ISMRM25 - Applications of Advanced Acquisitions

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

Applications of Advanced Acquisitions

Digital Poster

Acquisition & Reconstruction

Wednesday, 14 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-18

No CME/CE Credit

		Computer Number: 17 3200. Visualizing Gastric Motility: Utilizing FLASH 2 Real-Time MRI and Artificial Intelligence for Quantification of Antral Peristalsis. View Presentation Video L. Großmann, L. Neubauer, L. Forstreuter, M. Blackledge, F. Mankertz, D. Voit, J. Frahm, W. Weitschies University of Greifswald, Greifswald, Germany Impact: FLASH 2 real-time MRI has been shown to be suitable for visualizing gastric motility of the stomach in fed state. Together with specifically trained artificial intelligence this could speed up the process to evaluate the peristaltic status of the stomach.
		Computer Number: 18 3201. Towards mid-field fMRI of DBS patients: Characterising electrode artefact using multi-echo GRE. View Presentation Video D. Martinez, S. Kashyap, K. Zaraska, A. Boutet, K. Uludag, I. Connell University of Toronto, Toronto, Canada Impact: 0.5 T reduces artefacts near DBS electrodes, enabling imaging with enhanced safety. This supports better fMRI applications for DBS patients, facilitating improved acquisition methods that can lead towards evaluating DBS effects on cognitive networks and treatment efficacy.
		Computer Number: 19 3202. Automated T1w/T2w Processing for Reliable and Efficient Myelination Assessment in Pediatric MRI T. Chen, L. Zhu, X. Wang, Y. Bian, S. Wang, Z. Cao, X. Li, F. Shi, J. Yang The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China Impact: The automated T1w/T2w processing method enhances the accuracy, speed, and clinical applicability of myelination assessment in pediatric MRI, supporting broader and more reliable clinical use.
		Computer Number: 20 3203. Quantitative in-vivo analysis of biomechanical properties reveals tissue stiffness changes during contraction of the thigh muscles. View Presentation Video D. Heesterbeek, M. van Riel, R. Sheombarsing, T. van Leeuwen, M. Froeling, C. van den Berg, A. Sbrizzi University Medical Center Utrecht, Utrecht, Netherlands Impact: Access to in-vivo stiffness parameters could give insight in muscle functionality. We developed an algorithm that is able to recontruct quantitative biomechanical properties from information acquired during a simple dynamic loading experiment without using boundary information.
		Computer Number: 21 3204. Utilisation of Clinical Knee MRI to Accelerate Quantitative T1ρ Imaging of Knee View Presentation Video J. Zhong, C. Huang, Z. Yu, F. Xiao, S. Li, O. Tim-Yun, H. Ki-Wai, Q. Chan, J. Griffith, W. Chen The Chinese University of Hong Kong, Sha Tin, NT, Hong Kong Impact: Our proposed technology reduces the T_1ρ contrast needed for fitting using the clinical PD-weighted MRI. This can contribute to clinical adoption of T_1ρ.
		Computer Number: 22 3205. Enhanced Attenuation Correction in Hybrid PET/MR Imaging Using a Deep-Learning-Based Continuous μ-Map Generation Framework View Presentation Video H. Wang, Y. Wang, Z. Lin, Z. Zhang, Y. Yang, Q. Huang, B. Li Shanghai Jiao Tong University, Shanghai, China Impact: The proposed framework enhances PET/MR accuracy, benefiting oncology and neurology diagnostics.
		Computer Number: 23 3206. Rapid T1 Relaxation Time Quantification with Enhanced Accuracy Using Simultaneous Acquisition of Phase-Encoding in Inversion-Recovery EPI View Presentation Video S. D. Yun, N. J. Shah Forschungszentrum Juelich, Juelich, Germany Impact: The proposed IR-EPI scheme enables effective geometric distortion correction in IR-EPI data, with only a negligible increase in scan time. Consequently, the greater structural similarity to co-registered MP2RAGE significantly enhances T₁ mapping accuracy, while providing rapid, whole-cerebrum acquisition at 7T.
		Computer Number: 24 3207. Prospective Motion Correction of Arterial Spin Labelling Demonstrated with Patient-Informed Motion View Presentation Video U. Lindberg, M. Laustsen, T. Ulrich, A. Perote, G. Crelier, H. Larsson, T. Gaass Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark Impact: This study demonstrates that prospective motion correction significantly enhances ASL image quality, making it more clinically viable for motion-prone patients. The findings encourage further exploration of real-time correction methods, potentially expanding ASL’s diagnostic applicability across diverse patient groups.
