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#mri

3 curated events
papersTODAY 04:00 UTC

CyFM: Cylindrical Optimal Transport Method for Few-Step Complex-Valued Flow Matching

A new arXiv paper proposes CyFM, a technique that applies optimal transport on a cylindrical geometry to generate complex-valued signals in few sampling steps. Rather than treating data such as MRI scans and audio spectrograms as flat two-channel Euclidean inputs, the method models amplitude and phase separately. The authors argue this representation better matches the structure of complex signals for generative modelling.

flow-matching/optimal-transport/mri/arxiv
papersSEP 10 04:00 UTC

PRIME-SVR: Physics-informed slice-to-volume reconstruction for fetal brain T2 mapping

Researchers have introduced PRIME-SVR, a physics-informed implicit reconstruction method that turns motion-corrupted 2D fetal MRI slices into high-resolution 3D brain volumes with quantitative T2 mapping. The approach builds on standard slice-to-volume reconstruction by adding multi-echo signal modeling, targeting improved quantitative imaging of the developing fetal brain.

medical-imaging/mri/fetal-health/deep-learning
papersSEP 10 04:00 UTC

SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI

Researchers present SA-Profile, an automated approach for measuring the femoral sulcus angle from super-resolution knee MRI scans. The sulcus angle helps characterize trochlear dysplasia, a femoral abnormality linked to anterior knee pain and patellar instability, but is traditionally assessed by hand on a single axial slice. Automating this profiling aims to make trochlear morphology assessment more consistent and reproducible.

medical-imaging/mri/orthopedics/research