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

Digital Poster

Quantitative Imaging: Head and Neck II

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Quantitative Imaging: Head and Neck II
Digital Poster
Acquisition & Reconstruction
Monday, 11 May 2026
Digital Posters Row B
17:05 - 18:00
Session Number: 361-06
No CME/CE Credit
This session cover quantitative MRI applications to the brain.

  Figure 361-06-001.  Myelin Loss in Olfactory–Limbic Circuits Predicts Olfactory and Memory Impairment in MCI
Anupa Ekanayake, Qing Yang, Senal Peiris, Rommy Elyan, Paul Eslinger, Sangam Kanekar, Ran Pang, Deepak Kalra, William Jens, Prasanna Karunanayaka
Penn State university, Hershey, United States of America
Impact: This work demonstrates that myelin mapping via MVF enables early detection of Alzheimer's-related network degeneration, allowing improved risk stratification in older adults with olfactory or cognitive symptoms.
  Figure 361-06-002.  Cerebral Microbleed Detection Using Clinically Feasible Multi-shot Multi-echo Echo Planar Imaging at 3T
Yujia Huang, Gaoxing Zheng, Jill Morales, Binu Thomas, Rong Zhang, Jimmy Lee, Kan Ding, David Zhu, Jiaen Liu
University of Texas Southwestern Medical Center, Dallas, United States of America
Impact: Multi-shot multi-echo 3D echo planar imaging may enhance the reliability and accuracy for detecting cerebral microbleeds after traumatic brain injury, potentially improving longitudinal assessment of small vascular injury which is associated with cognitive decline.
  Figure 361-06-003.  T1 Mapping at 7T Using Multi-Contrast MPRAGE with field-mapping correction of Inversion Efficiency and Flip Angle
Janhavi Ghosalkar, Graeme Keith, Chia-Yin Wu, Belinda Ding, Shajan Gunamony, Natasha Fullerton, David Porter
University of Glasgow, Glasgow, Scotland, United Kingdom
Impact: This work enables a stable and flexible voxel-wise $T_1$ mapping at 7T by incorporating multiple inversion times, flip angle, and inversion efficiency, supporting flexible acquisition and direct model fitting informed by $B_1^+$/$B_0$ field maps.
  Figure 361-06-004.  Accelerated MR Parameter Mapping using A Generative Network Representation
Yuanmin Miao, Ruiyang Zhao, Fan Lam, Xi Peng
University of Iowa, Iowa City, United States of America
Impact: Quantitative MRI provides objective measures for tissue characterization, disease diagnosis and treatment monitoring, but has been limited in the clinics due to long scan times. This work achieved high-quality qMRI from highly accelerated acquisitions using an efficient generative network representation.
  Figure 361-06-005.  Slice-to-slice initialization for accelerated Deep Image Prior reconstruction of 3D MRF maps
Reina Ayde, Tom Griesler, Christopher Keen, Rudy Rizzo, Jesse Hamilton, Nicole Seiberlich
University of Michigan, Ann Arbor, United States of America
Impact: We propose to accelerate DIP-MRF reconstruction of 3D datasets based on early stopping and transfer learning. Our approach proves accurate while preserving DIP-MRF scan specificity. This acceleration strategy makes DIP-MRF more practical, potentially enabling its broader adoption.
  Figure 361-06-006.  SAR-optimised and accelerated T2 mapping at 7T using the MESE sequence and an EPG-model-based reconstruction
Emilie Sleight, Ludovica Romanin, Gian Franco Piredda, Frédéric Grouiller, Tom Hilbert, Dimitrios Karampinos
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Impact: This work demonstrates accelerated and SAR-optimised T2 mapping at 7T using model-based reconstruction, enabling whole-brain quantitative mapping in clinically feasible scan times.
  Figure 361-06-007.  In vivo repeatability of fast whole-brain relaxometry with MR-STAT
Martin Schilder, Elon Wallert, Stefano Mandija, Oscar van der Heide, Edwin Versteeg, Cornelis van den Berg, Elsmarieke van de Giessen, Alessandro Sbrizzi
University Medical Center Utrecht, Utrecht, Netherlands
Impact: Our work demonstrates that MR-STAT provides highly repeatable $T_1$/$T_2$-quantification, a critical requirement for clinical implementation. This reliability ensures consistent biomarker measurement across sessions, enabling accurate monitoring of disease progression, treatment response, and longitudinal changes in individual patients.

