4 papers
7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease
Anne Louise Kristoffersen, Runa Geirmundsdatter Unsgård, Marc-Antoine Fortin +6
Parkinson's disease (PD) is a highly heterogeneous disease, including which motor symptoms are dominating. Imaging biomarkers that support subtype stratification could also improve…
GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI
Marc-Antoine Fortin, Anne Louise Kristoffersen, Paal Erik Goa
Ultra-High Field MRI (UHF-MRI) is increasingly used in large-scale neuroimaging studies, yet automatic brain segmentation and cortical parcellation remain challenging due to signal…
Mapping fat-water separated R1, R2*, and proton density fat fraction with the multi-echo MP2RAGE sequence
Jorge Campos Pazmiño, Marc-Antoine Fortin, Véronique Fortier +4
Purpose: To develop a technique for joint measurement of fat and water-specific longitudinal relaxation rates (R1f and R1w), effective transverse relaxation rate (R2*), and proton…
GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI
Marc-Antoine Fortin, Anne Louise Kristoffersen, Michael Staff Larsen +3
Recently, Ultra-High Field MRI (UHF-MRI) has become more available and one of the best tools to study the brain. One common step in quantitative neuroimaging is to segment the brai…