Automatic multispectral MRI segmentation of human hippocampal subfields: an evaluation of multicentric test–retest reproducibility

Accurate and reproducible automated segmentation of human hippocampal subfields is of interest to study their roles in cognitive functions and disease processes. Multispectral structural MRI methods have been proposed to improve automated hippocampal subfield segmentation accuracy, but the reproduci...

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Bibliographic Details
Published in:	Brain Structure and Function Vol. 226; no. 1; pp. 137 - 150
Main Authors:	Chiappiniello, Andrea, Tarducci, Roberto, Muscio, Cristina, Bruzzone, Maria Grazia, Bozzali, Marco, Tiraboschi, Pietro, Nigri, Anna, Ambrosi, Claudia, Chipi, Elena, Ferraro, Stefania, Festari, Cristina, Gasparotti, Roberto, Gianeri, Ruben, Giulietti, Giovanni, Mascaro, Lorella, Montanucci, Chiara, Nicolosi, Valentina, Rosazza, Cristina, Serra, Laura, Frisoni, Giovanni B., Perani, Daniela, Tagliavini, Fabrizio, Jovicich, Jorge
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2021 Springer Nature B.V
Subjects:	Adult Aged Aging Automation Biomedical and Life Sciences Biomedicine Cell Biology Cognitive ability Female Hippocampus Hippocampus - diagnostic imaging Humans Image processing Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Middle Aged Neurology Neurosciences Original Original Article Pipelines Reproducibility Reproducibility of Results Segmentation Hippocampal subfields Test–retest reproducibility Human brain morphometry Multispectral MRI FreeSurfer Automated segmentation
ISSN:	1863-2653, 1863-2661, 1863-2661, 0340-2061
Online Access:	Get full text
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