Multiparametric Classification of Skin from Osteogenesis Imperfecta Patients and Controls by Quantitative Magnetic Resonance Microimaging.

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Bibliographic Details
Title:	Multiparametric Classification of Skin from Osteogenesis Imperfecta Patients and Controls by Quantitative Magnetic Resonance Microimaging.
Authors:	Ashinsky BG; Laboratory of Clinical Investigation, Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America., Fishbein KW; Laboratory of Clinical Investigation, Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America., Carter EM; Kathryn O. and Alan C. Greenberg Center for Skeletal Dysplasias, Hospital for Special Surgery, New York, New York, United States of America., Lin PC; Core Imaging Facility for Small Animals, GRU Cancer Center, Augusta University Augusta, Georiga, United States of America., Pleshko N; Department of Bioengineering, College of Engineering, Temple University, Philadelphia, United States of America., Raggio CL; Kathryn O. and Alan C. Greenberg Center for Skeletal Dysplasias, Hospital for Special Surgery, New York, New York, United States of America.; Department of Orthopaedics, Hospital for Special Surgery, New York, New York, United States of America., Spencer RG; Laboratory of Clinical Investigation, Magnetic Resonance Imaging and Spectroscopy Section, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
Source:	PloS one [PLoS One] 2016 Jul 14; Vol. 11 (7), pp. e0157891. Date of Electronic Publication: 2016 Jul 14 (Print Publication: 2016).
Publication Type:	Journal Article
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1932-6203
DOI:	10.1371/journal.pone.0157891