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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Power Pitch

Image Reconstruction, Motion Correction & Artifacts

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Image Reconstruction, Motion Correction & Artifacts
Power Pitch
Acquisition & Reconstruction
Monday, 12 May 2025
Power Pitch Theatre 1
16:00 -  18:00
Moderators: Durga Udayakumar & Ye Tian
Session Number: PP-01
No CME/CE Credit

16:00
Screen Number: 1
0323. Feasibility of Water-Fat Separation for 2D Cardiac CINE Imaging with a Phase-Sensitive Approach on a 0.6T magnet
D. Wang, T. C. Chao, J. Browne, E. Ercan, M. Povazan, S. Waddle, J. Smink, T. Leiner
Mayo Clinic, Rochester, United States
Impact:

Water and fat signals become difficult to separate with midfield MRI scanners. The presented work utilizes an EPI scan to improve scan speed of a cine series while achieving fat and water separation with the phase information.

 

16:02
Screen Number: 2
0324. Free-Running Time-Resolved 3D+time Cardiovascular MRI at 40 Hz in a One Minute Scan using Cartesian Sampling and CMR-MOTUS
T. Olausson, M. Terpstra, E. Versteeg, C. Beijst, S. M. Arshad, B. Velthuis, C. van den Berg, A. Sbrizzi
University Medical Center Utrecht, Utrecht, Netherlands
Impact: By extracting high-quality time-resolved 3D motion fields at a very high temporal resolution (40Hz), the entire acquisition can be leveraged in the image reconstruction, hence shorter scans. Additionally, time-resolved cardiovascular volumetric analysis is enabled i.e. time-propagating segmentations using motion fields. 
16:04
Screen Number: 3
0325. Contactless Fiber-Optic Photoplethysmography-based Gating for Flow MRI.
S. Emery, M. Fütterer, S. Kozerke
ETH and University of Zürich, Zürich, Switzerland
Impact: Contact forehead-PPG offers a simple approach to cardiac gating with reduced latency relative to peripheral pulse units, potentially easing clinical workload and enhancing patient comfort.
16:06
Screen Number: 4
0326. Sensor-free physiological guidance for free-breathing cardiac cine reconstruction using CineJENSE: example of an arrhythmic patient
L. Quillien, M. Doguet, N. Vogt, Z. Al-Haj Hemidi, P-A Vuissoz, J. Oster
IADI, INSERM U1254, Université de Lorraine, Nancy, France
Impact: Sensor-free physiological signal estimations using noise variance from k-space data for free-breathing ungated cardiac cine reconstruction were shown for two examples (healthy volunteer and arrhythmic patient). Results showed good concordance with reference signals and the reconstructions could be performed. 
16:08
Screen Number: 5
0327. Enhanced cardiac motion capture during respiration via RF receiver cardiac focusing with respiratory motion compensation
Z. Hu, H-L Lee, T. Cao, J. Finn, K-L Nguyen, A. Christodoulou
David Geffen School of Medicine, UCLA, Los Angeles, United States
Impact: The combination of MoCo and ROVir prioritizes modeling of cardiac motion, suppresses respiratory motion, and reduces artifacts. The improved respiratory handling from these techniques may provide an avenue for free-breathing scanning in pediatric patients with CHD. 
16:10
Screen Number: 6
0328. Deep Learning-Driven ECG Synthesis from Beat Pilot Tone Signals for Physiological Monitoring and Image Reconstruction
H. Sun, S. Zhong, Q. Ding, P. Lee, Z. Zhang
Shanghai Jiao Tong University, Shanghai, China
Impact: This work explores the potential for contactless ECG monitoring during MRI, improving patient comfort and workflow. Compared to BPT-derived cardiac signals, the synthesized ECG better suits clinicians' interpretation habits, potentially enhancing physiological monitoring. Additionally, it offers sharper signals for triggering.
16:12
Screen Number: 7
0329. Evaluation of high-amplitude pilot-tone with interference cancellation (HAPTIC) cardiac gating at 0.55T in the challenging case of arrhythmia
B. Tasdelen, E. Yagiz, Y. Tian, K. Nayak
University of Southern California, Los Angeles, United States
Impact: HAPTIC could potentially replace ECG gating, even in patients with cardiac arrhythmia. This would simplify clinical workflow and serve scanners that do not have an integrated ECG.
16:14
Screen Number: 8
0330. Subspace Implicit Neural Representations for Real-Time Cardiac MR Imaging
W. Huang, V. Spieker, S. Xu, G. Cruz, C. Prieto, K. Hammernik, T. Küstner, D. Rueckert
Technical University of Munich, Munich, Germany
Impact: This method provides a novel reconstruction approach for real-time cardiac MRI with continuous radial acquisition, and will potentially reducing scan times and improving diagnostic capabilities, especially for imaging arrhythmias and characterizing beat-to-beat dynamics compared to conventional approaches.
