- -

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

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

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

Show full item record

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. doi:10.1007/s10334-010-0241-8

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

Files in this item

Item Metadata

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:
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
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

This item appears in the following Collection(s)

Show full item record