A Study of Long-Term fMRI Reproducibility Using Data-Driven Analysis Methods
- Author
- XIAOMU SONG1 ; PANYCH, Lawrence P2 ; CHOU, Ying-Hui3 ; CHEN, Nan-Kuei3
[1] Department of Electrical Engineering, School of Engineering, Widener University, Chester, PA 19013, United States
[2] Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, United States
[3] Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, United States - Source
International journal of imaging systems and technology. 2014, Vol 24, Num 4, pp 339-349, 11 p ; ref : 3/4 p
- ISSN
- 0899-9457
- Scientific domain
- Physics; Telecommunications
- Publisher
- Wiley, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- quantitative fMRI reproducibility support vector machine wavelet
- Keyword (fr)
- Analyse donnée Analyse multicritère Analyse temporelle Application médicale Classification à vaste marge Durée Estimation Bayes Formation image Image tridimensionnelle Imagerie RMN Imagerie fonctionnelle Imagerie médicale Lissage Long terme Modèle dirigé par les données Modèle linéaire Méthode lissage Optimisation Processus Gauss Présentation information Reproductibilité Région intérêt Résultat expérimental Transformation ondelette Variation spatiale Voxel
- Keyword (en)
- Data analysis Multicriteria analysis Time analysis Medical application Vector support machine Duration Bayes estimation Imaging Tridimensional image Nuclear magnetic resonance imaging Functional imaging Medical imagery Smoothing Long term Data driven modelling Linear model Smoothing methods Optimization Gaussian process Information layout Reproducibility Interest region Experimental result Wavelet transformation Spatial variation Voxel
- Keyword (es)
- Análisis datos Análisis multicriterio Análisis temporal Aplicación medical Máquina ejemplo soporte Duración Estimación Bayes Formación imagen Imagen tridimensional Imaginería RMN Imaginería funcional Imaginería médica Alisamiento Largo plazo Modelo basado en datos Modelo lineal Optimización Proceso Gauss Presentación información Reproductividad Región interès Resultado experimental Transformación ondita Variación espacial Voxel
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B24 Investigative techniques, diagnostic techniques (general aspects) / 002B24A Radiodiagnosis. Nmr imagery. Nmr spectrometry / 002B24A06 Nervous system
- Discipline
- Computer science : theoretical automation and systems Scanning and diagnostic techniques
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28961769
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
10.1002/ima.22111 
https://dx.doi.org/10.1002/ima.22111
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