Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

Pulse Sequences with a Focus on Quantitative Imaging

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Pulse Sequences with a Focus on Quantitative Imaging
Digital Poster
Acquisition & Reconstruction
Tuesday, 12 May 2026
Digital Posters Row G
13:40 - 14:35
Session Number: 466-03
No CME/CE Credit
Pulse sequence advances with a focus on quantitative imaging.

  Figure 466-03-001.  Quantitative T1 and T2 Mapping of Rabbit Knees after Focal Radiation: Effects of 1% Gd Immersion and Post-Treatment Interval
Yanping Sun, Camilo Perdomo-Luna, Laura Santos, Luis Riera-Soler, Ingrid Galvis, Diego Jaramillo, Ola Kvist
Columbia University Irving Medical Center, New York, United States of America
Impact: High-field ex vivo MRI with standardized Gd immersion enables reproducible quantitative mapping of radiation-induced skeletal changes. The method identifies early, region-specific sensitivity in the growth plate and metaphysis, providing a translational model for evaluating radiation effects on developing bone.
  Figure 466-03-002.  Comparative Vascular Imaging with Gadopiclenol and Gadolinium in Cardiac MRI using Ultrashort Echo Time (UTE) Sequence.
Mohammad Mehdi, Sukran Erdem, Sara Alhousseiny, Lauren Thai, Tarek Alsaied, Franz Greil, Tarique Hussain, Qing Zou
University of Texas Southwestern Medical Center, Dallas, United States of America
Impact: Integrating high-relaxivity gadopiclenol contrast with UTE sequences allows robust vascular imaging offering a clinically feasible, time-efficient, and dose-sparing alternative for cardiovascular MRI.
  Figure 466-03-003.  Placental stiffness determined by virtual MR Elastography throughout gestation
Kelly Payette, Ruth O'Gorman Tuura, Raimund Kottke, Andras Jakab
University Children's Hospital Zurich, Zurich, Switzerland
Impact: Placental stiffness is an important indicator of a healthy pregnancy, and virtual MR Elastography can be used to measure placental stiffness throughout gestation using IVIM.
  Figure 466-03-004.  Multicenter Assessment of Open-MOLLI: A Cross-Vendor T1 Mapping Study
Andreia Gaspar, Neil Stewart, Jon-Fredrik Nielsen, Chenwei Tang, Paul Hughes, Martin Schwartz, Simon Thalén, Carlos Castillo-Passi, Daniel Ennis, Jim Wild, Thomas Küstner, Teresa Correia, Rita Nunes
Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
Impact: The study of vendor-neutral quantitative MR Open-MOLLI sequence reproducibility across vendors and sites will help clarify their impact on cardiac T1-mapping standardization. This will facilitate future multi-center studies, enhancing reproducibility and clinical translation of quantitative MRI.
  Figure 466-03-005.  Visualization of Glymphatic Flow Using IR-Prepared GRE Diffusion and Directional ΔS Mapping
Se-Hong Oh, Ken Sakaie, Gawon Lee, Stephen Jones, Mark Lowe
Hankuk university of Foreign Studies, gyeonggi-do, Korea, Republic of
Impact: This study introduces an IR-prepared GRE diffusion approach with directional ΔS mapping, enabling non-invasive visualization of slow perivascular fluid motion. It provides a framework for quantifying glymphatic transport dynamics and may facilitate early detection of impaired clearance in neurodegenerative diseases.
  Figure 466-03-006.  Myelin Water Fraction map generated from 3D Quantitative Transient-state Imaging using a multi-compartment dictionary
Ilaria Neri, Noemi Sgambelluri, Laura Nunez-Gonzalez, Dirk H. J. Poot, Matteo Cencini, Marta Lancione, Laura Biagi, Michela Tosetti, Maria Picchio, Arturo Chiti, Cristina Baldoli, Juan Hernandez-Tamames, Paola Scifo
IRCCS San Raffaele Scientific Institute, Milan, Italy
Impact: This work may suggest a higher spatial-resolution alternative of myelin water fraction maps compared to current quantitative MRI most used methods, potentially enabling a more accurate evaluation of brain development and white matter diseases.
  Figure 466-03-007.  Towards an Open Face Head-Neck MRI Coil Using Optically Transparent Anterior Channels for Pediatric Brain-Spinal Cord Imaging
Miheer Mayekar, Trong-Kha Truong, Jacob Adams, Michael Dickey
North Carolina State University, Raleigh, United States of America