16:16
Screen Number: 9
0331. Frequency Modulated Continuous Wave Radar-based prospective respiratory motion correction: Initial application for 2D cardiac cine MRI
J. Diao, Y. Ren, W. Liu, P. Liu, H. Wang, J. Zhu, J. Xu, Z. Zhou, H. Qi, P. Hu
ShanghaiTech University, Shanghai, China
Impact:  In this study, we demonstrated that the FMCW radar signal is a suitable surrogate for motion estimation and correction. The proposed respiratory motion-correction technique shows promising potential in reducing motion artifacts in cardiac MRI.
16:18
Screen Number: 10
0332. Correction of Respiratory Motion in Free-Breathing DCE-MRI using a Pilot-Tone Coil
R. Zi, M. Bacher, P. Speier, R. Lattanzi, K. T. Block
New York University Grossman School of Medicine, New York, United States
Impact: The PT technique offers accurate detection of respiration and enables motion-weighted reconstruction to reduce motion blurring in free-breathing DCE-MRI. It is easy to use, without need to place belts or sensors when using a body coil with integrated PT transmitter.
16:20
Screen Number: 11
0333. Exploring SNR-Enhanced Reconstruction Techniques for Mesoscale Resolution BUDA-cEPI Diffusion MRI
A. Suwannasak, C. Liao, K. Setsompop, I. Chatnuntawech, U. Yarach
Chiang Mai University, Chiang Mai, Thailand
Impact: Our exploration may provide the advancement of superb and appropriate dMRI reconstruction for high-fidelity dMRI at mesoscale resolution on clinical scanners by addressing SNR challenges and preserving fine anatomical details critical for accurate diagnosis and analysis. 
16:22
Screen Number: 12
0334. ACE-Net: AutofoCus-Enhanced Convolutional Network for Field Imperfection Estimation with application to high b-value spiral Diffusion MRI
M. Gao, Z. Shah, X. Cao, D. Abraham, N. Wang, K. Setsompop
Stanford University , Stanford, United States
Impact: We show accurate automatic estimation of spatiotemporal B0 and eddy field imperfections, which enables high-quality high b-value spiral diffusion imaging without additional calibration scans/field-probe measurements, should also prove useful to several other rapid imaging schemes and applications.
16:24
Screen Number: 13
0335. A Test-Retest Study of Single- and Multi-Delay pCASL for Choroid Plexus Perfusion Imaging in Healthy Subjects Aged 19 to 87 Years
Z. Liu, Q. Shou, K. Jann, C. Zhao, D. Wang, X. Shao
University of Southern California, Los Angeles, United States
Impact: Single and multi-delay ASL showed similar test-retest repeatability for measuring ChP perfusion. However, the underestimation of ATT with single-delay ASL affects the accuracy of the results. Multi-delay ASL with model-fitting analysis is recommended for measuring ChP perfusion. 
16:26
Screen Number: 14
0336. Assessing the Influence of Preprocessing on the Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion
H. Eichhorn, E. Marchetto, D. Gallichan, J. Schnabel, M. Ganz
Helmholtz Munich, Neuherberg, Germany
Impact: This study underscores the critical role of preprocessing choices for reliable image quality evaluation. We strongly recommend documenting all preprocessing steps in future studies. Our results further demonstrate that reference-based metrics correlate more reliably with radiological assessments than reference-free metrics.
16:28
Screen Number: 15
0337. Leveraging Acquisition Knowledge to Enhance Robustness of Physics-Informed Motion Correction for T2* Quantification
H. Eichhorn, V. Spieker, K. Hammernik, E. Saks, L. Felsner, K. Weiss, C. Preibisch, J. Schnabel
Helmholtz Munich, Neuherberg, Germany
Impact: Our proposed extensions enhance PHIMO’s reconstruction performance and line detection robustness, making T2*-quantification more reliable under various motion conditions. The enhanced PHIMO reaches the performance of a state-of-the-art correction method, while accelerating the acquisition by over 40%, facilitating clinical applicability.
16:30
Screen Number: 16
0338. Navigator-Assisted Fast Motion-Compensated Brain MRI
J. Meineke, K. Sommer, O. Lips, J. Keupp
Philips Innovative Technologies, Hamburg, Germany
Impact: Making accurate and fast motion-compensated brain MRI without additional devices available will reduce costs associated with non-diagnostic images and resulting rescans.
16:32
Screen Number: 17
0339. Motion corrected MP2RAGE neonatal imaging at ultra-high field with inline reconstruction.
