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

Traditional Poster

ISMRM AMPC Selected Posters

Back to the Program-at-a-Glance

ISMRM AMPC Selected Posters
Traditional Poster
Central Office
Sunday, 10 May 2026
Traditional Posters
07:00 - 14:00
Session Number: 271-01
No CME/CE Credit
Abstracts that the ISMRM Annual Meeting Planning Committee wish to highlight in the program. These posters are on display in the Exhibition Hall; however, there is no poster session for the AMPC Highlights. To attend the scientific presentation, please look in the program for the presentation date and time.

  Figure 271-01-001.  Online 3D-MRF for Population-Scale Quantitative Neuroimaging: A 3,849-Exam Clinical Deployment
Summa Cum Laude AMPC Selected
Andrew Dupuis, Rasim Boyacioglu, Yong Chen, Jeffrey Sunshine, Chaitra Badve, Mark Griswold
Case Western Reserve University, Cleveland, United States of America
Impact: This 3,849-exam clinical deployment demonstrates population-scale quantitative relaxometry through automated online 3D-MRF integrated with PACS and EHR systems. Linking tissue parameter maps with clinical metadata enables systematic retrospective cohort analysis previously limited by manual workflows and qualitative imaging.
  Figure 271-01-002.  High-SNR Whole-Brain Mesoscale Diffusion MRI Using Rotating-View Acquisitions (ROVER-dMRI)
Summa Cum Laude AMPC Selected
Qiang Liu, Yunqi Wang, Yiang Pan, Hwihun Jeong, Carl-Fredrik Westin, Lauren O’Donnell, Berkin Bilgic, Ante Zhu, Thomas Foo, Kawin Setsompop, Deniz Erdogmus, Lipeng Ning, Yogesh Rathi
Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
Impact: ROVER-dMRI integrates thick-slice acquisitions for intrinsically high SNR with an implicit neural representation (INR) for continuous, noise-robust super-resolution reconstruction. This approach enables submillimeter dMRI with superior fidelity and structural delineation, greatly benefiting microstructural and connectivity analysis of fine-scale brain architecture.
  Figure 271-01-003.  Motion-robust biventricular cardiac function assessment via novel 4D CINE by real-time MRI and slice-to-volume reconstruction
AMPC Selected
Ye Tian, Jon Detterich, Anand Joshi, John Wood, Krishna Nayak
University of Southern California, Los Angeles, United States of America
Impact: The RT-SVR approach enables 1mm3 4D cardiac CINE with zero patient corporation, with compatible bi-ventricular volumes, contrast, and sharpness compared to breath-hold CINE. This approach may benefit patients that are non-cooperative, children, and those with irregular breathing and/or arrhythmia.
  Figure 271-01-004.  Effect of gradient non-linearity correction on whole leg Diffusion tensor imaging
AMPC Selected
Martijn Froeling, Linda Heskamp
University Medical Center Utrecht, Utrecht, Netherlands
Impact: Voxel-wise correction of gradient non-linearities is crucial for accurate muscle DTI. It reduces MD bias, minimizes orientation-dependent FA errors, and improves tractography reliability, ensuring reproducible whole-leg analyses and enabling more robust biomarkers for muscle microstructure in health and disease.
  Figure 271-01-005.  Distinct pressure- and flow-driven propagation pathways of low-frequency oscillations in the human brain
Summa Cum Laude AMPC Selected
Adam Wright, Vidhya Nair, Brianna Kish, Varan Sriram, Qiuting Wen, Yunjie Tong
Purdue University, West Lafayette, United States of America
Impact: This work identifies two distinct mechanisms by which low-frequency oscillations propagate through the brain: pressure- and flow-driven pathways. Characterizing these transmission modes advances their application in key domains: probing brain fluid dynamics and serving as endogenous markers of cerebrovascular health.
  Figure 271-01-006.  Advanced Diffusion-Weighted Imaging Markers for Prediction of Breast Cancer Treatment Response in a Multisite Trial
Summa Cum Laude AMPC Selected
Debosmita Biswas, Chen Shen, Dariya Malyarenko, Patrick Bolan, Stephane Loubrie, Isabella Li, Anum Kazerouni, Brendon Moloney, Xin Li, Dallas Turley, Marissa Lawson, Rebecca Rakow-Penner, Jennifer Specht, Suzanne Dintzis, Habib Rahbar, Thomas Chenevert, James Holmes, Wei Huang, Savannah Partridge
University of Washington, Seattle, United States of America
Impact: Diffusion-weighted imaging markers demonstrate accurate early prediction of pathologic response in breast tumors treated with neoadjuvant chemotherapy, outperforming RECIST. Results support their potential as imaging biomarkers to help optimize breast cancer treatments in the future.
  Figure 271-01-007.  Repeatability and reproducibility of knee cartilage T1ρ and T2 mapping: A multi-site multi-vendor study by QMIC
AMPC Selected
Zhiyuan Zhang, Xinyan Jian, Jeehun Kim, Richard Lartey, Kihwan Kim, Patrick Yeh, Mei Li, Nancy Obuchowski, Carl Winalski, Brian Soher, Virginia Kraus, Qi Peng, Morgan Jones, Stacy Smith, Feliks Kogan, Jing Liu, Thomas Link, Daniel Thedens, Donald Anderson, Michael Samaan, Peter Hardy, Brian Pietrosimone, Majid Chalian, Qin Qin, Bruce Beynnon, Jiming Zhang, Niccolo Fiorentino, Edwin Oei, Shivraman Giri, maggie fung, Yansong Zhao, Jason Kim
Cleveland Clinic, Cleveland, United States of America
Impact: This study demonstrated excellent intra-site repeatability and inter-site reproducibility of knee cartilage T1ρ and T2 imaging using QMIC MSK committee–recommended protocols across multiple sites and vendors, supporting their potential future use in clinical practice and large-scale clinical trials.
