Multiparametric Quantitative MR Methods
Digital Poster
Acquisition & Reconstruction
Thursday, 14 May 2026
This session covers multi-parametric quantitative methods.
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666-02-001.
Discriminability-Aware Optimization for Magnetic Resonance Fingerprinting Sequence Design
Impact: The proposed discriminability-aware optimization enables MRF sequences to better distinguish tissues, leading to enhanced quantitative parameter mapping accuracy and robustness in both simulation and $\textit{in vivo}$ settings.
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666-02-002.
Towards standardizing Low-Field MRI: Multi-Parametric Phantom Comparison Across Sites
Impact: We demonstrate that quantitative mapping in low-field MRI can be consistent
across sites, despite hardware differences. Phantom comparisons help to
identify sources of variability and promote collaboration and knowledge
transfer, which is relevant for decentralized MRI research on novel applications.
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666-02-003.
Blood-Brain Barrier Water Exchange MR Fingerprinting Optimisation Using Differential Evolution and Latin Hypercube Sampling
Impact: Our optimised MRF sequence enables faster and more accurate blood-brain barrier (BBB) permeability measurements in silico, improving the feasibility of non-contrast BBB imaging.
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666-02-004.
New MR vascular Fingerprinting sequence for contrast agent-free cerebral blood volume, vessel radii and oxygenation estimates
Impact: The proposed MR sequence enables CA-free CBV, R and SO2 estimation. Our results could be used to improve brain microvascular studies and brain lesions management.
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666-02-005.
Ultrasonic Encoding to Enable Fast and Silent 3D Quantitative Mapping Using MR-STAT
Impact: We
demonstrate the feasibility of combining MR-STAT with ultrasonic encoding for
silent and accelerated 3D quantitative mapping. This work lays the foundation
for future integration with nonlinear encoding strategies, such as point spread
function (PSF) based frameworks.
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666-02-006.
MR Fingerprinting (MRF) using a BLADE trajectory.
Impact: A
proof-of-concept implementation of BLADE-MRF opens the door for evaluation of
MRF to broader clinical areas. Additionally, we introduced a trajectory
measurement mode into the framework providing a simple way for exploration of
trajectories and their clinical applications.
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666-02-007.
Reducing Undersampling Artifacts in MRF – Iterative Reconstruction and Optimized Acquisition
Impact: Quantitative relaxation time maps determined by MR
fingerprinting may be corrupted by undersampling errors that are not completely
incoherent. Techniques to reduce these errors may accelerate the inclusion of
MRF into clinical routine.
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666-02-008.
Repeatability of Magnetic Resonance Fingerprinting for long-term follow-up Neuroimaging
Impact: Applying quantitative relaxometry in longitudinal
neuroimaging requires long-term measurement stability. We found significant
differences in quantitative $T_1$ and $T_2$ calibration measurements made at baseline
and 6-month follow-up timepoints. Continuous calibration may be beneficial in longitudinal
studies.
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666-02-009.
Wideband Magnetic Resonance Fingerprinting for T1 and T2 Mapping Near Cardiac Implantable Electronic Devices
Impact: A wideband MRF (WB-MRF) technique, which adapts
the cardiac MRF framework with a modified flip angle schedule, a high-bandwidth
spiral readout, and wideband inversion pulses, provides improved T1 and T2
mapping accuracy with reduced artifacts in phantom studies at 1.5T.
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666-02-010.
Improved MR fingerprinting in brain tumor patients with MRF-shuffling
Impact: MRF shuffling enables accurate
and
robust tissue
parameter mapping in accelerated MRF, improving clinical feasibility
and potentially enhancing the assessment and characterization of brain tumors
in routine imaging.
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666-02-011.
MR Fingerprinting of Parotid Glands at 3.0T: Assessing Repeatability and Influences of Age, Smoking, and RT
Impact: Using 3.0-T MRF, we provide a repeatable, noninvasive framework to quantify parotid tissue characteristics. We establish normative T1/T2 values
and delineate age, smoking, and radiotherapy effects, laying groundwork for
imaging biomarkers to assess gland function and clinically stratify xerostomia
risk.
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666-02-012.
Can Multi-Parametric Mapping Sequences be Used for Conductivity Mapping? A feasibility test in Parkinson’s Disease
Impact: This work demonstrates the
reconstruction of high-quality quantitative conductivity maps from standard MPM
data. This is a step towards translating electrical properties tomography (EPT)
into a clinically accessible tool to evaluate neurological disorders through
quantitative measurement of tissue electrical biomarkers.
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666-02-013.
Development of Multiparametric MRI to Identify Myofascial Trigger Points Associated with Referred Pain in Plantar Fasciitis
Impact: This study aims to establish
quantitative imaging signatures of myofascial pain associated with plantar
fasciitis.
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666-02-014.
Multiparametric MRI Assessment of Age-related Changes in Healthy Calf Muscles
Impact: Multiparametric MRI, particularly T2 and
T1ρ mapping, enables early, noninvasive detection
of subtle muscle aging. These quantitative biomarkers can help researchers and
clinicians monitor muscle health, improving understanding of age-related degeneration
before overt fat infiltration or functional decline occurs.
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666-02-015.
Multiparametric Quantitative MRI Modeling of Intra- and Peritumoral Signals for Prediction of LVSI in Early-Stage CC
Impact: A compact, calibrated quantitative MRI model that integrates intratumoral signals with 5 mm peritumoral context enables preoperative LVSI prediction, complementing biopsy and visual reads and informing nodal assessment, surgical planning, and adjuvant-therapy discussions in routine care.
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