Analysis of sub-anatomic diffusion tensor imaging indices in white matter regions of Alzheimer with MMSE score
- Auteur
- PATIL, Ravindra B1 ; RAMAKRISHNAN, S1
[1] Non Invasive Imaging and Diagnostics Laboratory, Biomedical Engineering Group, Department of Applied Mechanics, Indian Institute of Technology Madras, Chennai 600036, India - Titre de la publication
- ACBIT 2013
- Auteur (monographie)
- PHAM, Tuan D (Editor)1 ; JIANG, Xiaoyi (Editor)2
[1] Aizu Researh Cluster for Medical Engineering and Informatics, Center for Advanced Information Science and Technology, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan
[2] Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149 Münster, Germany - Source
Computer methods and programs in biomedicine (Print). 2014, Vol 117, Num 1, pp 13-19, 7 p ; ref : 24 ref
- ISSN
- 0169-2607
- Domaine scientifique
- Biomedical engineering; Computer science
- Editeur
- Elsevier, Kidlington
- Pays de publication
- United Kingdom
- Type de document
- Article
- Langue
- English
- Mot clé auteur
- Alzheimer Diffusion tensor imaging (DTI) MMSE
- Mot clé (fr)
- Analyse image Anisotropie Bilatéral Cerveau Classification à vaste marge Corrélation Courant Foucault Diagnostic Diffusion(transport) Démence d'Alzheimer Imagerie RMN Imagerie du tenseur de diffusion Imagerie médicale Neurophysiologie Psychométrie Substance blanche Système nerveux central Tissu Trouble cognitif Vision ordinateur Classification binaire Valeurs distinctes
- Mot clé (en)
- Image analysis Anisotropy Bilateral Brain Vector support machine Correlation Eddy current Diagnosis Diffusion Alzheimer disease Nuclear magnetic resonance imaging Diffusion tensor imaging Medical imagery Neurophysiology Psychometrics White matter Central nervous system Tissue Cognitive disorder Computer vision Binary classification Distinct values
- Mot clé (es)
- Análisis imagen Anisotropía Bilateral Cerebro Máquina ejemplo soporte Correlación Corriente Foucault Diagnóstico Demencia Alzheimer Imaginería RMN Imágen de tensor de difusión Imaginería médica Neurofisiología Psicometría Substancia blanca Sistema nervioso central Tejido Trastorno cognitivo Visión ordenador Clasificación binaria Valores distinctas
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001D Sciences appliquees / 001D02 Informatique; automatique theorique; systemes / 001D02C Intelligence artificielle / 001D02C03 Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique
- Pascal
- 002 Sciences biologiques et medicales / 002B Sciences medicales / 002B18 Psychopathologie. Psychiatrie / 002B18B Techniques et méthodes / 002B18B01 Psychométrie. Systèmes d'aide au diagnostic
- Pascal
- 002 Sciences biologiques et medicales / 002B Sciences medicales / 002B18 Psychopathologie. Psychiatrie / 002B18E Gériatrie
- Pascal
- 002 Sciences biologiques et medicales / 002B Sciences medicales / 002B24 Techniques d'exploration et de diagnostic (generalites) / 002B24A Radiodiagnostic. Imagerie rmn. Spectrométrie rmn / 002B24A06 Système nerveux
- Francis
- 770 Psychologie. Psychanalyse. Psychiatrie / 770-D PSYCHOPATHOLOGIE. PSYCHIATRIE / 770-D02 Techniques et méthodes / 770-D02A Psychométrie. Systèmes d'aide au diagnostic
- Francis
- 770 Psychologie. Psychanalyse. Psychiatrie / 770-D PSYCHOPATHOLOGIE. PSYCHIATRIE / 770-D05 Gériatrie
- Discipline
- Computer science : theoretical automation and systems Psychopathology. Psychiatry. Clinical psychology Scanning and diagnostic techniques
- Provenance
- Inist-CNRS
- Base de données
- FRANCIS ; PASCAL
- Identifiant INIST
- 28811357
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.cmpb.2014.06.004 
https://dx.doi.org/10.1016/j.cmpb.2014.06.004
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