Impact: Open-face head-neck MRI coils experience a significant reduction in SNR in the midline parts of the brain and the spinal cord. Results suggest that an acceptable SNR in the regions of interest can be achieved using optically transparent anterior channels.
  Figure 466-03-008.  MRI in Clinical Practice: Non-Contrast BOOST MRI for Left Atrial Appendage Thrombus Detection as a Clinical Alternative
Mingwei Sun, Jing Qin, Kai Wang, Ye Li, Jing An, Karl Kunze, Rene Botnar, Claudia Prieto, Lin Lin, Bin Sun
Fujian Medical University Union Hospital, Fuzhou, China
Impact: Left atrial appendage thrombi are typically diagnosed by transesophageal echocardiography or CTA. Non-contrast BOOST MRI provides a vital alternative for diagnosis when standard methods are contraindicated, such as in critically ill or renally impaired patients.
  Figure 466-03-009.  High-Resolution MRI on a 3T Ultra-High-Performance Gradient System Enables Accurate Diagnosis and Surgical Planning of IPMN
Liang Zhu, Xianlin Han, Yueluan Jiang, Xiaoye Wang, Feng Feng
Peking Union Medical College Hospital, Beijing, China
Impact: High-resolution MRI on ultra-high-performance gradient scanner enables precise diagnosis and preoperative assessment of intraductal papillary mucinous neoplasms (IPMN) by accurately delineating lesion extent and high-risk regions, which is helpful to guide surgical planning and preserve pancreatic function.
  Figure 466-03-010.  Simulation of gradient waveforms using a temporal convolutional network for low-field MRI
Anais Artiges, David Leitão, Tom O'Reilly, Andrew Webb, Shaihan Malik
King's College London, London, United Kingdom
Impact: Low-field MRI offers a powerful opportunity to make MRI technology accessible in settings where it is currently unavailable. We propose using a temporal convolutional network to simulate gradient waveforms in low-field MRI systems, enabling their efficient optimization.
  Figure 466-03-011.  DL-ZTE for structure-function lung imaging in healthy volunteers: Comparison to UTE and conventional ZTE
Amy Simmons, José de Arcos, Sagar Mandava, Jim Wild, Neil Stewart
The University of Sheffield, Sheffield, United Kingdom
Impact: Deep-learning reconstruction enhances ZTE lung MRI quality, boosting SNR to levels comparable to UTE. Structural and functional images can be reconstructed from a single free-breathing ZTE scan. ZTE’s lower acoustic noise than UTE makes it ideal for paediatric lung imaging.
  Figure 466-03-012.  MR-IQ metric: A new Reference-Free Metric for Quantitative MR Image Quality Assessment
Georgia Kanli, Selma Boudissa, Salah Gamizi, Varélie Palissot, Radovan Jirik, Olivier Keunen
Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg
Impact: MR-IQ introduces an open, MRI-specific quality metric that promotes reproducible research, facilitates cross-site harmonization, and supports the creation of benchmark datasets for AI-driven image reconstruction and artefact correction.
  Figure 466-03-013.  Comparing 3D radial phyllotaxis and stack-of-stars trajectories for free-breathing liver imaging
Anh Van, Martin Nicoletti, Marco Mueller, Stanislas Rapacchi, Isabel Montón Quesada, Ilaria Brovedani, Jean-Baptiste LEDOUX, Augustin Ogier, Ruud van Heeswijk, Jérôme Yerly, Matthias Stuber
CIBM Center for BioMedical Imaging, Lausanne, Switzerland
Impact: This study highlights that with the same number of total radial spokes, 3D radial phyllotaxis offers reduced structured artifacts due to undersampling compared to stack-of-stars (SOS), suggesting its potential to enhance imaging quality in free-breathing liver MRI.
  Figure 466-03-014.  Multi-slice-angle BOLD for spatial-dependent optimal signal: Does only susceptibility matter?
Will Foran, Chan-Hong Moon
University of Pittsburgh, Pittsburgh, United States of America
Impact: Onsite measurement of the optimal slice angle in BOLD per subject and various targeting regions could be useful for psychiatry or neurodegenerative disease research which needs functional mapping in anterior temporal lobe and ventral pre-frontal cortex.

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