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

Digital Poster

MOCO from Head to Toe

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MOCO from Head to Toe
Digital Poster
Acquisition & Reconstruction
Monday, 11 May 2026
Digital Posters Row A
08:20 - 09:15
Session Number: 360-01
No CME/CE Credit
Similar Sessions
Motion correction in all its forms from head the toes.
  Figure 360-01-001.  A self-navigated motion-correction CEST technique on 3T and its preliminary clinical application for CKD detection
Tao Quan, Zelong Chen, Yizhe Zhang, Wenyan Zhang, Yeying Sun, Zhifeng Chen, Yikai Xu, Yanqiu Feng
School of Biomedical Engineering, Southern Medical University, Guangzhou，Guangdong, China
Impact: This method provides a stable, free breathing CEST-MRI technique for clinical patients and offers its clinical preliminary validation in nephrology.
  Figure 360-01-002.  Uncovering errors in existing simulators of motion artefact for 3D MRI – assessment with analytical phantom
Tianqi Wu, Gary Zhang
University College London, London, United Kingdom
Impact: We demonstrate that a recently proposed analytical phantom–enabled assessment scheme can reveal hitherto unknown implementation errors in several existing MRI motion-artefact simulators, illustrating the importance of the scheme for ensuring the accuracy of future motion-artefact simulators.
  Figure 360-01-003.  Rapid Prospective Motion Correction for Phase Contrast MRI Using MRI-Visible Calibrationless Electromagnetic Induction Coils
Zhanbin Dong, Tuo Yu, Xuanzhe Yao, Xiaopeng Zong
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Impact: The proposed motion tracking system could benefit MRI exams of motion-prone patients. MRI-visibility simplifies exam workflow and enhances motion tracking reliability in complex clinical settings.
  Figure 360-01-004.  Comparison of Pencil-beam Auto Navigator and Self-navigator for Abdominal Motion Management in Non-axial Radial MRI
Xinzeng Wang, Sihao Chen, Nathan Roberts, Ty Cashen, Yavuz Muslu, Arnaud Guidon
GE Healthcare, Houston, United States of America
Impact: This study demonstrates the superior robustness of Auto Navigator compared to soft-navigator in radial MRI for free-breathing abdominal imaging. It also highlights key opportunities for improving self-navigator performance.
  Figure 360-01-005.  Multi-stage multi-step motion and phase correction for distortion-free multi-shot EPI DWI with corrupted navigator
Zhiqiang Li, Norbert Campeau, Daehun Kang, John Huston III, Joshua Trzasko, Yunhong Shu, Myung-Ho In
Mayo Clinic, Rochester, United States of America
Impact: The proposed motion and phase correction strategy incorporating data corruption detection and mitigation substantially improves image quality in navigator-based multi-shot EPI DWI affected by head motion or corrupted navigators and may be extendable to other multi-shot DWI techniques.
  Figure 360-01-006.  Assessment of B1 receive artifacts and ICA-based correction in resting-state fMRI with large head movements
Ashkan Faghiri, Douglas Greve, Shahrokh Abbasi-Rad, Andre van der Kouwe, Robert Frost
Harvard Medical School, Boston, United States of America
Impact: We investigate the impact of B1 receive artifacts, a major secondary effect of motion, on resting-state fMRI connectivity. Head motion experiments show these artifacts persist after prospective and retrospective motion correction; ICA-based analysis can reduce them, but with information loss.
  Figure 360-01-007.  High-fidelity, High-resolution 7T EDGE-MPRAGE by Universal Pulse and FatNav: Protocol Optimization and In Vivo Imaging
Yuancheng Jiang, Jianxun Qu, Franck Mauconduit, Daniel Gallichan, Caohui Duan
MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China
Impact: The proposed acquisition and reconstruction method enables robust, high-resolution EDGE-MPRAGE at 7T. This may allow clinicians to detect subtle focal cortical dysplasia lesions obscured by artifacts, potentially improving diagnosis and surgical planning for patients with epilepsy.
  Figure 360-01-008.  Combining prospective and retrospective motion correction using SAMER for rapid and motion robust 2D FSE/TSE imaging
Hongli Fan, Bryan Clifford, Michael Koenig, Daniel Nicolas Splitthoff, Daniel Polak, Simon Warfield, Stephen Cauley
