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Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

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Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

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Fuster García, E.; Navarro., C.; Vicente Robledo, J.; Tortajada Velert, S.; García Gómez, JM.; Sáez Silvestre, C.; Calvar ., J.... (2011). Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra. Magnetic Resonance Materials in Physics, Biology and Medicine. 24(1):35-42. https://doi.org/10.1007/s10334-010-0241-8

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/39576

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Title: Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra
Author: Fuster García, Elíes Navarro., Clara Vicente Robledo, Javier Tortajada Velert, Salvador García Gómez, Juan Miguel Sáez Silvestre, Carlos Calvar ., Jorge Griffiths ., John Julia Sape, Margarita Howe ., Franklyn A Pujol ., Jesús Peet ., Andrew C Heerschap ., Arend Moreno Torres, Àngel Martínez-Bisbal, M.Carmen Martinez Granados, Beatriz Wesseling ., Pieter Semmler ., Wolfhard Capellades ., Jaume Majós ., Carles Alberich Bayarri, Ángel Capdevila ., Antoni Monleón ., Daniel Marti Bonmati, Luis Arús ., Carles Celda ., Bernardo Robles Viejo, Montserrat
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...[+]
Subjects: Brain tumours , Clinical decision support systems , Magnetic resonance spectroscopy
Copyrigths: Reserva de todos los derechos
Source:
Magnetic Resonance Materials in Physics, Biology and Medicine. (issn: 0968-5243 )
DOI: 10.1007/s10334-010-0241-8
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/article/10.1007/s10334-010-0241-8
Project ID:
info:eu-repo/grantAgreement/EC/FP6/503094/EU/WEB ACCESSIBLE MR DECISION SUPPORT SYSTEM FOR BRAIN TUMOUR DIAGNOSIS AND PROGNOSIS, INCORPORATING IN VIVO AND EX VIVO GENOMIC AND METABOLIMIC DATA/ETUMOUR/
info:eu-repo/grantAgreement/MICINN//RD07%2F0067%2F2001/ES/RED TEMÁTICA DE INVESTIGACIÓN COOPERATIVA EN BIOMEDICINA COMPUTACIONAL/
info:eu-repo/grantAgreement/MEC//PTQ05-02-03386/ES/PTQ05-02-03386/ /
info:eu-repo/grantAgreement/MICINN//PTQ-08-01-06802/ES/PTQ-08-01-06802/
info:eu-repo/grantAgreement/MICINN//PTQ-08-01-06817/ES/PTQ-08-01-06817/
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/s10334-010-0241-8
Thanks:
We would like to thank Miriam Camison-Sanchez for help in the quality control of the MRS data and diagnosis validation. This work was partially funded by the European Commission (FP6-2002-LIFESCIHEALTH 503094) and ...[+]
Type: Artículo

References

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