Minisymposium IV: Fluid Dynamics in Clinical Imaging

Presentations

• Aortic hemodynamics in health and disease: validation of fluid structure interaction simulations against 4D flow magnetic resonance imaging

  ORAL · Invited

  Nov. 21, 2023, 8:00 AM – Nov. 21, 2023, 8:26 AM

  Publication: Ingrid S Lan, Ju Liu, Weiguang Yang, Judith Zimmermann, Daniel B Ennis, Alison L Marsden, "Validation of the Reduced Unified Continuum Formulation Against In Vitro 4D-Flow MRI," Annals of Biomedical Engineering, Vol 51(2), 2023.

  Presenters

  • Alison L Marsden

    • Stanford University
    • Institute for Computational and Mathematical Engineering, Stanford University; Stanford Cardiovascular Institute; Department of Pediatrics (Cardiology), Stanford University
    • Stanford Univ

  Authors

  • Alison L Marsden

    • Stanford University
    • Institute for Computational and Mathematical Engineering, Stanford University; Stanford Cardiovascular Institute; Department of Pediatrics (Cardiology), Stanford University
    • Stanford Univ

  • Daniel B Ennis

    • Stanford University

  • Kathrin Baeumler

    • Stanford University

  • Judith Zimmerman

    • UCSF

  • Ingrid S Lan

    • SpaceX

  • Ju Liu

    • SUST

  • Dominic Fleischmann

    • Stanford University

  View abstract →

• Techniques for estimation of model parameters in computational hemodynamics

  ORAL · Invited

  Nov. 21, 2023, 8:26 AM – Nov. 21, 2023, 8:52 AM

  Publication: [1]. C.J. Arthurs, N. Xiao, P. Moireau, T. Schaeffter, C. A. Figueroa. "A flexible framework for sequential estimation of model parameters in computational hemodynamics". Advanced Modeling & Simulation in Engineering Sciences. DOI: 10.1186/s40323-020-00186-x.
  [2] C.J. Arthurs, R. Khlebnikov, … , C.A. Figueroa. "CRIMSON: An open-source Software Framework for Cardiovascular Integrated Modelling and Simulation". PLOS: Computational Biology. DOI: 10.1371/journal.pcbi.1008881.
  [3] K. Iyer, C.P. Najarian, …, C.A. Figueroa. "AngioNet: A Convolutional Neural Network for Vessel Segmentation in X-ray Angiography". Scientific Reports. DOI: 10.1038/s41598-021-97355-8.
  

  Presenters

  • Carlos Figueroa

    • University of Michigan

  Authors

  • Carlos Figueroa

    • University of Michigan

  View abstract →

• Flow Dynamics in Clinical Imaging – A Practical Review of Manifestations, Exploitations, and Specific Interrogations

  ORAL · Invited

  Nov. 21, 2023, 8:52 AM – Nov. 21, 2023, 9:05 AM

  Presenters

  • Joseph R Leach

    • University of California, San Francisco

  Authors

  • Joseph R Leach

    • University of California, San Francisco

  View abstract →

• Cerebral Ischemic Injury during Extracorporeal Membrane Oxygenation Detected by Ultrasound Localization Microscopy of the Microvascular Flow

  ORAL · Invited

  Nov. 21, 2023, 9:05 AM – Nov. 21, 2023, 9:18 AM

  Presenters

  • Zeng Zhang

    • Johns Hopkins University

  Authors

  • Zeng Zhang

    • Johns Hopkins University

  • Misun Hwang

    • Children's Hospital of Philadelphia

  • Colbey Freeman

    • Children's Hospital of Philadelphia

  • Laith Sultan

    • Children's Hospital of Philadelphia

  • Sophie Haddad

    • Children's Hospital of Philadelphia

  • Todd Kilbaugh

    • Children's Hospital of Philadelphia

  • Joseph Katz

    • Johns Hopkins University

  View abstract →

• Topological Flow Data Analysis for Blood Flows Inside a Heart

  ORAL · Invited

  Nov. 21, 2023, 9:18 AM – Nov. 21, 2023, 9:31 AM

  Publication: This result will soon be published in SIAM Journal on Imaging Science,

  Presenters

  • Takashi Sakajo

    • Kyoto Univ

  Authors

  • Takashi Sakajo

    • Kyoto Univ

  • Keiichi Itatani

    • Nagoya City University

  View abstract →

• Hemodynamics of Coarctation of the Aorta - 4D Flow MRI Based Modeling Approach.

  ORAL · Invited

  Nov. 21, 2023, 9:31 AM – Nov. 21, 2023, 9:44 AM

  Presenters

  • Alejandro Roldán-Alzate

    • University of Wisconsin - Madison

  Authors

  • Alejandro Roldán-Alzate

    • University of Wisconsin - Madison

  View abstract →

• Machine learning-enhanced image-based blood flow modeling

  ORAL · Invited

  Nov. 21, 2023, 9:44 AM – Nov. 21, 2023, 9:57 AM

  Presenters

  • Amirhossein Arzani

    • University of Utah

  Authors

  • Amirhossein Arzani

    • University of Utah

  View abstract →

• Validation of image-based direct numerical simulations of right ventricle against 4D flow

  ORAL · Invited

  Nov. 21, 2023, 9:57 AM – Nov. 21, 2023, 10:10 AM

  Presenters

  • Ibrahim N Yildiran

    • George Washington University

  Authors

  • Ibrahim N Yildiran

    • George Washington University

  • Francesco Capuano

    • Universitat Politècnica de Catalunya BarcelonaTech
    • Universitat Politecnica de Catalunya

  • Yue-Hin Loke

    • Children's National Medical Center
    • Children's National Hospital

  • Laura Olivieri

    • Children's Hospital of Pittsburgh, UPMC

  • Elias Balaras

    • George Washington University

  View abstract →

• Learning Bayesian digital twins of flows from PC-MRI data

  ORAL · Invited

  Nov. 21, 2023, 10:10 AM – Nov. 21, 2023, 10:23 AM

  Publication: https://doi.org/10.1017/jfm.2022.503
  https://doi.org/10.1109/TIP.2022.3228172

  Presenters

  • Alexandros Kontogiannis

    • University of Cambridge

  Authors

  • Alexandros Kontogiannis

    • University of Cambridge

  • Matthew P Juniper

    • Univ of Cambridge

  View abstract →

• 4D flow MRI error analysis and segmentation using principles of fluid dynamics

  ORAL · Invited

  Nov. 21, 2023, 10:23 AM – Nov. 21, 2023, 10:36 AM

  Publication: Rothenberger et al, "Modeling Bias Error in 4D flow MRI Velocity Measurements", IEEE Transactions on Medical Imaging, 2022
  Rothenberger et al, "Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity", IEEE Transactions on Medical Imaging, 2023

  Presenters

  • Vitaliy L Rayz

    • Purdue University

  Authors

  • Vitaliy L Rayz

    • Purdue University

  • Sean M Rothenberger

    • Purdue University

  • Michael Markl

    • Northwestern University

  • Pavlos P. P Vlachos

    • Purdue University

  View abstract →