  Figure 361-06-008.  Microstructural Assessment of Oral Squamous Cell Carcinoma Using Time-Dependent Diffusion MRI
Carlijn Jamila Guichelaar, Minea Jokivuolle, Rémi van der Woude, Hilde J. Smits, Mark Schuiveling, Gerben Breimer, Annette Van der Toorn, Kristoffer Madsen, Henrik Lundell, Faisal Mahmood, Marielle Philippens
University Medical Center Utrecht, Utrecht, Netherlands
Impact: Time-dependent diffusion contrast shows greater specificity for tumor cells and may help disentangle contributions from different cell types, providing insights into oral squamous cell carcinoma microstructure that are not captured by the conventional apparent diffusion coefficient.
  Figure 361-06-009.  B1+ Mapping Using Accelerated Actual Flip-Angle Imaging for Accurate T1 Mapping by MP2RAGE in the Brain and Cervical Cord
Elisa Saks, Kilian Weiss, Guillaume Gilbert, Stephan Kaczmarz, Benedikt Wiestler, Jan Kirschke, Christine Preibisch
TUM University Hospital, Munich, Germany
Impact: In 3D actual flip-angle imaging, reduced through-plane resolution and compressed SENSE acceleration enable a ~78% reduction in acquisition time (7:43 vs. 1:43 min). This facilitates fast transmit bias field (B1+) mapping, which is crucial for accurate T1 mapping by MP2RAGE.
  Figure 361-06-010.  Motion-resolved 3D carotid vessel wall T1 mapping: reproducibility from a 64-element head-neck to a 2-element carotid coil
Isabel Montón Quesada, Céline Hirsch, Pauline Calarnou, Jean-Baptiste LEDOUX, Jérôme Yerly, Christopher Roy, Augustin Ogier, Ruud van Heeswijk
Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
Impact: Motion-resolved free-running inversion-recovery T1 mapping with two interleaved flip angles and a top-to-bottom phyllotaxis trajectory allows for the generation of precise respiratory-resolved 3D T1 maps and gray-blood images using a clinical head-neck coil and a custom carotid coil.
  Figure 361-06-011.  Myelin imaging of the optic nerve
Hugo Albert Plante, Ameen Qadi, Agah Karakuzu, Mathieu Boudreau, Bas Rokers, Nikola Stikov
Polytechnique Montréal, Montréal, Canada
Impact: Quantitative myelin imaging of the optic nerve using MP2RAGE-derived myelin volume fraction maps enables in-vivo assessment of white-matter microstructure integrity in a small, clinically relevant tract, potentially improving monitoring of demyelinating disorders such as multiple sclerosis.
  Figure 361-06-012.  High-Resolution Fast Quantitative Magnetization Transfer Imaging at 7T in the Human Brain
Lucas Soustelle, Andreea Hertanu, Anita Masliah, Maxime Guye, Jean-Philippe Ranjeva, Guillaume Duhamel, Thomas Troalen, Olivier Girard
Aix Marseille Univ, CNRS, CRMBM, Marseille, France
Impact: Quantitative Magnetization Transfer at 7T from highly-accelerated MT-prepared SPGR sequences is implemented for the joint estimation of MPF and apparent T1 maps, yielding 0.7-mm isotropic maps of the whole human brain in 16 minutes.
  Figure 361-06-013.  Study of MT-induced T1 differences between normal controls and mild traumatic brain injury patients
Mark Bydder, Paul Condron, Olivier Girard, Tracy Melzer, Daniel Cornfeld, Maryam Tayebi, Eryn Kwon, Gil Newburn, Samantha Holdsworth, Graeme Bydder
Mātai Medical Research Institute, Gisborne, New Zealand
Impact: The incidence of mTBI is almost double that of multiple sclerosis, Parkinson’s disease, Alzheimer’s disease and stroke combined. There is no routine imaging biomarker for mTBI however recent studies indicate there is a measurable difference in T1 under MT.
  Figure 361-06-014.  Partial Diffusion for Accelerated 3D Silent Multi-Parametric Zero Echo Time Acquisition (MuPa-ZTE)
Shishuai Wang, Tessel Huibregtsen, Florian Wiesinger, Alireza Samadifardheris, Juan Hernandez-Tamames, Dirk H. J. Poot
Erasmus MC, Rotterdam, Netherlands
Impact: The proposed partial diffusion-based enhancement enables high-quality $1.1mm^3$ isotropic multi-parametric qMRI with 1.5 minutes scanning time, facilitating its integration into clinical workflows.
  Figure 361-06-015.  Design of custom multi-material hydrogel printer for multi-contrast MRI phantoms
Izabel Wu, Karthik Gopalan, Alberto Lizarraga Herrera, Ana Arias, Chunlei Liu, Michael Lustig
UC Berkeley, Berkeley, United States of America
Impact: This work introduces a multi-material MSLA printing platform for fabricating boundaryless, anatomically accurate MRI phantoms using UV-curable hydrogels with tunable contrast. The approach enables automated, reproducible production of multi-contrast phantoms, advancing accessibility and standardization in quantitative MRI calibration and validation.

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