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Título:
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A R-Script for Generating Multiple Sclerosis Lesion Pattern Discrimination Plots
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Autor/a:
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Marschallinger, Robert; Tur Gomez, Carmen; Marschallinger, Hannes; Sellner, Johann
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Otros autores:
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Institut Català de la Salut; [Marschallinger R] Department of Geoinformatics, University of Salzburg, Salzburg, Austria. Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria. [Tur C] Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, University College London, London, UK. Servei de Neurologia/Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (CEMCAT), Barcelona, Spain. [Marschallinger H] Marschallinger GeoInformatik, Seekirchen, Austria. [Sellner J] Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria. Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Liechtensteinstr, Mistelbach, Austria. Department of Neurology, Klinikum Rechts der Isar, Technische Universität München, München, Germany; Hospital Universitari Vall d'Hebron |
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Abstract:
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Càlcul estadístic R; Geoestadística; Esclerosi múltiple |
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Abstract:
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Cálculo estadístico R; Geoestadística; Esclerosis múltiple |
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Abstract:
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R statistical computing; Geostatistics; Multiple sclerosis |
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Abstract:
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One significant characteristic of Multiple Sclerosis (MS), a chronic inflammatory demyelinating disease of the central nervous system, is the evolution of highly variable patterns of white matter lesions. Based on geostatistical metrics, the MS-Lesion Pattern Discrimination Plot reduces complex three- and four-dimensional configurations of MS-White Matter Lesions to a well-arranged and standardized two-dimensional plot that facilitates follow-up, cross-sectional and medication impact analysis. Here, we present a script that generates the MS-Lesion Pattern Discrimination Plot, using the widespread statistical computing environment R. Input data to the script are Nifti-1 or Analyze-7.5 files with individual MS-White Matter Lesion masks in Montreal Normal Brain geometry. The MS-Lesion Pattern Discrimination Plot, variogram plots and associated fitting statistics are output to the R console and exported to standard graphics and text files. Besides reviewing relevant geostatistical basics and commenting on implementation details for smooth customization and extension, the paper guides through generating MS-Lesion Pattern Discrimination Plots using publicly available synthetic MS-Lesion patterns. The paper is accompanied by the R script LDPgenerator.r, a small sample data set and associated graphics for comparison. |
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Materia(s):
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-Esclerosi múltiple
-Imatgeria per ressonància magnètica
-Patrons de programari
-DISEASES::Nervous System Diseases::Nervous System Diseases::Demyelinating Diseases::Demyelinating Autoimmune Diseases, CNS::Multiple Sclerosis
-INFORMATION SCIENCE::Information Science::Information Management::Pattern Recognition, Automated
-ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging
-ENFERMEDADES::enfermedades del sistema nervioso::enfermedades del sistema nervioso::enfermedades desmielinizantes::enfermedades autoinmunes desmielinizantes del SNC::esclerosis múltiple
-CIENCIA DE LA INFORMACIÓN::Ciencias de la información::gestión de la información::reconocimiento automatizado de patrones
-TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética |
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Derechos:
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Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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Tipo de documento:
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Artículo
Artículo - Versión publicada |
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Editor:
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MDPI
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Compartir:
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