A systematic review of (semi-)automatic quality control of T1-weighted MRI scans.

ABSTRACT:

Purpose

Artifacts in magnetic resonance imaging (MRI) scans degrade image quality and thus negatively affect the outcome measures of clinical and research scanning. Considering the time-consuming and subjective nature of visual quality control (QC), multiple (semi-)automatic QC algorithms have been developed. This systematic review presents an overview of the available (semi-)automatic QC algorithms and software packages designed for raw, structural T1-weighted (T1w) MRI datasets. The objective of this review was to identify the differences among these algorithms in terms of their features of interest, performance, and benchmarks.

Methods

We queried PubMed, EMBASE (Ovid), and Web of Science databases on the fifth of January 2023, and cross-checked reference lists of retrieve

SUBMITTER: Hendriks J 

PROVIDER: S-EPMC10761394 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature