Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts.

ABSTRACT:

Purpose

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

Methods

We compared five reference-based and five reference-free image quality metrics on data acquired with and without intentional motion (2D and 3D sequences). The metrics were recalculated seven times with varying pre-processing steps. The anonymized images were rated by radiologists and radiographers on a 1-5 Likert scale. Spearman correlation coefficients were computed to assess the relat

SUBMITTER: Marchetto E 

PROVIDER: S-EPMC11703327 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature