Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort

被引：0

作者：

Alexandra de Sitter

Tom Verhoeven

Jessica Burggraaff

Yaou Liu

Jorge Simoes

Serena Ruggieri

Miklos Palotai

Iman Brouwer

Adriaan Versteeg

Viktor Wottschel

Stefan Ropele

Mara A. Rocca

Claudio Gasperini

Antonio Gallo

Marios C. Yiannakas

Alex Rovira

Christian Enzinger

Massimo Filippi

Nicola De Stefano

Ludwig Kappos

Jette L. Frederiksen

Bernard M. J. Uitdehaag

Frederik Barkhof

Charles R. G. Guttmann

Hugo Vrenken

机构：

[1] Amsterdam Neuroscience,Department of Radiology and Nuclear Medicine, MS Center Amsterdam

[2] Amsterdam UMC,Department of Neurology, MS Center Amsterdam

[3] Location VUmc,Department of Human Neurosciences

[4] Amsterdam Neuroscience,Department of Neurosciences

[5] Amsterdam UMC,Center for Neurological Imaging, Department of Radiology, Brigham and Women’s Hospital

[6] Location VUmc,Department of Neurology

[7] “Sapienza” University of Rome,Neuroimaging Research Unit, Division of Neuroscience

[8] San Camillo Forlanini Hospital,Neurology Unit

[9] Harvard Medical School,Division of Neurology and MRI Research Center, Department of Medical, Surgical, Neurologic, Metabolic and Aging Sciences

[10] Medical University of Graz,Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology

[11] Institute of Experimental Neurology,Unitat de Ressonància Magnètica (Servei de Radiologia), Hospital Universitari Vall D’Hebron

[12] IRCCS San Raffaele Scientific Institute,Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology Medical

[13] University of Campania “Luigi Vanvitelli”,Neurophysiology Unit

[14] University College London,Department of Neurological and Behavioural Sciences

[15] Autonomous University of Barcelona,Department of Neurology

[16] University of Graz,Department of Neurology

[17] IRCCS San Raffaele Scientific Institute,Institutes of Neurology and Healthcare Engineering

[18] Vita-Salute San Raffaele University,undefined

[19] University of Siena,undefined

[20] University Hospital,undefined

[21] Kantonsspital,undefined

[22] Glostrup University Hospital Copenhagen,undefined

[23] UCL London,undefined

来源：

Journal of Neurology | 2020年 / 267卷

关键词：

Multiple sclerosis; Deep grey matter; Atrophy; Automated segmentation methods;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：3541 / 3554

页数：13

共 4 条

[1] Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
de Sitter, Alexandra
Verhoeven, Tom
Burggraaff, Jessica
Liu, Yaou
Simoes, Jorge
Ruggieri, Serena
Palotai, Miklos
Brouwer, Iman
Versteeg, Adriaan
Wottschel, Viktor
Ropele, Stefan
Rocca, Mara A.
Gasperini, Claudio
Gallo, Antonio
Yiannakas, Marios C.
Rovira, Alex
Enzinger, Christian
Filippi, Massimo
De Stefano, Nicola
Kappos, Ludwig
Frederiksen, Jette L.
Uitdehaag, Bernard M. J.
Barkhof, Frederik
Guttmann, Charles R. G.
Vrenken, Hugo
JOURNAL OF NEUROLOGY, 2020, 267 (12) : 3541 - 3554
[2] Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated references
de Sitter, Alexandra
Burggraaff, Jessica
Bartel, Fabian
Palotai, Miklos
Liu, Yaou
Simoes, Jorge
Ruggieri, Serena
Schregel, Katharina
Ropele, Stefan
Rocca, Maria A.
Gasperini, Claudio
Gallo, Antonio
Schoonheim, Menno M.
Amann, Michael
Yiannakas, Marios
Pareto, Deborah
Wattjes, Mike P.
Sastre-Garriga, Jaume
Kappos, Ludwig
Filippi, Massimo
Enzinger, Christian
Frederiksen, Jette
Uitdehaag, Bernard
Guttmann, Charles R. G.
Barkhof, Frederik
Vrenken, Hugo
NEUROIMAGE-CLINICAL, 2021, 30
[3] Editorial for "A Multi-Center Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients"
Wu, Shuohua
Shi, Dafa
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 58 (03) : 877 - 878
[4] Multimodal MRI Segmentation of Brain Tissue and T2-Hyperintense White Matter Lesions in Multiple Sclerosis using Deep Convolutional Neural Networks and a Large Multi-center Image Database
Narayana, Ponnada A.
Coronado, Ivan
Robinson, Melvin
Sujit, Sheeba J.
Datta, Sushmita
Sun, Xiaojun
Lublin, Fred D.
Wolinsky, Jerry S.
Gabr, Refaat E.
2018 9TH CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2018, : 13 - 16

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