New publication at Magnetic Resonance Materials in Physics, Biology and Medicine

“Agreement of image quality metrics with radiological evaluation in the presence of motion artifacts” by Elisa Marchetto and Hannah Eichhorn et al. has been accepted for publication in Magnetic Resonance Materials in Physics, Biology and Medicine. Check the paper here: https://doi.org/10.1007/s10334-025-01266-y.

Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of common reference-based and reference-free image quality metrics on unique datasets with real motion artifacts, and analyze the metrics’ robustness to typical pre-processing techniques.

Reference-based metrics reliably correlate with radiological evaluation across different sequences and datasets. Pre-processing significantly influences correlation values. Future research should focus on refining pre-processing techniques and exploring approaches for automated image quality evaluation.

Open Research

The code is available at https://github.com/melanieganz/ImageQualityMetricsMRI.

We used a publicly available dataset (https://openneuro.org/datasets/ds004332/versions/1.1.3).