ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Flow

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Flow
Digital Poster
Cardiovascular
Wednesday, 14 May 2025
Exhibition Hall
13:30 -  14:30
Session Number: D-74
No CME/CE Credit

 
Computer Number: 1
3502. Comprehensive CFD Analysis of Hemodynamic Patterns in Atherosclerosis: Implications of ICA Stenosis Severity on Head and Neck Dynamics
Y. Wu, J. Ding, S. Xia, Y. Guo
Nankai University, Tianjin, China
Impact: The proposed CFD-based approach identifies hemodynamic patterns linked to AS risk and progression, offering insights into how ICA stenosis severity impacts head and neck hemodynamics, guiding clinicians in patient assessment and management.
 
Computer Number: 2
3503. Wall Shear Stress and pulmonary regurgitation before and after TPVI for repaired tetralogy of Fallot: 4D flow MRI assessement.
H. MORI, M. NAGAO, M. Jinzaki, H. Hamano
Keio University School of Medicine, Tokyo, Japan
Impact: 4D Flow MRI can assess early diastolic WSS derived from pulmonary regurgitation in repaired-Tetralogy of Fallot before TPVI, potentially serving as a new biomarker for predicting worsening of pulmonary regurgitation and considering TPVI indications.
 
Computer Number: 3
3504. Evaluation of blood flow energy loss before and after thoracic endovascular aortic repair for aneurysmal lesions using 4D Flow MRI
T. Mine, T. Sekine, M. Abe, S. Ikeda, S. Happoh, S. Ueshima, T. Tomoda, K. Iwata, K. Mine, Y. Kawase, M. Fujii, H. Hayashi, S-i Kumita
Nippon Medical School Chiba Hokusoh Hospital, Chiba, Japan
Impact: TEVAR facilitates aortic stiffness and increases the antegrade velocity at the segment of Stent-Graft implantation. These alterations were considered as the main factors promoting further energy loss, which may concern with cardiac afterload.
 
Computer Number: 4
3505. Joint magnitude and phase neural network segmentation for cine 2D Flow MRI
G. Wolkerstorfer, S. Buoso, S. Kozerke
University Zurich and ETH Zurich, Zurich, Switzerland
Impact: This work demonstrates state-of-the-art neural network-based segmentation of aortic vessels across the cardiac cycle using the nnUNet. The addition of phase data appears non-essential. The trained models will be made available, to promote reproducibility and accessibility in the field.
 
Computer Number: 5
3506. Synthetically trained convolutional neural network vessel segmentation for 4D Flow MRI
G. Wolkerstorfer, P. Dirix, S. Buoso, S. Kozerke
University Zurich and ETH Zurich, Zurich, Switzerland
Impact: This work demonstrates the advantages of synthetic datasets for training neural network segmentation of aortic vessels. The generated data and trained models will be made available to promote reproducibility and segmentation accessibility in the field.
 
Computer Number: 6
3507. Identifying Optimal Indicators of Severe Aortic Regurgitation from 4D Flow MRI with Fully-Automated Hemodynamic Analysis
E. Johnson, H. Avgousti, H. Berhane, J. Thomas, B. Allen, M. Markl, V. Appadurai
Northwestern University, Chicago, United States
Impact: This study offers a template for completely automated assessment of aortic regurgitation and shows reverse flow in the proximal descending aorta is most predictive of aortic regurgitation severity.  This may support standards for clinical evaluation of aortic regurgitation by CMR.
 
Computer Number: 7
3508. Towards cerebrovascular 5D flow MRI
L. Jacobs, J. Nestmann, D. Giese, S. Kozerke
ETH and University Zurich, Zurich, Switzerland
Impact: We demonstrate the feasibility of high-resolution cerebrovascular 5D flow MRI of venous flow, facilitating quantification of respiratory modulation of 3D velocity fields and derived hemodynamic parameters, providing a framework for improved understanding of cerebral flow dynamics.
 
Computer Number: 8
3509. Cerebral blood flow increases during light intensity aerobic exercise: a 4D flow MRI study
M. E. Moir, A. Howery, A. Spahic, Y. Coovadia, A. Corkery, N. Loggie, S. H. Gaynor-Metzinger, P. Baumhardt, J. C. Baron, K. Johnson, O. Wieben, J. Barnes
University of Wisconsin-Madison, Madison, United States
Impact: Our findings generated new knowledge regarding intracranial blood flow during aerobic exercise. Future work may explore intracranial blood flow during exercise at various intensities to better understand the optimal stimulus for increasing cerebral blood flow.
 
