Acquisition, Reconstruction, and Analysis
Digital Poster
Acquisition & Reconstruction
Monday, 11 May 2026
This session will cover the general area of new sequences and acquisitions.
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360-05-001.
Breath Hold 1H MRI Ventilation repeatability in healthy volunteers
Impact: Breath‑hold 1H lung MRI yields consistent spatial ventilation maps and reproducible percent ventilated volume when derived from intensity changes. This supports a rapid, contrast‑free option for longitudinal assessment whilst highlighting methodological considerations essential for standardizing breath-hold ventilation assessments.
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360-05-002.
Comparative Effects of Gadopentetate Dimeglumine and Gadobutrol on Extracellular Volume Fraction in CMR T1 Mapping
Impact: This study supports interchangeable use of gadopentetate dimeglumine and gadobutrol for CMR ECV quantification, enabling protocol standardization, multicenter trial consistency, and personalized contrast selection for patient safety, while prompting validation in diseased cohorts.
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360-05-003.
4D Flow MRI–Derived Metrics to Characterize Pulmonary Hypertension Phenotypes
Impact: 4D
Flow MRI reveals disease-specific energetic patterns in PH-HFpEF and PAH,
demonstrating potential as a sensitive, noninvasive, longitudinal tool for
differentiating pulmonary hypertension phenotypes and guiding more targeted
therapeutic and diagnostic approaches.
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360-05-004.
Birdcage Coil with Floating Inter-leg Loops for Improved Volumetric Homogeneity at 7T MRI
Impact: This design shows that floating loops can
improve $B_1^+$homogeneity
in conventional birdcage coils while preserving the simplicity of quadrature excitation.
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360-05-005.
Aortic tortuosity, pulse wave velocity, and age- and body habitus-related trends in healthy adults
Impact: This study shows associations between aortic tortuosity, age, and aortic
PWV in a healthy population, indicating that determinants of shape and
stiffness are multifactorial. It reports normative trends for aortic
tortuosity, providing foundation for identifying potential geometry-related cardiovascular
risk factors.
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360-05-006.
Automated Radiomic Analysis of Breast Tumor in Diffusion-Weighted MRI for Early Prediction of Neoadjuvant Therapy Response
Impact: Compared to a single mean ADC, radiomic features with machine learning models may improve the detection of early treatment-induced changes in the tumor microenvironment using breast DWI.
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360-05-007.
Differential diagnosis of soft tissue sarcoma based on MRI histogram metrics and quantification of intratumoral heterogeneity
Impact: This work introduces an automated segmentation model for soft tissue sarcoma (STS) and proposes an integrated diagnostic approach combining clinical-MRI features, histogram analysis, and ITH quantification to improve histological subtyping of STSs.
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360-05-008.
Development and Validation of a Multichannel 2.5D Deep Learning Model for Predicting Postpartum Hemorrhage from Placental MRI
Impact: This study develops a 2.5D deep learning model using placental MRI to provide a highly accurate, non-invasive tool for predicting postpartum hemorrhage risk, enabling better preparedness and improved maternal outcomes.
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360-05-009.
Deep learning-based high-resolution united compressed sensing for gadoxetic acid-enhanced liver MRI in the detection of color
Impact: DR-HR-uCS enhances small colorectal liver metastasis detection and diagnostic efficiency, reducing reader variability and interpretation time. This advancement enables faster, more reliable liver MRI evaluation and encourages future research on AI-driven high-resolution imaging for precision oncology and workflow optimization.
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360-05-010.
Liver DWI on a 1.5T High Performance Gradient System
Impact: Liver DWI on a 1.5T high performance gradient system demonstrated
reduced geometric distortions and improved SNR efficiency compared to 3T systems
and conventional gradient performance systems. These systems may improve
focal lesion detection and characterization and improve clinical imaging
efficiency.
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360-05-011.
Virtual MR Elastography from DWI: TSE Versus EPI for Differentiation of Pulmonary Lesions and Histologic Subtypes
Impact: Virtual MRE from routine DWI offers hardware-free stiffness surrogates. In a paired cohort, TSE-based vMRE improved image quality and group separations over EPI, demonstrating potential for lung-lesion characterization.
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360-05-012.
Reduction of noise and artifacts in MUSE breast DWI using deep learning-based phase correction: A phantom and reader study
Impact: This study demonstrates that deep learning based phase correction with ARDL significantly enhanced breast DWI image quality by improving SNR, structural clarity, and ADC accuracy, offering a promising solution for overcoming multi-shot EPI limitations in clinical breast MRI.
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360-05-013.
Initial experience of comprehensive evaluation of aortic noncalcified and calcified lesions using a novel MRA: REACT-MAX
Impact: A novel non-contrast magnetic resonance angiography technique, REACT-MAX, can simultaneously acquire magnetic resonance angiography, vessel wall, and bone images. REACT-MAX enables comprehensive evaluation of noncalcified, calcified, and high-intensity lesions on the aortic wall in a single scan.
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