  Figure 271-01-008.  Functional lung MRI during tachypnea detects changes in regional ventilation after dual bronchodilator treatment in COPD
Summa Cum Laude AMPC Selected
Robin Müller, Andreas Voskrebenzev, Filip Klimeš, Marius Klein, Frank Wacker, Jens Vogel-Claussen, Jens Hohlfeld
Hannover Medical School, Hannover, Germany
Impact: Metronome-paced tachypnea is a feasible alternative to exercise testing and demonstrates greater sensitivity to single-dose dual bronchodilator effects in COPD patients when assessed using single-slice functional lung MRI.
  Figure 271-01-009.  Signatures of structural disorder in axons and glial processes in human white matter using time-dependent diffusion MRS
Summa Cum Laude AMPC Selected
Jessie Mosso, Santiago Coelho, Ricardo Coronado-Leija, Valentin Stepanov, Andrè Döring, Roland Kreis, Els Fieremans, Dmitry Novikov
New York University Grossman School of Medicine, New York, United States of America
Impact: Diffusion-tensor MRS uncovers time-dependence of diffusion coefficient for axon- and glia-specific metabolites in human white matter. The derived axon geometry parameters agree for NAA and water, and differ for choline, suggesting that glial processes are microstructurally distinct from axons.
  Figure 271-01-010.  Permeability changes measured by dynamic contrast enhancement and revascularization surgery in patients with moyamoya disease
AMPC Selected
Shoko Hara, Misaki Miyasaka, Yosuke Ishii, Shihori Hayashi, Motoki Inaji, Kenji Ishii, Yoji Tanaka, Taketoshi Maehara
Institute of Science Tokyo, Tokyo, Japan
Impact: In patients with moyamoya disease, blood brain barrier (BBB) dysfunction may correlate with hemodynamic disturbances and be reversible after revascularization surgery. Further investigation is needed to clarify whether BBB dysfunction affects cognition in this disease population.
  Figure 271-01-011.  Initial Clinical Evaluation of DeepAcq: Ultra-Fast Multi-Contrast MRI and T₁/T₂ Mapping in Multiple Sclerosis
Summa Cum Laude AMPC Selected
Beril Alyuz, Shihan Qiu, Hsu-Lei Lee, Chang Gao, Sreekanth Madhusoodhanan , Dan Ruan, Nancy Sicotte, Pascal Sati, Yibin Xie, Debiao Li
Cedars-Sinai Medical Center, Los Angeles, United States of America
Impact: DeepAcq enables high-resolution multi-contrast MRI and quantitative mapping in under 3 minutes, with performance comparable to reference acquisitions. With clinical validation, it holds promise for increasing scanner efficiency, improving patient comfort, and facilitating longitudinal monitoring of disease progression in MS.
  Figure 271-01-012.  Accuracy and Sensitivity of 3D qDESS in T2-mapping of Skeletal Muscle Before and After Exercise-induced Increases in T2
Summa Cum Laude AMPC Selected
Gabriel Rossetto, Rory Brown, Matthew Birkbeck, David Higgins, Kieren Hollingsworth
Newcastle University, Newcastle upon Tyne, United Kingdom
Impact: The 3D qDESS method is in good agreement with MESE and STEAM muscle-water $T_2$ values in skeletal muscle under pre- and post-exercise conditions, making it a sensitive and viable tool for FSHD clinical trials.
  Figure 271-01-013.  Physics-Driven MRI Reconstruction with Autoregressive State-Space Modelling
Summa Cum Laude AMPC Selected
Bilal Kabas, Fuat Arslan, Valiyeh Ansarian Nezhad, Saban Ozturk, Emine Ulku Saritas, Tolga Cukur
Bilkent University, Ankara, Turkey
Impact: MambaRoll enhances image fidelity through improved contextual sensitivity while maintaining high computational efficiency, enabling more reliable reconstructions. This capability can improve the utility of accelerated imaging protocols and learning-based reconstruction in clinical applications.
  Figure 271-01-014.  Context is everything: Reducing false positives in longitudinal health assessment using deep learning with prior information
Summa Cum Laude AMPC Selected
Lavanya Umapathy, Patricia Johnson, Tarun Dutt, Angela Tong, Madhur Nayan, Hersh Chandarana, Daniel Sodickson
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
Impact: A reduction in false positive rates using individualized prior context without degrading sensitivity could offer a pathway to expand longitudinal health-monitoring programs to large populations with comparatively low baseline risk of disease, leading to earlier detection and improved health outcomes.
  Figure 271-01-015.  A 7T MRI-Compatible Piano for Neuroscientific Research
AMPC Selected
Nicolas Kutscha, Tim Schäfer, Kanthida van Welzen, Örjan de Manzano, Fredrik Ullén
Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
Impact: This piano enables artifact-free, high-field fMRI studies of naturalistic music tasks through weighted keys equipped with 3D-printed hammers and low system latency, supporting research in brain function, motor control, and neurorehabilitation.
  Figure 271-01-016.  Characterising neurodevelopment in low and middle-income settings with ultra-low field MRI.
