A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

• Published in: NeuroImage (Orlando, Fla.) Vol. 225; p. 117471
• Main Authors: Cerri, Stefano, Puonti, Oula, Meier, Dominik S., Wuerfel, Jens, Mühlau, Mark, Siebner, Hartwig R., Van Leemput, Koen
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.01.2021; Elsevier Limited; Elsevier
• Subjects: Algorithms; Anatomy; Atrophy; Atrophy - pathology; Automation; Brain - diagnostic imaging; Brain - pathology; Brain architecture; Generative model; Gray Matter - pathology; Human performance; Humans; Image Interpretation, Computer-Assisted - methods; Image Processing, Computer-Assisted - methods; Lesion segmentation; Lesions; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Methods; Multiple sclerosis; Multiple Sclerosis - diagnostic imaging; Multiple Sclerosis - pathology; Neural networks; Neuroimaging; Open source software; Segmentation; Substantia alba; Substantia grisea; White Matter - pathology; Whole-brain segmentation; Multiple sclerosis; Lesion segmentation; Whole-brain segmentation; Generative model

•A method for segmenting white matter lesions and dozens of brain structures in MS.•The method is adaptive to different scanners and MRI sequences.•It can be used to quantify brain volumes without resorting to lesion-filling.•The method is publicly available as part of FreeSurfer. Here we present a...