		Computer Number: 25 3208. Vendor-agnostic, open-source 4D flow View Presentation Video M. Maggioni, S. Räuber, F. Santini University of Basel, Allschwil , Switzerland Impact: This work provides open-source, vendor-agnostic implementations of 4D flow and gradient probing sequences. The latter enables mapping of gradient directionality, crucial to accurately interpret results. Together, they represent a building block towards a reproducible dynamic imaging protocol for skeletal muscles.
		Computer Number: 26 3209. Blood-brain barrier estimation from DCE MRI using physics-based deep learning approach View Presentation Video J. Banzi, A-M ILYAS, Y. LIU, H. LIU, Y. Zhang, J. HUANG, K. W. CHAN Hongkong Centre for Cerebro-Cardiovascular Health Engineering, Hongkong, Hong Kong Impact: The proposed deep learning approach demonstrates a reliable estimation of BBB parameters for DCE MRI using only a contrast-enhanced scan. It has the potential to facilitate the wide clinical use of DCE MRI.
		Computer Number: 27 3210. Ultra-fast multi-parametric quantitative imaging of the head and neck via 3D SSFP-multiple overlapping echo detachment (SSFP-MOLED) View Presentation Video J. Yang, K. Xiong, Q. Yang, L. Zhu, J. Zhou, L. Lin, J. Wang, Z. Chen, S. Cai, C. Cai Xiamen University, Xiamen, China Impact: 3D SSFP-MOLED can achieve ultra-fast multi-parameter quantification of M₀, T₁, T₂, T₂^*, B₁⁺, ΔB₀, with the characteristics of no distortion and self-registration, and has the potential for auxiliary clinical diagnosis of head and neck diseases.
		Computer Number: 28 3211. Initial Impression of MR Guided PET Reconstruction in Detecting Focal Cortical Hypometabolism in Epilepsy Patients View Presentation Video C. Lin, M. Spangler-Bickell, D. Litwiller, A. Smith, R. Pooley, E. Middlebrooks Mayo Clinic, Jacksonville, United States Impact: MR-guided PET reconstruction allows better visualization of focal cortical hypometabolism which may lead to improved diagnosis of epilepsy.
		Computer Number: 29 3212. A pulse sequence for single breath hold 3d fetal magnetization transfer View Presentation Video S. Sadanand, R. Stobbe, T. van Mieghem, S. Shinar, P. Krishnan, E. Miller, G. Stanisz, D. Sussman Toronto Metropolitan University, Toronto, Canada Impact: This work is a stepping stone toward clinical in utero metabolic and microstructural imaging. The development of this sequence demonstrates a framework that can be applied to other saturation transfer analytes, making endogenous metabolic and microstructural imaging more broadly applicable.
		Computer Number: 30 3213. Test-Retest Precision of Brain Metabolites in Healthy Participants using 31P-MRS and 1H MEGA-PRESS at 3T Multi-nuclear MRI System View Presentation Video S. Hu, W. Zhu, X. Zhang Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan,China, China Impact: This study reveals the range of reliability of MEGA-edited GABA+, Glx and 31P-MRS techniques in application.
		Computer Number: 31 3214. QSM source separation Reveals Iron Deposition in cerebral small vessel disease M. Feng, X. Liu, S. Zhang, B. Xu, J. Lu Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China Impact: In this study, we used QSM source separation to distinguish paramagnetic iron and diamagnetic myelin contributions, providing a strong theoretical basis and accuracy support for the existence of the phenomenon of iron deposition in deep nuclei in CSVD patients.
		Computer Number: 32 3215. Bipolar Readouts Improve Quantitative Performance of Motion-Robust, Flip-Angle Modulated PDFF and R2* Mapping at High R2* View Presentation Video J. Tang, D. Tamada, J. Starekova, A. Anagnostopoulos, A. Murphy, N. Duritsa, G. Fullerton, J. Wang, A. McMillan, A. Carrel, I. Rosado Mendez, S. Reeder, D. Hernando University of Wisconsin-Madison, Madison, United States Impact: Bipolar-FAM may facilitate free-breathing FAM-based fat and iron quantification in patients with elevated R2*. The faster bipolar readouts improve motion robustness and enable breath-held FAM, which provides consistently-registered slices with good breath-holds, and remains motion-artifact free with poor breath-holds.

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