AMPC Selected
Firehiwot Abate, Kenneth Ae-Ngibise, Kwaku Asante, Florence AWEYO, Victor Akelo, Niall Bourke, Richard Beare, Chiara Casella, Sean Deoni, Kirsten Donald, Vanessa Cavallera, Tarun Dua, Laurel Gabard-Durnam, Bethany Freeman, Emmanuela Gakidou, Zahra Hoodbhoy, Margaret Kasaro, Sidra Kaleem, Hajer Karoui, AMNA KHAN, Patricia Kitsao-Wekulo, Beena Koshy, Anne Lee, Aksel Leknes, Natasha Lepore, Marius Linguraru, Russell Macleod, Yaw Mensah, Jonathan O'Muircheartaigh, Hans-Georg Müller, Victoria Namazzi, Margaret Nampijja, Gloria Nandudu, Victoria Nankabirwa, Solomon Nyame, Dickens Onyango, Samuel Oppong, Salman Osmani, Harun Owuour, Sadia Parkar, Joshua Proctor, Marc Seal, Emily Smith, Jamie Steinmetz, Austin Tapp, Jeffrey Tanedo, Maclean Vokhiwa, Steven Williams, Yidong Zhou, Muriel Bruchhage
Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
Impact: Reliable prediction of cognitive development is critical for rapid early evaluation of maternal and child health interventions. Low-field MRI may fill this need, allowing interventions to be rapidly assessed, improved, and implemented to improve child “thrival” in LMIC settings.
  Figure 271-01-017.  Diffusion-Relaxation Correlation Spectroscopic MRI for Characterizing Prostate Cancer versus Whole-Mount Histopathology
Summa Cum Laude AMPC Selected
Elif Aygun, Zhaohuan Zhang, Steven Raman, Robert Reiter, Anthony Sisk, KyungHyun Sung, Holden Wu
David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America
Impact: Prostate microstructure parameters obtained from diffusion-relaxation correlation spectroscopic MRI (DR-CSI) demonstrated differences between indolent and clinically significant prostate cancer. DR-CSI has the potential to improve the characterization of prostate cancer.
  Figure 271-01-018.  Deuterium metabolic imaging for assessing response to chemoradiotherapy in high grade glioma: a multisite study
Summa Cum Laude AMPC Selected
Alixander Khan, Otso Arponen, Giorgia Carnicelli, Ines Horvat-Menih, Nikolaj Bøgh, Maria Zamora Morales, Esben Hansen, Ashley Grimmer, Elizabeth Latimer, Nichlas Vous Christensen, Michael Væggemose, Uffe Kjærgaard, Sebastian Bauer, Jonathan Birchall, Joshua Kaggie, Rolf Schulte, Anders Vittrup, Ane Iversen, Matthew Locke, Marta Wylot, Fiona Harris, Tomasz Matys, Raj Jena, Slávka Lukacova, Mary McLean, Christoffer Laustsen, Ferdia Gallagher
Aarhus University, Aarhus, Denmark
Impact: Our findings suggest DMI can non-invasively measure treatment response in high grade glioma following chemoradiotherapy. The relationship between metabolic measurements and prognosis for patients supports further investigation into the application of DMI for oncological treatment response.
  Figure 271-01-019.  Infrared control signaling for a fully wireless stand-alone RF coil with analog optical signal transfer
AMPC Selected
Roberta Frass-Kriegl, Julian Mayer, Jean-Lynce Gnanago, Michael Kusolitsch, Michael Hauser, Lukas Baumgartner, Andreas Hodul, Kerstin Schneider-Hornstein, Michael Hofbauer
Medical University of Vienna, Vienna, Austria
Impact: We demonstrate a fully wireless MR receive-only coil combining infrared control signaling, analog optical signal transmission, and battery power supply. The IR link enables reliable, low-latency detuning without performance loss, representing a key step toward practical stand-alone wireless MRI coils.
  Figure 271-01-020.  Investigations on RF Shimming with a 16-Channel Coaxial-End Dipole Array for Combined Head and C-spine MRI at 9.4T
AMPC Selected
Felix Glang, Georgiy Solomakha, Dario Bosch, Klaus Scheffler, Nikolai Avdievich
Graz University of Technology, Graz, Austria
Impact: We show that 2D RF shimming with a 16-channel double-row dipole array improves excitation uniformity for combined brain and spine imaging at 9.4T, while improvements for 3D excitation are limited. This informs future developments in parallel transmission for ultra-high-field neuroimaging.
  Figure 271-01-021.  All-in-One DeepGrasp: A Unified Self-Supervised Model for Accelerated 4D Radial MRI Across Organs, Resolutions, and Dynamics
Summa Cum Laude AMPC Selected
Haoyang Pei, Jingjia Chen, Yao Wang, Hersh Chandarana, Li Feng
Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, New York, United States of America
Impact: The proposed All-in-One DeepGrasp allows for efficient and high-quality, highly-accelerated 4D MRI reconstruction across organs, resolutions, and temporal dynamics, offering significant potential for different clinical applications, including both DCE and non-DCE applications.
  Figure 271-01-022.  Abbreviated Cardiovascular MR (aCMR) for Efficient and Comprehensive Etiology Diagnosis of Acute Ischemic Stroke
Magna Cum Laude AMPC Selected
Qingle Kong, Yang Chen, Huabin Zhu, Jiayu Xiao, Parveen Garg, Nasim Sheikh-Bahaei, Roy Poblete, May Kim-Tenser, Patrick Lyden, Zhaoyang Fan
University of Southern California, Los Angeles, United States of America
Impact: The aCMR-based imaging paradigm is expected to significantly enhance AIS care by improving the accuracy and efficiency of etiology diagnosis, reducing rates of cryptogenic stroke diagnosis, and effectively guiding treatment decisions for secondary stroke prevention.
  Figure 271-01-023.  High-Bandwidth PRF-Shift MR Thermometry for Temperature Imaging Near Metal
AMPC Selected
William Grissom, Sarah Garrow, Mark Griswold
Case Western Reserve University, Cleveland, United States of America
Impact: The proposed high-bandwidth MR thermometry method enables temperature imaging in tissues with large magnetic field offsets or gradients, such as those near metallic ablation probes or needles. This is desirable to monitor thermal therapies but not possible with existing methods.