Siemens Medical Solutions USA, Inc., Malvern, United States of America
Impact: We demonstrate the benefits of using SAMER derived motion estimates for the prospective guidance of FoV updates during rapid 2D FSE/TSE imaging. The combination of these motion correction strategies leads to significant improvement in image quality, especially for through-plane motion.
  Figure 360-01-009.  Prospective motion correction for 3D EPI using FID navigators
Miriam Hewlett, Hongli Fan, Kelvin Chow, Tess Wallace, Onur Afacan
Boston Children's Hospital and Harvard Medical School, Boston, United States of America
Impact: FID-based prospective motion correction improves the motion robustness of 3D EPI using a relatively short calibration scan. It offers potential for image quality improvements in applications such as SWI, QSM, and fMRI, particularly for motion-prone patient populations.
  Figure 360-01-010.  FatNav-based retrospective motion correction in the 3D TSE sequence at 11.7 T
Basile Rappeneau, Joseph Obriot, Franck Mauconduit, Daniel Gallichan, Nicolas Boulant
Université Paris-Saclay, CEA, CNRS, BAOBAB, Neurospin, Gif-sur-Yvette, France
Impact: Improvements of image quality demonstrate the capability of FatNav navigator to be used for retrospective motion correction for whole brain imaging with the 3D-TSE sequence at 11.7 T.
  Figure 360-01-011.  Radiologist assessment of retrospective motion correction for silent ZTE MRI: a pilot study
Chu-Yu Lee, Curtis Corum, Vincent Magnotta, Mathews Jacob, Yan Chen, Josh Hanson, Brian Smith, Lillian Lai, Joan Maley, Yutaka Sato, Takashi Shawn Sato, James Holmes
University of Iowa, Iowa City, United States of America
Impact: Integration of motion correction to silent ZTE MRI improved radiologists’ confidence level to evaluate different brain regions. This mitigated sensitivity to head motion adds to the benefits of ZTE MRI and expand its potential applications in pediatric neuroimaging without sedation.
  Figure 360-01-012.  FatNav-Enabled Motion Correction for Robust 7T 3D T1 MPRAGE in Clinical Imaging
yumeng li, Caohui Duan, Huili Wang, Xiangbing Bian, Yuancheng Jiang, Jianxun Qu, Franck Mauconduit, Daniel Gallichan, Xin Lou
The First Medical Center, Chinese PLA General Hospital, Beijing, China
Impact: FatNav enables robust, motion-resilient 7T T1 imaging, prevents nondiagnostic scans, and ensures reliable clinical assessment of vessels and brain structure.
  Figure 360-01-013.  Real-Time Prospective Correction of Through-Plane Translations in 2D TSE using Integrated Slice Velocity Navigator
Abubakr Eldirdiri, Bo Li, Thomas Ernst
University of Maryland School of Medicine, Baltimore, United States of America
Impact: Motion-induced slice alignment errors in 2D-TSE scans can cause severe artifacts. We report the first prospective correction of these errors using our novel real-time navigator, demonstrating a new method to prevent artifacts and showing promise for improving 2D scan quality.
  Figure 360-01-014.  Zero-Shot Self-Supervised Reconstruction with Channel Attention Mechanism for Motion-Resolved Radial Abdominal MRI
Sorravit Akrasirakul, Hendrik Mattern, Oliver Speck, Uten Yarach
Chiang Mai University, Chiang Mai, Thailand
Impact: ZS-SSL with channel attention provided modest improvements over the state-of-the-art GRASP method in reducing streak artifacts, highlighting its potential as an efficient alternative for motion-resolved MRI reconstruction without external training data.
  Figure 360-01-015.  Validation of A Data-Consistent Retrospective Respiratory Motion Correction Method in Multi-Channel Human MRI Data
Liliana Edmonds, Michael Fieseler, Christian Licht, George Soultanidis, Georg Schramm, Klaus Schafers, Zahi Fayad, Philip Robson, Fernando Boada
Stanford University, Stanford, United States of America
Impact: 
Motion fields from robust data-consistent motion-correction will enable joint respiratory gating of PET/MR data in hybrid scans. This advances clinical feasibility of PET/MR for abdominal imaging by reducing radiation exposure compared to PET/CT and enabling free-breathing for motion-sensitive populations.

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