Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

Artifacts and Correction Strategies

Oral

Acquisition & Reconstruction

Thursday, 14 May 2026

Ballroom West

13:40 - 15:30

Moderators: Jason Reich & Holger Eggers

Session Number: 605-02

No CME/CE Credit

Similar Sessions

Artefact correction strategies across various organs of interest.

Skill Level: Advanced

13:40		605-02-001. Prospective shimming for 3D EPI using FID navigators Miriam Hewlett, Jin Jin, Tess Wallace, Onur Afacan Boston Children's Hospital and Harvard Medical School, Boston, United States of America Impact: Real-time shimming for 3D EPI using FID navigators prospectively corrects respiration-induced $B_0$ field changes, noticeably reducing artifacts in SWI and improving quantitative accuracy in QSM.
13:51		605-02-002. Fast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Correction Leveraging Efficient GRAPPA Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Stephen Cauley, Kawin Setsompop Stanford University, Stanford, United States of America Impact: Mobile-GRAPPA incorporate detailed motion-and-dB₀-tracking into SENSE with minimal time-penalty, making feasible fast, high-quality reconstruction of highly-motion-corrupted data. Such approach should also be directly applicable to advanced-SENSE with ML-based priors, where high-temporal-resolution motion-and-dB₀ modeling is currently prohibitive.
14:02		605-02-003. Serial Acquisition of radiofrequency pulse MOdes (SAMO) to mitigate B1+ inhomogeneity in diffusion MRI at 7T Yining Chen, Warda Syeda, Remika Mito, Rebecca Glarin, Leigh Johnston, Christopher Rowe, Jennie Ponsford, Bradford Moffat University of Melbourne, Melbourne, Australia Impact: Our proposed SAMO technique for correcting B1+ inhomogeneity in diffusion MRI at 7T offers a solution for achieving homogeneous whole-brain coverage and improving subsequent quantitative diffusion analyses, without requiring additional hardware or complex modifications to existing pulse sequences.
14:13		605-02-004. Generalized data stitching for dynamic field monitoring with NMR probes: improving acquisition efficiency and accuracy Jinyuan Zhang, Tianxiang Zhen, Sisi Li, Zhentao Zuo, Cameron Cushing, Jing An, Rong Xue, Yan Zhuo, Kamil Ugurbil, Xiaoping Wu, Zihao Zhang Chinese Academy of Sciences, Beijing, China Impact: Enabling fast, accurate, robust dynamic field monitoring in demanding scenarios yet compatible with commercially available field monitoring hardware, our generalized data stitching is believed to have utility for ultrahigh-resolution MRI at ultrahigh field.
14:24		605-02-005. Multi-Echo SSFP: A Method for Synthetic bSSFP MRI Contrast without Banding Artifacts at High Field Haotian Hong, Michael Hoff, Wenchao Yang, Yiyun Dong, Zijian Zhou, Peng Hu ShanghaiTech University, Shanghai, China Impact: By eliminating banding without repeated scans, MESS‐synthesized SSFP dramatically improves imaging robustness. This can unlock reliable bSSFP‐based diagnostic protocols for brain, musculoskeletal, and functional applications, even at higher magnetic fields where standard bSSFP imaging can be challenging.
14:35		605-02-006. Phase-Pole-Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion Moritz Blumenthal, Martin Uecker Graz University of Technology, Graz, Austria Impact: NLINV estimates coil sensitivity maps from small AC-regions and non-Cartesian k-space centers. Phase pole correction further improves its robustness, such that NLINV emerges as an efficient and reliable tool for image reconstruction and coil sensitivity estimation in challenging MRI applications.
14:46		605-02-007. Phase-Cycled bSSFP Cardiac T1 Mapping: improving homogeneity of myocardial T1 assessment Sirui Huo, Zhuo Chen, Haiyang Chen, Juan Gao, Yixin Emu, Zhihao Xue, Chenxi Hu National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), Shanghai Jiao Tong University, Shanghai 200240, China Impact: The proposed method may improve inter-site and inter-vendor reproducibility of cardiac T1 measurement and diagnostic sensitivity for gray-zone T1 increases.
14:57		605-02-008. Myocardial wideband T2 mapping using gradient echo readout and advanced denoising for patients with implantable cardiac devic Pauline Gut, Hubert Cochet, Guido Caluori, Thomas Küstner, Panagiotis Antiochos, Ambra Masi, Juerg Schwitter, Frederic Sacher, Pierre Jaïs, Matthias Stuber, Aurelien Bustin Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland Impact: Our findings highlight the clinical potential of wideband GRE T2 mapping for accurate myocardial T2 quantification in a growing population of patients with implantable cardiac devices, offering a promising diagnostic tool for tissue characterization in ICD patients.
15:08		605-02-009. Deep Learning-based Automatic Ripple artifact Reduction with Optimal Wavelet-domain filtering (DL-ARROW) Jeanette Deck, Andreas Walch, Constantin von Deuster, Reto Sutter University of Zurich, Zurich, Switzerland Impact: Ripple artifacts from SEMAC can be automatically reduced using a DL-supported WD-Filter, without extending scan time or altering imaging protocols. This enables efficient post-processing and supports clinical integration by preserving workflow and improving diagnostic image quality.
15:19		605-02-010. Chemical shift separated and compensated ultra-short echo-time (UTE) imaging Martin Krämer, Lumeng Cui, Jürgen Reichenbach, Stefan Sommer Jena University Hospital, Jena, Germany Impact: The developed method robustly corrects for chemical shift-induced blurring in UTE imaging at both 3T and 7T. This significantly enhances image quality while simultaneously allowing for separation of fat and water from the same acquisition.