  Figure 271-01-024.  REACT-MAX: Comprehensive Vascular Evaluation with Non-Contrast Angiography, Vessel-Wall, and Calcification MRI in One Scan
AMPC Selected
Masami Yoneyama, Satonori Tsuneta, Satoru Aono, Noriyuki Fujima, Jihun Kwon, Shuo Zhang, Marc Van Cauteren
Philips Japan, Tokyo, Japan
Impact: REACT-MAX streamlines comprehensive vascular evaluation by combining contrast-free angiography, vessel-wall, and calcification imaging in one scan, reducing scan time and motion artifacts while improving diagnostic workflow efficiency for potential early detection of systemic atherosclerotic disease.
  Figure 271-01-025.  Cortex-Inspired Hierarchical Reconstruction of Visual Stimuli from fMRI Signals
AMPC Selected
Shiyi Zhang, liu ming, Qihui Ye, Yanjie Zhu, Haifeng Wang, Dong Liang, Hairong Zheng, Yihang Zhou
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: Our fMRI-based reconstruction creates a non-invasive window into the mind, translating thoughts into high-resolution visual imagery. This work offers significant potential for creating assistive technologies for the disabled and advancing research into visual neuroscience.
  Figure 271-01-026.  Layer-fMRI at 0.39 mm isotropic meets vascular mapping at 0.35 mm isotropic: Partners or Confounders?
Summa Cum Laude AMPC Selected
Alessandra Pizzuti, Omer Faruk Gulban, Rainer Goebel, Renzo Huber
Maastricht University, Maastricht, Netherlands
Impact: Layer-fMRI is approaching the scale of cortical microcircuits, yet its physiological underpinnings remain unclear. By pairing 0.39 mm layer-fMRI with 0.35 mm vascular imaging, we demonstrate that vascular architecture accounts for significant, previously unexplained variance in laminar signals.
  Figure 271-01-027.  Neurochemical Indicators of Cognitive Performance assessed by 7T MR Spectroscopy in the Aging Adult Brain Connectome Cohort
AMPC Selected
Eva-Maria Ratai, Malgorzata Marjanska, Yue Hong, Yiwen Zhang, Melissa Terpstra, Guglielmo Genovese, Jeromy Thotland, Michael Wolf, Meher Juttukonda, Jan Kufer, Christa Michel, Courtney Accorsi, Adam Khay, Essa Yacoub, Petra Lenzini, Lauren Antonucci, Gayathri Vijayaraghavan, Steven Arnold, Robert Welsh, Jennifer Elam, Dara Ghahremani,, Carlos Cruchaga, Matthew Glasser, Michael Harms, Pauline Maki, Susan Bookheimer, Helen Lavretsky, Thomas Nichols, Beau Ances, David Salat
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: This study enhances our understanding of cognitive aging by revealing neurochemical patterns linked to preserved cognitive abilities in older adults, highlighting the role of MR spectroscopy in evaluating neuronal resilience in aging.
  Figure 271-01-028.  First human subject images with a sealed, low-cryogen, high-performance head-only 7T MRI scanner (Compact 7T)
AMPC Selected
Thomas Foo, Nastaren Abad, Mark Vermilyea, Gene Conte, Chris Van Epps, Justin Ricci, Minfeng Xu, Anbo Wu, Vijay Soni, Yihe Hua, Wolfgang Stautner, Eric Fiveland, Keith Park, Eric Budesheim, John III Huston, Christopher Hess, Yunhong Shu, Dan Vigneron, Duan Xu, Desmond Yeo, Seung-Kyun Lee
GE HealthCare Technology and Innovation Center, Niskayuna, United States of America
Impact: The low-cryogen, lightweight Compact 7T system makes it easier to install and operate a 7T MRI. Furthermore, With SRmax = 820 T/m/s, 4x that of whole-body 7T, spatial distortion and signal loss in EPI typical at 7T are markedly reduced.
  Figure 271-01-029.  AI-Based Detection of Liver Iron Overload and Steatosis from MRI Localizers
AMPC Selected
Yura Oh, Dheerendranath Battalapalli, Marwa Ismail, Julius Heidenreich, Jitka Starekova, David Harris, Garrett Fullerton, Shreyas Vasanawala, Scott Reeder, Pallavi Tiwari, Diego Hernando
University of Wisconsin - Madison, Madison, United States of America
Impact: A deep learning method detects liver iron overload and steatosis from the localizers acquired at the beginning of every exam, with radiologist-level performance. This may enable immediate triage to identify patients who would benefit from same-exam specialized iron/fat quantification.
  Figure 271-01-030.  A Unified Vision-Language Foundation Model for Multi-Task MRI Application
AMPC Selected
Xingxin He, Aurora Rofena, Yifan Hu, Ruimin Feng, Zhehao Liao, Valerio Guarrasi, Paolo Soda, Zhaoye Zhou, Albert Jang, Fang Liu
Harvard Medical School, Boston, United States of America
Impact: OmniMRI is a unified vision-language foundation model trained on large-scale heterogeneous MRI data, performing reconstruction, segmentation, detection, diagnosis, and report generation in one system to enhance automation, efficiency, and generalization across diverse protocols, anatomies, and tasks in the MRI workflow.
  Figure 271-01-031.  Paramagnetic Changes in Multiple Sclerosis: Imaging-Pathology Correlations
AMPC Selected
Kedar Mahajan, Kathryn Ryan, Kunio Nakamura, Ken Sakaie, Mark Lowe, Bruce Trapp, Stephen Jones, Emmanuel Obusez
Cleveland Clinic, Cleveland, United States of America
Impact: Paramagetic Rim Lesions (PRL) have been proposed as an MRI-visible indicator of chronic immune activity in Multiple Sclerosis (MS). However, imaging-histology comparison suggests that the degree PRL reflect relevant pathology is unclear. Further research is required to adequately interpret PRL.
