FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Details
Serval ID
serval:BIB_6790355DA8EB
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
FetMRQC: A robust quality control system for multi-centric fetal brain MRI.
Journal
Medical image analysis
ISSN
1361-8423 (Electronic)
ISSN-L
1361-8415
Publication state
Published
Issued date
10/2024
Peer-reviewed
Oui
Volume
97
Pages
103282
Language
english
Notes
Publication types: Journal Article ; Multicenter Study
Publication Status: ppublish
Publication Status: ppublish
Abstract
Fetal brain MRI is becoming an increasingly relevant complement to neurosonography for perinatal diagnosis, allowing fundamental insights into fetal brain development throughout gestation. However, uncontrolled fetal motion and heterogeneity in acquisition protocols lead to data of variable quality, potentially biasing the outcome of subsequent studies. We present FetMRQC, an open-source machine-learning framework for automated image quality assessment and quality control that is robust to domain shifts induced by the heterogeneity of clinical data. FetMRQC extracts an ensemble of quality metrics from unprocessed anatomical MRI and combines them to predict experts' ratings using random forests. We validate our framework on a pioneeringly large and diverse dataset of more than 1600 manually rated fetal brain T2-weighted images from four clinical centers and 13 different scanners. Our study shows that FetMRQC's predictions generalize well to unseen data while being interpretable. FetMRQC is a step towards more robust fetal brain neuroimaging, which has the potential to shed new insights on the developing human brain.
Keywords
Humans, Magnetic Resonance Imaging/methods, Brain/diagnostic imaging, Brain/embryology, Quality Control, Prenatal Diagnosis/methods, Female, Pregnancy, Machine Learning, Domain shifts, Fetal brain MRI, Image quality assessment
Pubmed
Web of science
Open Access
Yes
Create date
29/07/2024 13:06
Last modification date
10/09/2024 7:24