FetMRQC: A robust quality control system for multi-centric fetal brain MRI
Year: 2024
Type: article
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.
Source: Medical Image Analysis
Institutions: Centre Hospitalier Universitaire Vaudois, Centre d'Imagerie BioMedicale, University of Lausanne, Hospital Sant Joan de Déu Barcelona, Hôpital Orthopédique de la Suisse Romande, Universitat de Barcelona, Centre National de la Recherche Scientifique, Aix-Marseille Université, Institut de Neurosciences de la Timone, Assistance Publique Hôpitaux de Marseille, Hôpital de la Timone, University of Zurich, University Children's Hospital Zurich, Centre for Biomedical Network Research on Rare Diseases, Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,970
Funders: National Science Foundation, Chan Zuckerberg Initiative, Agence Nationale de la Recherche, École Polytechnique Fédérale de Lausanne, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Université de Genève, Université de Lausanne, Centre d'Imagerie BioMédicale, Centre Hospitalier Universitaire Vaudois, Stiftung Professor Dr. Max Cloëtta, EMDO Stiftung, Vontobel-Stiftung, Instituto de Salud Carlos III, National Institute of Mental Health
Awards: Dynamics of cortical morphology during childhood development, Uncovering the interplay of structure, function, and dynamics of brain connectivity using MRI, G1571347223, G3010527862, G4031521734, Estudio multicéntrico del proceso de desarrollo cortical fetal anormal aplicando métodos estandarizados y protegidos de resonancia magnética fetal, Multi-centric study of Fetal Abnormal Cortical Trajectory with standardised and privacy_x0002_preserving method on fetal MRI, Multicentric study of Fetal Abnormal Cortical Trajectory with standardised and privacy-preserving method on fetal MRI
OpenAlex ID: W4400839968