  Figure 271-01-032.  Arrhythmia-Resolved Heart-Brain Hemodynamic Relationships in Atrial Fibrillation: A Feasibility Study
Summa Cum Laude AMPC Selected
Anahita Najafi, Justin Baraboo, Thara Nallamothu, Mingyue Zhao, Theresa Benson, Shifa Banani, Rod Passman, Daniel Lee, Daniel Kim, Kelly Jarvis
Northwestern University Feinberg School of Medicine, Chicago, United States of America
Impact: We demonstrated the feasibility of an arrhythmia-resolved heart-brain MRI protocol that quantifies hemodynamics across various heartbeat lengths in arrhythmia. This approach enables investigation of potentially adverse hemodynamics that may contribute to brain injury in atrial fibrillation.
  Figure 271-01-033.  Swimming Attenuates Paraspinal Muscle Degeneration in Rats with Discogenic Low Back Pain: A Multimodal MRI Study
AMPC Selected
Jiaqiu Jiang, Bo He, Lisha Nie
Department of Medical Imaging,the First Affiliated Hospital of Kunming Medical University, Kunming, China
Impact: Provides quantitative, noninvasive MRI markers of exercise-induced paraspinal muscle remodeling, enabling objective monitoring and mechanism-informed rehabilitation. These markers support responder stratification and dosing in trials and can be standardized across centers to accelerate clinical translation.
  Figure 271-01-034.  Battery-Powered Portable MRI For Low-Resource Settings
Summa Cum Laude AMPC Selected
Mary Nassejje, Luiz Guilherme Santos, Marina Fernández-García, Teresa Guallart Naval, José Algarín, Patricia Tusiime, Johnes Obungoloch, Asiimwe Robert, Joseba Alonso
Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain
Impact: 
Autonomous battery powered low-field scanners enable uninterrupted scanning and decoupling from noise sources in regions where electricity is unreliable.
  Figure 271-01-035.  In-vivo mapping of whole-brain venous angioarchitecture and T2* at 350 microns with servo navigation and pTX at 7T and 11.7T
AMPC Selected
Rüdiger Stirnberg, Matthias Serger, Philipp Ehses, Omer Faruk Gulban, Franck Mauconduit, Malte Riedel, Dimo Ivanov, Klaas Prüssmann, Nicolas Boulant, Tony Stoecker
German Center for Neurodegenerative Diseases (DZNE e.V.), Bonn, Germany
Impact: Simultaneous whole-brain T2* mapping and in-vivo venous angioarchitecture mapping at 350 μm isotropic is feasible at 11.7T (7T) within 11 (15.5) minutes scan time. To this end, multi-echo data were acquired using segmented 3D-EPI with pTX and prospective motion+field correction.
  Figure 271-01-036.  Quantification of Infrapatellar Fat Pad Fatty Acid Composition across ACLR and KOA Cohorts using CSE-MRI at 5T
AMPC Selected
Siyi Wu, Luoyong Jiang, Chuanli Cheng, Luyao Ma, Hanyu YAO, Xin Gao, Chao Zou, Xin Liu, Hairong Zheng, Liwen Wan
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: Joint quantification of PDFF, FAC, and R2* of IPFP using CSE-MRI can reveal disease differences between KOA and ACLR, supporting their potential use as non-invasive biomarkers for prognosis, early surveillance, and personalized intervention.
  Figure 271-01-037.  Analysis of the Information Contribution of Different Contrast Scans in an MRI Examination aided by Content/style Modeling
Summa Cum Laude AMPC Selected
Chinmay Rao, Matthias van Osch, Mariya Doneva, Jakob Meineke, Elwin de Weerdt, Laurens Beljaards, Marius Staring
Leiden University Medical Center, Leiden, Netherlands
Impact: Quantification of the information contribution of scans in an MRI exam can assist the operator/radiologist in optimizing exam protocols for high efficiency with minimum information loss. Such optimized exams could reduce strain on the patient, while increasing the hospital’s patient-throughput.
  Figure 271-01-038.  Social status individualizes brain connectome dynamics to buffer negative hippocampal recall
AMPC Selected
Jonathan Reinwald, Sarah Ghanayem, David Wolf, Danai Nikolantonaki, Markus Sack, Gabriele Ende, Wolfgang Weber-Fahr, Wolfgang Kelsch
Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
Impact: These findings establish connectome adaptability as a systems-level mechanism linking everyday social-status experiences to hippocampal control of negative memory. Thereby, we identify a translational endophenotype that connects ecological behavior, network dynamics, and cognitive resilience relevant to depression risk across species.
  Figure 271-01-039.  UTE-MRI Detects Increased Fat Deposition in Cortical Pores of Diabetic Bones
AMPC Selected
Soo Hyun Shin, Qingbo Tang, Saeed Jerban, Eric Chang, Jeremy Pettus, Gina Woods, Yajun Ma, Jiang Du
University of California, Berkeley, United States of America
Impact: We demonstrate for the first time that UTE-MRI can detect fat deposition in cortical pores. Increased fat deposition in cortical pores of diabetic bones may serve as a useful imaging marker for monitoring bone health in patients with diabetes.
