; Vol. 13593, pp. 302-316. Date of Electronic Publication: 2023 Jan 28.