Computer Number: 9
3510. Impacts of Pulmonary Regurgitation on Correlations Between Radiomic Features and Left Ventricular Strains in rTOF Patients
H-Y Chang, J-H Peng, M-T Wu, K-P Weng, T-Y Huang, H-H Peng
National Tsing Hua University, Hsinchu, Taiwan
Impact: Different PR severity had differential impacts on the correlations between radiomics features and strains. The integrating radiomics features and CMR indices could improve the assessment of PR severity and LV strain function in rTOF patients.
 
Computer Number: 10
3511. SNR-efficient acquisition strategies for 2D phase contrast CMR at 0.55T
S. Kapai, Y. Tian, K. Nayak
University of Southern California, Los Angeles, United States
Impact: Flow dynamics are comparably captured by all four sequences. bSSFP PC sequences were more SNR efficient than GRE counterparts by roughly a factor of two. bSSFP Spiral acquisitions incurred unresolved flow-related artifacts.
 
Computer Number: 11
3512. Impact of transcatheter aortic valve replacement on blood flow and fluid dynamics in the aorta and brachiocephalic artery
K. Yamasaki, S. Tsuneta, M. Kanaya, S. Ishizaka, K. Kamiya, T. Nagai, T. Anzai, K. Kudo
Hokkaido University Hospital, Sapporo, Japan
Impact: 4D flow MRI revealed changes in blood flow and fluid dynamics of the AsAo and BCA before and after TAVR. 4D flow MRI may be a potential tool to comprehensively evaluate perioperative blood flow dynamics for severe AS.
 
Computer Number: 12
3513. Residual Convolutional Neural Network for Temporal Super-resolution 4D Flow MRI
P. Callmer, M. Bonini, E. Ferdian, D. Nordsletten, A. Young, A. Fyrdahl, D. Marlevi
Karolinska Institutet, Stockholm , Sweden
Impact: By showcasing the feasibility of temporal super-resolution networks, we aim to enhance 4D Flow MRI data and increase its clinical applicability. Including flow and hemodynamic parameter analysis in broader clinical applications has the potential to improve cardiovascular disease diagnosis.
 
Computer Number: 13
3514. Carotid Atherosclerosis Latency in Hypertriglyceridemic Patients Among Cardiovascular Low-Risk Individuals Using 4D Flow MRI
W. Wang, S. Fu, Y. Xiang
Guiqian International Hospital, Guiyang, China
Impact: The aim of this study was to provide insights into the clinical treatment and management of hypertriglyceridemic haematomas in patients with low cardiovascular risk.
 
Computer Number: 14
3515. Aortic and Pulmonary 3D Blood Flow Dynamics Derived from Contrast Enhanced MRA by Fluid-Physics Informed Deep-Learning
H. Berhane, D. Dushfunian, G. Martinez, T. Jacobson, A. Maroun, J. Baraboo, B. Allen, M. Markl
Northwestern University, Chicago, United States
Impact: CEMRA is a widely available, standard-of-care test. As such, this technique enables wider access to complex hemodynamic information in the aorta and pulmonary arteries that generally requires 4D flow MRI, providing better overall patient management and assessments from CEMRA.
 
Computer Number: 15
3516. 4D flow with a bSSFP approach
J. Xiang, M. Qiu, G. Galiana, I. Buber, J. Steele, D. Peters
Yale University, New Haven, United States
Impact: A 4D flow PC-SSFP was developed for more robust diastolic dysfunction evaluations, which estimated mitral inflow and valve velocity in a single scan, and demonstrated agreement with 2D measurements and spoiled GRE based 4D flow, yet improved image quality.
 
Computer Number: 16
3517. Quantifying Hepatic Arterial Blood Flow with 4D Flow MRI to Improve Transarterial Radioembolization: a Feasibility and Repeatability Study
A. van den Brekel, M. Maas, I. Spenkelink, W. van Tilburg, J. Roosen, D. Giese, N. Jin, J. Fütterer, J. Nijsen
Radboud University Medical Center, Nijmegen, Netherlands
Impact: If hepatic arterial blood flow (HABF) quantification with 4D flow MRI proves feasible and repeatable, the technique can be used to investigate the relationship between HABF and transarterial radioembolization (TARE) microsphere distribution, with the ultimate goal of improving TARE outcomes.
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