  Figure 271-01-040.  Characterization and longitudinal assessment of myocardial microstructure in ICI myocarditis using ultra-high-gradient cDTI
AMPC Selected
Xianling Qian, Ling Chen, Zhuolin Liu, Jili Chen, Christopher Nguyen, Caixia Fu, xiaoming Liu, Yuchi Liu, Yishi Wang, Yunzhu Wu, Jing An, Danielle Kara, Dingheng Mai, Moses Cook, Zachary Player, Xuhao Song, Yinyin Chen, Hang Jin, Mengsu Zeng
Zhongshan Hospital, Fudan University, Shanghai, China
Impact: Free-breathing cardiac diffusion tensor imaging enables contrast-free detection and monitoring of microstructural injury in immune checkpoint inhibitor-related myocarditis, providing a robust imaging biomarker that complements guideline-recommended T1/T2 criteria and may improve early diagnosis, risk stratification, and therapeutic monitoring.
  Figure 271-01-041.  Physics-Guided Few-Shot Learnable Active Contour Model for Quantitative Body Composition Analysis on MRI PDFF images
AMPC Selected
Lin Yang, Chuanli Cheng, Zhanli Hu, Xin Liu, Hairong Zheng, Chao Zou
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: This physics-guided learnable active contour model enables high-precision, whole-body tissue segmentation from MRI-PDFF images with minimal annotations. It facilitates scalable body composition analysis, overcoming a key bottleneck in clinical research and population health studies.
  Figure 271-01-042.  Data-driven staging and subtyping reveal spatiotemporal trajectories of brain iron in Parkinson’s disease
AMPC Selected
Jianmei Qin, Alain Dagher, Xiaojun Guan, Minming Zhang
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
Impact: This work establishes a data-driven framework to disentangle Parkinson’s disease heterogeneity, revealing biologically meaningful spatiotemporal trajectories of iron accumulation that may enable personalized disease staging, progression tracking, and biomarker-based patient stratification in clinical trials.
  Figure 271-01-043.  Fast design of safe spirals on the scanner
Summa Cum Laude AMPC Selected
David Leitão, Sarah McElroy, Daniel West, Jo Hajnal, Tobias Wood, Tomoki Arichi, Shaihan Malik
King's College London, London, United Kingdom
Impact: The proposed algorithm enables spiral imaging with safe designs allowing on-the-fly adjustment, as acquisition parameters are modified. This flexibility enables safe and efficient use of gradients alongside normal imaging workflow.
  Figure 271-01-044.  T1 and T2 mapping of the human brain across magnetic field strengths from 0.047 T to 7.0 T
Summa Cum Laude AMPC Selected
Martijn Nagtegaal, Navid Jabarimani, Yiming Dong, Ece Ercan, Jan Groen, Matthias van Osch, Andrew Webb, Chloe Najac
Leiden University Medical Center, Leiden, Netherlands
Impact: Measuring T₁ and T₂ in the same subjects from 0.047T to 7.0T on the same software allows more rigorous determination of the dependency on field strengths, which in turn aids in contrast optimization for mid- and low-field MRI.
  Figure 271-01-045.  What is the effect of a breath-hold on renal BOLD MRI scans?
AMPC Selected
Anna Griffith, Eve Shalom, Kanishka Sharma, Kywe Soe, Ho-Fung Chan, Guilhem Collier, Neil Stewart, Steven Sourbron, Joao Periquito
The University of Sheffield, Sheffield, United Kingdom
Impact: Detailing renal BOLD changes from autoregulatory mechanisms may reveal impaired renal vasoreactivity, a feature of early diabetic kidney disease, and serve as a potential biomarker for early detection and monitoring.
  Figure 271-01-046.  Cortical myeloarchitectural types in a 75μm isotropic whole human brain ex-vivo dataset
AMPC Selected
Johannes Franz, Omer Faruk Gulban, Francisco Fritz, Luke Edwards, Shubharthi Sengupta, Sven Hildebrand, Benedikt Poser, Judith Peters, Katrin Amunts, Alard Roebroeck
Maastricht University, Maastricht, Netherlands
Impact: In ex-vivo, whole human brain data at 75μm isotropic, we show T2* contrast delineates all Vogt&Vogt striate types of myeloarchitecture. This presents an important step towards a whole-brain MRI-based atlas of laminar T2* contrast with close relationship to myeloarchitecture.
  Figure 271-01-047.  Body fat distribution predicts cardiometabolic risk in healthy non-obese individuals: an opportunistic screening approach
AMPC Selected
Balazs Bogner, Matthias Jung, Marco Reisert, Juliane Maushagen, Susanne Rospleszcz, Fabian Bamberg, Jana Taron, Jakob Weiß
University Medical Center Freiburg — Department of Diagnostic and Interventional Radiology, Freiburg, Germany
Impact: Automated MRI-derived VAT/SAT ratio reveals hidden cardiometabolic risk in apparently healthy individuals missed by conventional measures, providing rationale for opportunistic screening from routine clinical imaging to identify individuals who could potentially benefit from earlier health interventions.
  Figure 271-01-048.  Limbic Neurometabolic Network Segregation Underlies Cognitive Resilience in Alzheimer’s Disease
Summa Cum Laude AMPC Selected
Wenli Li, Miao Zhang, Yibo Zhao, Yudu Li, Wen Jin, Yaoyu Zhang, Yue Guan, Wenqi Zhang, Zhi-Pei Liang, Yao Li
Shanghai Jiao Tong University, Shanghai, China
Impact: Neurometabolic network segregation within the limbic system underlies cognitive resilience in AD. Preserved neuronal network organization may buffer against glucose hypometabolism, offer potential biomarkers and provide targets for interventions aimed at maintaining cognition despite AD pathology.
  Figure 271-01-049.  Can slice-GRAPPA enable water-fat separation in single-shot EPI for diffusion MRI?
Summa Cum Laude AMPC Selected
Yiming Dong, Peter Börnert, Ziyu Li, Xinyu Ye, Matthias van Osch, Wenchuan Wu
Leiden University Medical Center, Leiden, Netherlands
Impact: This work introduces a GRAPPA-based water–fat separation for single-shot diffusion EPI, eliminating the need for fat-saturation or multi-echo acquisitions. It improves fat suppression efficiency and reduces scan time, potentially enhancing diffusion MRI robustness across anatomies.
