Traditional Poster
Image Reconstruction & Software
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
Traditional Poster
Image Reconstruction & Software
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5220. Optimization
of Scan Specific 3D Probabilistic Mask using Few Multi-Axial
Slices Simulating Scout Scans for MRI Reconstruction
Y. Song, H. Kim, D. Hwang
Yonsei University, Seoul, Korea, Republic of
Impact: This study enables faster, high-quality 3D MRI
with scan-specific undersampling patterns, potentially
reducing scan times in clinical settings. It could improve
patient experience, increase MRI accessibility, and enhance
outcomes when combined with 3D MR reconstruction network
research.
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5221. A
Patch-Based Hankel Low-Rank Method for MRI Reconstruction
X. Zhang, H. Lu, Y. Huang, L. Rao, T. Tan, T. Tong
Fuzhou University, Fuzhou, China
Impact: The proposed scheme has the flexibility to
potentially improve all Hankel low-rank methods across
various applications, providing fast and high-quality MRI
reconstruction.
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5222. Improved
assessment of microbleeds by highly-accelerated 3D SWAN imaging
with deep learning-based reconstruction.
Y. Ishimoto, T. Shintaku, S. Ide, K. Watanabe, K. Oyu, S.
Kasai, M. Sasaki, H. Nagaya, S. Tatsuo, A. Nozaki, X. Zhu,
B. Burns, T. Wakayama, S. Kakeda
Hirosaki University Graduate School of Medicine, Hirosaki-shi, Japan
Impact: DLS-SWAN can potentially be useful as a rapid 3D
T2* technique for screening MRI at baseline in patients
undergoing monoclonal antibody therapy for Alzheimer
disease.
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5223. Unsupervised
Deep Learning Framework for Accelerated LGE MRI Acquisition with
Enhanced Image Reconstruction
M. H. H. Hisham, S. Elhabian, G. Adluru, A. Arai, E.
Kholmovski, R. Ranjan, E. Dibella
University of Utah, Salt Lake City, United States
Impact: The network enables high-quality cardiac LGE
imaging in 2-4 minutes, representing a significant
advancement in clinical workflow efficiency and patient
comfort. The reduced acquisition time could expand the
accessibility of 3D LGE studies of atrial fibrillation
patients.
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5224. Prospective
comparison of Image quality and diagnostic performance of focal
liver lesions between 0.55T MRI and conventional 1.5T MRI
K. Wang, W. Li, X. Wang, X. Liu, J. Zhu, X. Wang, K. Zhou,
M. Nickel, J. Qiu
Peking University First Hospital, Beijing, China
Impact: Fast 0.55T-DL MRI can enhance the detection and
diagnosis of focal liver lesions in the upper abdomen.
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5225. Multi-fraction
image reconstruction for radiotherapy on an MR-Linac
B. Lecoeur, P. Nair, B. Eiben, J. Gough, J. Chick, K.
Aitken, U. Oelfke, W. Luk, A. Wetscherek
The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom
Impact: Image quality on an MR-Linac can lead to slow
contouring of abdominal tumours, limiting the potential of
adaptive MR-guided radiotherapy. Combining raw data across
fractions can improve image quality, potentially reducing
clinical workloads and enabling novel real-time adaptive
treatment workflows.
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5226. An
open-source framework for cloud data processing from low-field
scanners
T. Guallart-Naval, J. M. Algarin, F. Galve, J. Stairs, M.
Hansen, J. Alonso
Institute for Instrumentation in Molecular Imaging (i3M), CSIC, Valencia, Spain
Impact: This work connects affordable low-field MRI
scanners to some of the most powerful computational cloud
resources, where it shall be possible to execute strictly
any tool that can be loaded into a Docker image.
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5227. Fully
Generalizable Few Shot Alternating Gradient Descent and
Minimization for Real-Time Dynamic MRI
S. Babu, S. Lingala, N. Vaswani
Iowa State University, AMES, United States
Impact: This algorithm enhances real-time MRI by
improving reconstruction image quality across multiple
applications, making it a valuable tool for clinical and
research settings.
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5228. A
Mixed Precision Conjugate Gradient Method for Efficient
Iterative MRI reconstruction
N. Deveshwar, P. Larson
University of California, San Francisco, San Francisco, United States
Impact: Iterative reconstruction algorithms could
possibly be implemented on low performance and cheaper
compute hardware with further algorithmic stability
enhancements.
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5229. IDEAL-reconstructed
Seiffert Spirals for preclinical 13C metabolic MRSI at 11.7 T
J. Schüle, T. Speidel, F. Bschorr, C. A. Müller, V. Rasche
Ulm University Medical Center, Ulm, Germany
Impact:
The reconstructed metabolite images using Seiffert Spirals showed potential for rapid imaging with a lower number of readouts compared to other acquisition techniques in combination with IDEAL, possibly enabling single-shot trajectories to be combined with hyperpolarized probes. |
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