An open-source tool for longitudinal whole-brain and white matter lesion segmentation
Year: 2023
Type: article
Abstract: In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that can handle multi-contrast data and robustly analyze images with white matter lesions. This method is here extended with subject-specific latent variables that encourage temporal consistency between its segmentation results, enabling it to better track subtle morphological changes in dozens of neuroanatomical structures and white matter lesions. We validate the proposed method on multiple datasets of control subjects and patients suffering from Alzheimer's disease and multiple sclerosis, and compare its results against those obtained with its original cross-sectional formulation and two benchmark longitudinal methods. The results indicate that the method attains a higher test-retest reliability, while being more sensitive to longitudinal disease effect differences between patient groups. An implementation is publicly available as part of the open-source neuroimaging package FreeSurfer.
Source: NeuroImage Clinical
Institutions: Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Amager Hospital, Copenhagen University Hospital, University of Copenhagen, Frederiksberg Hospital, Bispebjerg Hospital, Technical University of Munich, Technical University of Denmark
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,400
Funders: Alzheimer's Disease Neuroimaging Initiative, European Commission, Deutsche Forschungsgemeinschaft, Lundbeckfonden, Technische Universität München, H. Lundbeck A/S, National Institutes of Health, Horizon 2020 Framework Programme, European Research Council, Det Sundhedsvidenskabelige Fakultet, Københavns Universitet, Horizon 2020, National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, H2020 Marie Skłodowska-Curie Actions
Awards: G1815946096, Building a pathology-validated neuroimaging tool for Alzheimer's Disease, G2671819712, Graph learning und pathophysiologische Modelle: Hin zu einer neuen Klassifikation von Läsionen der weißen Substanz in der Multiplen Sklerose, Computational Imaging Biomarkers of Multiple Sclerosis, Translational Brain Imaging Training Network, Segmenting Brain Structures for Neurological Disorders, Translational Brain Imaging Training Network, G4024535192, G434337789, G4619505372, Vitamin B12 status, cognitive decline and incident dementia, G7664518428, Precision Monitoring and Assessment in the Framingham Study: Cognitive, MRI, Genetic and Biomarker Precursors of AD & Dementia, Neuroimaging Training Program, FreeSurfer Development, Maintenance, and Hardening
OpenAlex ID: W4322773877