  Figure 271-01-050.  A Resonance-Tuned Butterfly Wireless Array for 3 T Prostate MRI
AMPC Selected
Shahzeb Hayat, Wenhao Liao, Peiyu He, Enhua Xiao, Shang Gao, Zhiguang Mo, Feng Du, Nan Li, Qiaoyan Chen, Xiaoliang Zhang, Ye Li
Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Impact: The wireless butterfly array provides a compact, optimum decoupling solution for prostate MRI, enhancing SNR and spatial specificity, simplifying deployment, and improving diagnostic imaging and potential interventional procedures while addressing limitations of current coils.
  Figure 271-01-051.  Going wearable in simultaneous EEG-fMRI at 7T: 8TxRx dipole antenna combined with a 10Rx-only twisted-pair coil array
AMPC Selected
Elizaveta Shegurova, Andreas Lu, Leen Bou Khaled, Thanh Phong Lê, Jules Vliem, Katarzyna Pierzchala, Emilie Sleight, Jonathan Wirsich, Frédéric Grouiller, Irena Zivkovic, Dimitri Van De Ville, Dimitrios Karampinos, Daniel Wenz
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Impact: This work establishes the feasibility of combining flexible TP receive arrays with transceive dipole antennas in the presence of an EEG cap, demonstrating potential for future wearable multimodal neuroimaging at 7T.
  Figure 271-01-052.  Disrupted Brainstem Functional Architecture in Aging and in Isolated REM Sleep Behavior Disorder
AMPC Selected
Lin Hua, Kavita Singh, María Guadalupe García-Gomar, Firdaus Fabrice Hannanu, Koley Subhranil, Ambra Stefani, Stephan Grimaldi, Aleksandar Videnovic, Marta Bianciardi
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: This study integrates 7-Tesla fMRI and transcriptomics to identify brainstem-associated functional and molecular biomarkers of aging and early α-synucleinopathy, with strong translational correspondence to 3-Tesla fMRI data, providing a framework for connectome–molecular biomarkers and therapeutic interventions.
  Figure 271-01-053.  Identifying network states linked to the therapeutic efficacy of deep brain stimulation for OCD
Magna Cum Laude AMPC Selected
David Mikhael, Natalya Slepneva, Starlette Khim, Tenzin Norbu, Philip Starr, Moses Lee, Melanie Morrison
University Of California, San Francisco (UCSF), United States of America
Impact: We found that therapeutic DBS in OCD reduced recruitment of a default mode–like state and increased connectivity of a salience–interoceptive state. Moving beyond trial-and-error DBS optimization, these dynamic biomarkers can aid data-driven DBS optimization for network-specific therapeutic engagement.
  Figure 271-01-054.  A High-Resolution Deuterium Metabolic Imaging and Unsupervised Clustering Framework for Unraveling Intratumoral Heterogeneity
AMPC Selected
Xinjie Liu, Shasha Wang, Elton Montrazi, Lucio Frydman, Xin Zhou, Maili Liu, Chaoyang Liu, Qingjia Bao
Innovation Academy for Precision Measurement Science and Technology,CAS, Wuhan, China
Impact: This study introduces a noninvasive imaging framework that combines high spatiotemporal resolution with unsupervised clustering of high-dimensional dynamic metabolic data, enabling the in vivo detection and classification of intratumoral heterogeneity.
  Figure 271-01-055.  Integrated local B0-B1 array: a portable acceleration platform with nonlinear gradient waves numerically optimized in k-space
Summa Cum Laude AMPC Selected
Rui Tian, Georgiy Solomakha, Nikolai Avdievich, Klaus Scheffler
Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Impact: A portable, integrated B0-B1 array generating flexible spatial-encoding fields has been developed to investigate MRI acceleration limits. This setup stimulates a novel shift in sequence design methodology: modulation waveform parameters are chosen from numerically-optimized pools, while human-design becomes highly non-intuitive.
  Figure 271-01-056.  Test-time optimization for cortical surface reconstruction across image resolutions/contrasts using untrained neural networks
AMPC Selected
Haoxiang Li, Mingxuan Liu, Divya Varadarajan, Zhangxuan Hu, Qiyuan Tian, Jonathan Polimeni
Tsinghua University, Beijing, China
Impact: We introduce a pretraining–free, generalizable cortical surface reconstruction method delivering accurate results across imaging resolutions, contrasts, species and brain regions, reducing barriers to cross-domain neuroimaging. This extends morphometric analyses to new datasets, accelerating comparative/translational neuroscience while standardizing analyses.
  Figure 271-01-057.  Multi-Compartment Relaxometry for myelin water imaging with magnetic susceptibility source separation (MCR-MWI-Chisep)
Summa Cum Laude AMPC Selected
Kwok-Shing Chan, Yohan Jun, Susie Huang, Hong Hsi Lee, Berkin Bilgic, José Marques
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: We develop an improved MWI framework that enhances myelin water fraction estimation while enabling simultaneous iron quantification. This approach supports low SAR, efficient, high-resolution whole-brain imaging, advancing in vivo characterisation of myelin and iron for neurodegenerative disease research.
  Figure 271-01-058.  Efficient High-Resolution Fat-Fraction Mapping for Myocardial Fat and Semaglutide Response in a Porcine HFpEF Model
AMPC Selected
Xinheng Zhang, Mahmoud Elbatrik, Yuheng Huang, Archana Malagi, Chia Chi Yang, Li-Ting Huang, Miguel Huerta, David Lefer, Traci Goodchild, Hsin-Jung Yang
Cedars-Sinai Medical Center, Los Angeles, United States of America
Impact: We present an 8-minute, free-running whole-heart MRI sequence for high-resolution quantification of myocardial fat composition. This enables spatially resolved assessment of adipose remodeling and demonstrates as a powerful imaging biomarker for evaluating GLP-1 receptor agonist therapy in HFpEF patients.
