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dc.contributor.author | Prats-Montalbán, José Manuel | es_ES |
dc.contributor.author | Sanz Requena, Roberto | es_ES |
dc.contributor.author | Marti Bonmati, Luis | es_ES |
dc.contributor.author | Ferrer, Alberto | es_ES |
dc.date.accessioned | 2016-02-11T13:55:34Z | |
dc.date.available | 2016-02-11T13:55:34Z | |
dc.date.issued | 2014-08 | |
dc.identifier.issn | 0886-9383 | |
dc.identifier.uri | http://hdl.handle.net/10251/60812 | |
dc.description.abstract | This paper discusses the potential of Multivariate Curve Resolution (MCR) models to extract physiological dynamics behaviors from Dynamic Contrast Enhanced Magnetic Resonance (DCE-MR) Imaging prostate perfusion studies for cancer diagnosis. A relationship with biomarkers ( hidden parameters for assessing the possible existence of a tumor) from pharmacokinetic models is also studied. | es_ES |
dc.description.sponsorship | This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C04-02. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Wiley | es_ES |
dc.relation.ispartof | Journal of Chemometrics | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Multivariate image analysis | es_ES |
dc.subject | MCR | es_ES |
dc.subject | SIMPLISMA | es_ES |
dc.subject | EFA | es_ES |
dc.subject | DCE-MR | es_ES |
dc.subject | pharmacokinetics | es_ES |
dc.subject | perfusion | es_ES |
dc.subject | prostate | es_ES |
dc.subject | tumor | es_ES |
dc.subject | biomarker | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Prostate functional magnetic resonance image analysis using multivariate curve resolution methods | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1002/cem.2585 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2011-28112-C04-02/ES/MONITORIZACION, INFERENCIA, OPTIMIZACION Y CONTROL MULTI-ESCALA: DE CELULAS A BIORREACTORES. (MULTISCALES)/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.description.bibliographicCitation | Prats-Montalbán, JM.; Sanz Requena, R.; Marti Bonmati, L.; Ferrer, A. (2014). Prostate functional magnetic resonance image analysis using multivariate curve resolution methods. Journal of Chemometrics. 28(8):672-680. https://doi.org/10.1002/cem.2585 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1002/cem.2585 | es_ES |
dc.description.upvformatpinicio | 672 | es_ES |
dc.description.upvformatpfin | 680 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 28 | es_ES |
dc.description.issue | 8 | es_ES |
dc.relation.senia | 258623 | es_ES |
dc.identifier.eissn | 1099-128X | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
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