Focus Session: The Fluid Dynamics of Medical Imaging II
FOCUS · U01 · ID: 683223
Presentations
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Physics-based enhancement of flow biomarkers quantification from 4D flow imaging
ORAL
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Presenters
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Fancesco Capuano
Universitat Politècnica de Catalunya BarcelonaTech
Authors
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Fancesco Capuano
Universitat Politècnica de Catalunya BarcelonaTech
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Yue-Hin Loke
Children's National Hospital, Children's National Medical Center
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Ibrahim Yildiran
George Washington University
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Laura Olivieri
Children's National Hospital, Children's National Medical Center
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Elias Balaras
George Washington University, George Washington Univ
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Input parametrized physics-informed neural networks for super-resolution of hemodynamic flow images
ORAL
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Presenters
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Roshan M D'Souza
University of Wisconsin - Milwaukee
Authors
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Roshan M D'Souza
University of Wisconsin - Milwaukee
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Use of 4D Murine Ultrasound to Estimate External Tissue Support Parameters from Fluid-Structure Interaction Models of the Murine Thoracic Aortae
ORAL · Invited
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Publication: Shidhore TC, Cebull HL, Madden MC, Christov IC, Rayz VL, Goergen CJ. Estimating external tissue support parameters with fluid-structure interaction models from 4D ultrasound of murine thoracic aortae. Paper in review.
Presenters
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Craig J Goergen
Purdue University
Authors
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Tanmay C Shidhore
Purdue University
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Hannah L Cebull
Purdue University
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Megan C Madden
Purdue University
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Ivan C Christov
Purdue University
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Vitaliy L Rayz
Purdue University, Purdue
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Craig J Goergen
Purdue University
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Physics-enhanced velocimetry (PEV) for joint reconstruction and segmentation of noisy velocity images
ORAL
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Publication: J. Fluid Mech. (2022), vol. 944, A40, doi:10.1017/jfm.2022.503
Presenters
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Matthew P Juniper
Univ of Cambridge, University of Cambridge
Authors
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Matthew P Juniper
Univ of Cambridge, University of Cambridge
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Alexandros Kontogiannis
University of Cambridge
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Andrew J Sederman
University of Cambridge
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Scott V Elgersma
University of Cambridge
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Physics-Informed Compressed Sensing (PICS) for joint reconstruction and segmentation of sparse PC-MRI signals: a digital-twin approach
ORAL
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Publication: https://arxiv.org/abs/2207.01466v1<br>https://doi.org/10.1017/jfm.2022.503
Presenters
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Alexandros Kontogiannis
University of Cambridge
Authors
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Alexandros Kontogiannis
University of Cambridge
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Matthew P Juniper
Univ of Cambridge, University of Cambridge
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Preferential Flow Into Liver Tumors Based On Multimodal Image Analysis For Pre-treatment Planning Of Radioembolization Therapy
ORAL
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Presenters
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Debanjan Mukherjee
University of Colorado Boulder, Paul M Rady Department of Mechanical Engineering, University of Colorado Boulder
Authors
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Summer Andrews
University of Colorado Boulder
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Premal Trivedi
University of Colorado Anschutz Medical Campus
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Debanjan Mukherjee
University of Colorado Boulder, Paul M Rady Department of Mechanical Engineering, University of Colorado Boulder
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Imaging and Enhancing Cerebrospinal Fluid Flow with In silico, In vitro and In vivo Studies
ORAL
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Presenters
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Neal M Patel
Purdue University
Authors
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Neal M Patel
Purdue University
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Emily R Bartusiak
Purdue University
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Sean M Rothenberger
Purdue University
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Amy J Schwichtenberg
Purdue University
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Edward J Delp
Purdue University
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Vitaliy L Rayz
Purdue University, Purdue
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Non-Invasive Assessment of the Lower Urinary Tract – MRI Urodynamics
ORAL · Invited
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Presenters
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Alejandro Roldán-Alzate
University of Wisconsin - Madison
Authors
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Alejandro Roldán-Alzate
University of Wisconsin - Madison
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Bayesian Segmentation of 4D Flow MRI Data Based on Flow Physics
ORAL
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Presenters
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Sean M Rothenberger
Purdue University
Authors
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Sean M Rothenberger
Purdue University
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Neal M Patel
Purdue University
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Jiacheng Zhang
Purdue University
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Bruce A Craig
Purdue University
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Sameer A Ansari
Northwestern University
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Michael Markl
Northwestern University
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Pavlos P Vlachos
Purdue University, Purdue
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Vitaliy L Rayz
Purdue University, Purdue
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Multitasks convolutional networks for medical image segmentation and regression.
ORAL
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Presenters
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Daniele E Schiavazzi
University of Notre Dame
Authors
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Daniele E Schiavazzi
University of Notre Dame
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Lauren Partin
University of Notre Dame
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Carlos A Sing-Long Collao
Pontifical Catholic University of Chile
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