  Figure 271-01-059.  Direct dynamic 2H MRSI and metabolic modelling for 3D characterization of glucose oxidative metabolism in rats brain
Summa Cum Laude AMPC Selected
Alessio Siviglia, Brayan Alves, Thanh Phong Lê, Cristina Cudalbu, Bernard Lanz
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Impact: This study establishes a metabolic modelling empowered 3D ²H-MRSI approach for in-vivo dynamic mapping of regional oxidative glucose metabolism. The protocol integration with 3D-1H-FID-MRSI acquisitions allows for real-time pool size measurement, providing accurate metabolism kinetics characterization.
  Figure 271-01-060.  Improving Amyloid Detection and Brain PET Image Quality Using MR-Guided Reconstruction on Integrated PET/MR
AMPC Selected
Yu Cai, Chen Lin, Manoj Jain, Robert Pooley, Jun Zhang, Brittany Benson, Matthew Spangler-Bickell, Alex Smith, Vivek Gupta, Catherine Bullock, Erik Middlebrooks, Neetu Soni
Zhongda Hospital, School of Medicine, Southeast University, China
Impact: MR-guided PET reconstruction enhances reader consistency, confidence, and diagnostic performance in amyloid PET/MR. This technique provides a reliable framework for amyloid PET diagnosis, potentially improving early detection and supporting the monitoring of anti-amyloid therapies in Alzheimer’s disease.
  Figure 271-01-061.  Comprehensive multi-modal MRI templates of the infant brain: a foundational resource for infant brain research
Summa Cum Laude AMPC Selected
Ruolin Li, Jianlin Guo, Runjia Lin, Shufang Tan, Kaitlyn Woods, zun, ying hu, Minhui Ouyang, Yun Peng, Hao Huang
Children's Hospital of Philadelphia, Philadelphia, United States of America
Impact: The established foundational resource for infant brain research offers multi-modal age-specific MRI templates at densely sampled infant ages. This resource uniquely featured with co-registered cortical surfaces and atlases of small infant cerebellum significantly improves infant neuroimaging analysis precision.
  Figure 271-01-062.  Distinct Hydrodynamic and Hemodynamic Drivers in the Brain Parenchyma Revealed by Multi-modal Dynamic MRI
Summa Cum Laude AMPC Selected
Jianing Zhang, Adam Wright, Elodie Foster, Qiuting Wen
Indiana University School of Medicine, Indianapolis, United States of America
Impact: This study reveals respiration-driven hydrodynamics and LFOs-dominant hemodynamics within the brain parenchyma, suggesting a more complex fluid regulation than in the subarachnoid space. These findings underscore the importance of concurrently assessing both fluid compartments to better understand cerebral clearance physiology.
  Figure 271-01-063.  A new paradigm for whole-night sleep neuroimaging using a wearable coil and quiet BOLD acquisition
AMPC Selected
Omer Sharon, Julian Maravilla, Shreya Ramachandran, Florian Wiesinger, Ana Beatriz Solana, Matthew Walker, Chunlei Liu, Ana Arias, Michael Lustig
University of California, Berkeley, United States of America
Impact: This platform enables whole-night PSG-EEG-fMRI, making whole-brain dynamics during sleep in older adults and patients a reality. Spatial detail in the cortex and access to deep brain areas unlock the study of overnight consolidation processes in healthy and pathological aging.
  Figure 271-01-064.  Combined MR – histology – micron-resolution fiber mapping towards multimodal microscopic validation of MRI
Summa Cum Laude AMPC Selected
Andy Liu, Yixin Wang, Matthew Choi, Derek Days, Michael Zeineh, Marios Georgiadis
Stanford Medicine, Stanford, United States of America
Impact: Showing that micron-resolution fiber orientations from ComSLI can be precisely mapped to MRI volume fata from human specimens, we aim to enable detailed validation and optimization of MR tractography, and combined MR-histology-microtractography investigations.
  Figure 271-01-065.  AI-guided autonomous fetal MRI
Summa Cum Laude AMPC Selected
Sara Neves Silva, Jordina Aviles Verdera, Alena Uus, Aysha Luis, Susanne Schulz-Heise, Sarah McElroy, Raphael Tomi-Tricot, Lisa Story, Jo Hajnal, MARY RUTHERFORD, Jana Hutter
King's College London, London, United Kingdom
Impact: A self-guided MRI examination was successfully developed, eliminating the need for specialist planning or offline processing and enabling future clinical translation of advanced fetal MRI techniques.
  Figure 271-01-066.  Infant Brain Growth from Portable uLF MRI in LMICs: Site, Sex, and Nutrition Effects in the First 1,000 Days
AMPC Selected
Sidra Kaleem, Victoria Nankabirwa, Samuel Oppong, Sadia Parkar, Maclean Vokhiwa, Krithika Iyer, Jeffrey Tanedo, Rahimeh Rouhi, Taylor Broudy, Niall Bourke, Kirsten Donald, Steven Williams, Sean Deoni, Natasha Lepore, Marius Linguraru, Austin Tapp
Aga Khan University, Kenya
Impact: By enabling population-based infant brain growth charts from portable ultra-low-field MRI across LMIC sites, this work supports earlier, equitable neurodevelopmental surveillance and evaluation of nutrition and perinatal programs, guiding evaluation of interventions when high-field MRI is unavailable or impractical.

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