Tuesday, November 22, 2022
8:00AM - 8:13AM
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U01.00001: Physics-based enhancement of flow biomarkers quantification from 4D flow imaging
Fancesco Capuano, Yue-Hin Loke, Ibrahim Yildiran, Laura Olivieri, Elias Balaras
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Tuesday, November 22, 2022
8:13AM - 8:26AM
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U01.00002: Input parametrized physics-informed neural networks for super-resolution of hemodynamic flow images
Roshan M D'Souza
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Tuesday, November 22, 2022
8:26AM - 8:39AM
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U01.00003: Use of 4D Murine Ultrasound to Estimate External Tissue Support Parameters from Fluid-Structure Interaction Models of the Murine Thoracic Aortae
Invited Speaker:
Craig J Goergen
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Tuesday, November 22, 2022
8:39AM - 8:52AM
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U01.00004: Physics-enhanced velocimetry (PEV) for joint reconstruction and segmentation of noisy velocity images
Matthew P Juniper, Alexandros Kontogiannis, Andrew J Sederman, Scott V Elgersma
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Tuesday, November 22, 2022
8:52AM - 9:05AM
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U01.00005: Physics-Informed Compressed Sensing (PICS) for joint reconstruction and segmentation of sparse PC-MRI signals: a digital-twin approach
Alexandros Kontogiannis, Matthew P Juniper
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Tuesday, November 22, 2022
9:05AM - 9:18AM
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U01.00006: Preferential Flow Into Liver Tumors Based On Multimodal Image Analysis For Pre-treatment Planning Of Radioembolization Therapy
Summer Andrews, Premal Trivedi, Debanjan Mukherjee
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Tuesday, November 22, 2022
9:18AM - 9:31AM
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U01.00007: Imaging and Enhancing Cerebrospinal Fluid Flow with In silico, In vitro and In vivo Studies
Neal M Patel, Emily R Bartusiak, Sean M Rothenberger, Amy J Schwichtenberg, Edward J Delp, Vitaliy L Rayz
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Tuesday, November 22, 2022
9:31AM - 9:44AM
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U01.00008: Non-Invasive Assessment of the Lower Urinary Tract – MRI Urodynamics
Invited Speaker:
Alejandro Roldán-Alzate
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Tuesday, November 22, 2022
9:44AM - 9:57AM
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U01.00009: Bayesian Segmentation of 4D Flow MRI Data Based on Flow Physics
Sean M Rothenberger, Neal M Patel, Jiacheng Zhang, Bruce A Craig, Sameer A Ansari, Michael Markl, Pavlos vlachos, Vitaliy L Rayz
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Tuesday, November 22, 2022
9:57AM - 10:10AM
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U01.00010: Multitasks convolutional networks for medical image segmentation and regression.
Daniele E Schiavazzi, Lauren Partin, Carlos A Sing-Long Collao
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