Quantitative MRI Software: Tools and Applications
Digital Poster
Analysis Methods
Thursday, 14 May 2026
Software tools for quantitative MR imaging across organs
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668-03-001.
Open-Source Multi-Echo (TE) MRI Tool for Arterial Spin Labelling Imaging Protocols: Advanced Features in ASLtoolkit
Impact: Computational complexity hinders advanced ASL adoption. Our open-source, cross-platform ASLtoolkit simplifies multi-echo analysis (via CLI and 3D Slicer), enabling reproducible research on perfusion and BBB permeability, accelerating the study of neurovascular diseases.
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668-03-002.
microTorch: a software framework for fast and flexible diffusion MRI model fitting
Impact: Self-supervised model fitting is a promising technique in diffusion MRI. However, implementing different microstructure models and architectures remains challenging without a unified code base. Our microTorch framework simplifies self-supervised fitting, facilitating code sharing and reproducibility in diffusion MRI research.
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668-03-003.
VASAL: A Vascular Substrate Algorithm to Generate Microvascular Network Phantoms
Impact: VASAL enables in-silico blood flow simulations in realistic microvascular networks, enabling optimisation of dMRI sequences for sensitivity to specific microvascular features, validation of biophysical models, interpretation of subtle signal changes, and study of pathological microvascular alterations.
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668-03-004.
Rapid Physics-Consistent QTI Model Fitting using a Hierarchical Encoder-Decoder Network
Impact: By delivering rapid, physics-consistent QTI parameters from tensor-valued diffusion signals, our method enables whole-brain microstructure mapping in seconds, improves robustness for accelerated protocols, and broadens clinical adoption for disease characterization and large-scale cohort studies.
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668-03-005.
Accurate Estimation of Intravoxel Incoherent Motion Parameters Based on Implicit Neural Representation
Impact: By
combining INR's continuous function modeling capability with spatial-aware
feature design, IVIM-INR overcomes the inherent limitations of traditional
methods under noisy conditions, providing a more reliable tool for clinical
IVIM quantitative analysis.
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668-03-006.
Enabling Highly Accelerated Multi-shot IVIM-DWI with a DL Framework: Joint Image Reconstruction and Biomarker Estimation
Impact: The proposed data-sharing-guided framework enables the joint reconstruction of DW-images and the estimation of IVIM-biomarkers from highly accelerated 4-shot IVIM-DWI data, potentially improving quantitative IVIM-DWI assessment in cerebrovascular and neurological diseases.
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668-03-007.
Protocol generalisation for brain tissue microstructure estimation with geometric deep learning: a hypernetwork approach
Impact: The proposed work provides clinicians with a single machine learning model to obtain parametric maps regardless of b-value pair, b-vector directions, or fibre-direction distribution. This reduces retraining needs and improves clinical viability of microstructure estimation.
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668-03-008.
Kidneys are on FIRE
Impact: By automating renal T1 mapping and delivering
instant inline post-processing results, which are also stored in Picture Archiving and Communication System (PACS), this framework removes
key workflow barriers, with the target to accelerate the clinical adoption of
renal MRI.
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668-03-009.
Non-Gaussian Noise in AMARES Quantification Systematically Biases Dynamic MRS Kinetic Parameters
Impact: Spectral quantification algorithms produce non-Gaussian noise that systematically biases kinetic parameters in dynamic MRS. This affects multicentre trial comparability and diagnostic thresholds for both hyperpolarized 13C and 2H DMI, requiring noise characterization and reporting of spectral SNR.
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668-03-010.
Finding variance line artifacts in FMRI data using AFNI
Impact: Detecting and eliminating artifacts is important for researchers and clinicians. We describe a newly observed spatiotemporal artifact present in many FMRI collections, plus a tool to detect it. This improves quality control, artifact reduction, and reproducibility in neuroimaging.
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668-03-011.
An open standard for storing and transmitting an RF coil’s ID and detailed operating parameters to the scanner.
Impact: The proposed standard data format and transmission protocol identifies an RF coil's capabilities and operating parameters to the scanner. The standard meets the needs of the growing open-source MR community and makes the use of a local ID file unnecessary.
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668-03-012.
An automated pipeline to verify electrode positions in concurrent tDCS-MRI studies
Impact: Our newly
developed automated pipeline extracts electrode coordinates from MRI data,
enabling large-scale verification of placement accuracy. With our pipeline, deviations
from intended electrode positions can be linked to stimulation effects. In the
future, this may facilitate reproducible tDCS research.
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668-03-013.
Reproducibility of intravoxel incoherent motion imaging: impact of the fitting algorithm
Impact: By comparing IVIM fitting algorithms from the OSIPI IVIM code repository the impact of algorithm design choices on the reproducibility of IVIM parameters was assessed. Segmented nonlinear least squares algorithms showed the most reproducible results in simulated and in-vivo data.
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668-03-014.
Streamlining Multi-Site Neuroimaging Workflows: A Unified Interface for Data Harmonization, QC, and Analysis
Impact: This tool streamlines multi-site neuroimaging workflows by uploading, harmonizing, cleaning, and QCing data from diverse LMIC studies. It enables efficient derivative retrieval, visualization, and batch analysis, improving data quality, reproducibility, and accessibility for modeling and collaboration across sites.
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668-03-015.
Shape metric guided voxel localization for magnetic resonance spectroscopy with VoxLoc
Impact: An open-source, vendor-independent automated voxel localization tool, VoxLoc, in combination with existing fast and robust atlas-based image processing pipelines demonstrates plausible broad-use in real-time Magnetic Resonance Spectroscopy (MRS) study applications of brain pathology and psychiatric disorders.
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