Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening.


Journal

Journal of healthcare engineering
ISSN: 2040-2295
Titre abrégé: J Healthc Eng
Pays: England
ID NLM: 101528166

Informations de publication

Date de publication:
2019
Historique:
received: 08 08 2018
revised: 24 10 2018
accepted: 05 11 2018
entrez: 7 3 2019
pubmed: 7 3 2019
medline: 30 9 2020
Statut: epublish

Résumé

For patients with cognitive disorders and dementia, accurate prognosis of cognitive worsening is critical to their ability to prepare for the future, in collaboration with health-care providers. Despite multiple efforts to apply computational brain magnetic resonance image (MRI) analysis in predicting cognitive worsening, with several successes, brain MRI is not routinely quantified in clinical settings to guide prognosis and clinical decision-making. To encourage the clinical use of a cutting-edge image segmentation method, we developed a prediction model as part of an established web-based cloud platform, MRICloud. The model was built in a

Identifiants

pubmed: 30838124
doi: 10.1155/2019/9507193
pmc: PMC6374863
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

9507193

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066507
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005146
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NINDS NIH HHS
ID : R44 NS078917
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD065955
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015909
Pays : United States

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Auteurs

Ryo Sakamoto (R)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Department of Radiology, Kyoto University School of Medicine, Kyoto, Japan.

Christopher Marano (C)

Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview and Johns Hopkins University, Baltimore, MD, USA.
Division of Geriatric Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.

Michael I Miller (MI)

Center for Imaging Science, School or Engineering, Johns Hopkins University, Baltimore, MD, USA.
AnatomyWorks, LLC, Baltimore, MD, USA.

Constantine G Lyketsos (CG)

Department of Psychiatry and Behavioral Sciences, Johns Hopkins Bayview and Johns Hopkins University, Baltimore, MD, USA.

Yue Li (Y)

AnatomyWorks, LLC, Baltimore, MD, USA.

Susumu Mori (S)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
AnatomyWorks, LLC, Baltimore, MD, USA.
F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.

Kenichi Oishi (K)

Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Alzheimer's Disease Neuroimaging Initiative Adni (ADNI)

Alzheimer's Disease Neuroimaging Initiative Study, USA.

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