Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Novel Acquisition Methods

Digital Poster

Acquisition & Reconstruction

Monday, 11 May 2026

Digital Posters Row F

16:10 - 17:05

Session Number: 365-05

No CME/CE Credit

Similar Sessions

This session details new strategies towards a more efficient, bespoke or innovative MR acquisition.

		365-05-001. Exploring the application and impact of open-source denoising strategies to quantitative sodium (23Na) MRI in the human brain Samuel Rot, Louise Rosenqvist, Ben Prestwich, Bhavana Solanky, Hampus Olsson, Matthew Clemence, Sofia Nordberg, Susan Francis, Isabella Björkman-Burtscher, Maria Ljungberg, Claudia Gandini Wheeler-Kingshott University College London, London, United Kingdom Impact: Open-source, user-friendly denoising algorithms can increase SNR of sodium MRI, with limited impact on accuracy of total sodium concentration and image resolution. This represents an accessible, scalable and practical solution for improving the clinical appeal of a very SNR-limited technique.
		365-05-002. Application of CS-SPACE Sequence in Non-Contrast-Enhanced Portal Venous MR Venography Jiaqiang Lv, Mengxiao Liu, Chao Wei The First Affiliated Hospital of University of Science and Technology of China, Hefei, China Impact: Provides fast, safe non-contrast portal venography for HCC patients, especially those with renal impairment.
		365-05-003. Patient-Specific Optimization of Real-Time MRI for Lesion Conspicuity in MR-Guided Liver Biopsy Moritz Gutt, Daniel Düx, Othmar Belker, Frank Wacker, Bennet Hensen, Marcel Gutberlet Hannover Medical School, Hannover, Germany Impact: Patient-specific MR Fingerprinting maps let us simulate and set real-time imaging parameters that make liver lesions stand out during MR-guided biopsy. In our pilot, a simple flip-angle change improved predicted contrast, offering an immediately actionable path beyond one-size-fits-all site protocols.
		365-05-004. Quantitative Defect Mapping for Free-Breathing 19F Spiral UTE Truc Nguyen, Khoi Huynh, Sang Hun Chung, Courtney Wing, Yong Chen, Pew-Thian Yap, Jennifer Goralski, Yueh Lee University of North Carolina at Chapel Hill, Chapel Hill, United States of America Impact: Free-breathing spiral UTE 19F ventilation MRI with multidimensional denoising enables quantitative, free-breathing lung imaging. It preserves temporal dynamics, shows strong agreement with reference defect maps, and expands accessibility for patients with breath-holding limitations and for pediatric care.
		365-05-005. Food Intake Effect on Liver Perfusion Measurements. Yoshiki Kuwatsuru, Vadim Malis, Mitsue MIYAZAKI Juntendo University, Tokyo, Japan Impact: This study demonstrates that non-contrast Time-SLIP ASL with 3D iSoS enables independent evaluation of hepatic arterial and portal venous perfusion and can visualize physiological postprandial blood flow redistribution, offering a safe, repeatable, and contrast-free tool for assessing hepatic hemodynamics.
		365-05-006. Correlated diffusion–relaxometry of neurofluids with echo‑shifted mGRE (ES‑QUTE): insights into CSF complexity and glymphatic Ana-Maria Oros-Peusquens, Seonyeong Shin, N. Jon Shah INM-4, Forschungszentrum Jülich, Jülich, Germany Impact: ES‑QUTE provides quantitative, multi‑component T₂^* mapping and a mobility index simultaneously derived from diffusion weighting along the echo train, delivering high contrast‑to‑noise at the single‑voxel level. Correlated T₂^*–D spectra disentangle aspects of dephasing and mobility, improving understanding of CSF environments.
		365-05-007. Strain Evaluation Using DENSE MRI with View Sharing During Dobutamine Stress Testing – A Preliminary Study Yuxiao Wu, Mana Jameie, Thomas Coudert, Sile Wang, Shu-Fu Shih, Kim-Lien Nguyen, Xiaodong Zhong David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America Impact: Strain imaging using DENSE MRI with view sharing shows early feasibility in dobutamine stress testing. The higher temporal resolution achieved with view-sharing DENSE improves visual inspection and strain accuracy.
		365-05-008. Dynamic view ordering for motion artefact reduction in brain MRI Sophie Schauman, Henric Rydén, Adam van Niekerk, Ola Norbeck, Enrico Avventi, Tim Sprenger, Stefan Skare Karolinska Institutet, Solna, Sweden Impact: Dynamic view ordering makes 3D Cartesian MRI more motion robust by personalising the sampling order to the subject pose in real-time. This results in artefact reduction in motion prone populations, such as children, for more accurate diagnoses and neuroimaging research.
		365-05-009. Detecting the Undetected: Real-Time Anomaly Detection in the Female Pelvis Anika Knupfer, Johanna Müller, Jordina Aviles Verdera, Martin Fenske, Claudius Mathy, Smiti Tripathy, Sebastian Arndt, Matthias May, Michael Uder, Matthias Beckmann, Stefanie Burghaus, Jana Hutter Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany Impact: This work establishes a baseline for learning healthy female pelvic anatomy from MRI, enabling real-time reconstruction and deviation mapping through unsupervised deep learning, laying the foundation for a disease-agnostic framework accelerating diagnosis, improving reliability, and advancing AI in women’s imaging.
		365-05-010. Unpaired Physics- and Structure-Guided Learning for Synthetic Quantitative MRI Qian Wang, Peiran Xu, Yifan Gao, Yufeng Wang, Hsu-Lei Lee, Sreekanth Madhusoodhanan , Pascal Sati, Yibin Xie, Debiao Li UCLA, Los Angeles, California, United States of America Impact: The proposed method provides reliable T1/T2 maps from routine scans without paired labels or perfect physics, enabling retrospective multi-protocol analyses and biomarker discovery across sites through harmonization. It supports clinical application of quantitative MRI and broader medical image translation research.
		365-05-011. Sensitivity of SENCEFUL towards the administration of Gd- contrast agent Anne Slawig, Simon Graf, Ole Hensel, Walter Wohlgemuth Medical Physics Group, University Clinic and Outpatient Clinic for Radiology, University Hospital Halle (Saale), Germany Impact: SENCEFUL is robust to gadolinium-based contrast administration, allowing flexible integration into multimodal MRI protocols. Combined with cardiac MRI, SENCEFUL can efficiently bridge the waiting period for late gadolinium enhancement acquisition, keeping protocols compact while providing additional information.
		365-05-012. Tensor-Based MPPCA Denoising for Multi-Band Resting-State Functional Magnetic Resonance Imaging Data Feng Fang, Guangyu Dan, Zheng Zhong, Hongyu Li, Shruti Agarwal, Qi Liu United Imaging Healthcare North America, Houston, United States of America Impact: Tensor-based MPPCA denoising strategy can be employed for resting-state fMRI data acquired with a multi-band sequence, effectively suppressing noise while preserving neurophysiologically relevant low-frequency fluctuations.
		365-05-013. Novel Echo-wise Weighting Deep Learning Physics-Informed Model for Fat-Water Quantification Moorthy Ganeshkumar, Devasenathipathy Kandasamy, Amit Mehndiratta Indian Institute of Technology, Delhi, India Impact: Physics-informed Deep Learning-based Zero-Shot-models have shown potential in improved fat-water separation with multi-echo MRIs. However, fat-water swap artifacts in their generated maps still cause inaccurate fat quantification. This study investigates a potential idea of echo-wise-weighting to improve their noise performance.