D. West, Z. Ning, A. S. Dokumaci, Y. Brackenier, L. Cordero-Grande, R. Tomi-Tricot, S. McElroy, P. Bridgen, P. Di Cio, S. Giles, I. Tomazinho, C. Da Costa, D. Gallo, A. Bonthrone, J. Cleary, T. Arichi, J. Hajnal, S. Malik
King's College London, London, United Kingdom
Impact: DISORDER acquisition and reconstruction significantly improves the quality of T1w neonatal imaging at 7T using MP2RAGE, as indicated by both quantitative metrics and radiological scoring. Deployment of Gadgetron-based inline DISORDER reconstruction enables scanner preview of the motion corrected 3D volumes.
16:34
Screen Number: 18
0340. Real-time quantitative MRI enabled by scanner integrated machine learning: a proof of principle with NODDI
S. Rot, I. Dragonu, D. Thomas, D. Alexander, H. Zhang
UCL, London, United Kingdom
Impact: Real-time, online qMRI parameter estimation with the presented strategy resolves a key practical barrier to clinical uptake of qMRI methods and enables their efficient integration into clinical workflows. 
16:36
Screen Number: 19
0341. Deep Learning Optimization of Acquisition-Parameter and Slice-Ordering Schedule for Fast Quantitative Multi-Slice CEST
O. Cohen, R. Young, R. Otazo
Memorial Sloan Kettering, New York, United States
Impact: This work proposes a novel deep learning framework that enables simultaneous optimization of continuous and discrete scan parameters for a rapid quantitative multi-slice CEST sequence. The proposed method provides acquisition schedules that enable quantitative CEST imaging with lower error.
16:38
Screen Number: 20
0342. A High Signal-to-Interference Ratio Two-dimensional Reduced-FOV Imaging Method
P. Yuan, J. Zhou, C. Wang, K. Lin, P. Luo, F. Qi, L. Chen, B. Qiu
University of Science and Technology of China, Hefei, China
Impact: Our method integrates k-space local linear dependencies with the ROVir principle, effectively improving peripheral signal suppression in 2D rFOV imaging, enhancing SIR, and eliminating wrap-around artifacts. It can be applied in various applications, including specific organ imaging and real-time imaging.
16:40
Screen Number: 21
0343. Nex-Gen Personalized MRI: Boosting Low-Field MRI Reconstruction with a Feature-Fusion Transformer and High-Field Priors
T. Oved, E. Shimron
Technion – Israel Institute of Technology, Haifa, Israel
Impact: We introduce ViT-Fuser and the hybrid loss, a promising solution for accelerating and enhancing low-field MRI by leveraging high-field reference scans from the same subject. Our approach defines a personalized imaging strategy and outperforms state-of-the-art reconstruction methods and losses.
16:42
Screen Number: 22
0344. Efficient multi-echo steady-state imaging with spatial-resolution enhancement
C. Beitone, M. Chiew, K. Miller, N. Bangerter, P. Lally
Imperial College London, London, United Kingdom
Impact: Our proposed strategy shows promise as an efficient trade-off between high spatial-resolution, artifact minimisation, and SNR requirements, enabling efficient relaxometry and morphological imaging in a single rapid protocol.
16:44
Screen Number: 23
0345. Multi-coil multi-contrast joint reconstruction with protection from hallucination: Application to low-field MRI
A. Atalik, S. Chopra, D. Sodickson
New York University, New York, United States
Impact: MR images from different contrast weightings share substantial information. When this shared information is rigorously leveraged, high acceleration levels can be achieved, even in low-field settings, enabling efficient workflows and facilitating broader adoption.  
16:46
Screen Number: 24
0346. Enhanced Volumetric Brain MRI with Simultaneous Multi-Contrast Imaging: A Spiral Spin-Echo Sequence with Localized Quadratic Encoding
G. Krishnamoorthy, J. Pipe
University of Wisconsin, Madison, Madison, United States
Impact: This MRI sequence enables high-quality, simultaneous T2, T2*, and PD imaging with volumetric coverage and isotropic resolution. Its optimized SNR and artifact reduction improve diagnostic accuracy and cross-contrast alignment, enhancing clinical brain imaging effectiveness.
16:48
Screen Number: 25
0347. Run-time motion and f0 control for 3D-EPI fMRI using short servo navigators
M. Riedel, T. Ulrich, S. Bianchi, K. Prüssmann
ETH Zurich and University of Zurich, Zurich, Switzerland
Impact: Servo navigation achieves run-time motion und field correction for 3D-EPI fMRI with high-precision, short navigators, and rapid on-the-fly calibration. The navigators are automatically drawn from the set imaging volume without external tracking instrumentation enabling plug-and-play motion correction for 3D fMRI.
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