Exploració per tema "Magnetic resonance spectroscopy"
Ara es mostren els items 1-8 de 8
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A comparison of non-negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors
(John Wiley & sons, 2023-12)
Article
Accés obertMagnetic resonance spectroscopy (MRS) is an MR technique that provides informa-tion about the biochemistry of tissues in a noninvasive way. MRS has been widelyused for the study of brain tumors, both preoperatively and ... -
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors
(2014)
Text en actes de congrés
Accés restringit per política de l'editorialConvex non-negative matrix factorization is a blind signal separation technique that has previously demonstrated to be well-suited for the task of human brain tumor diagnosis from magnetic resonance spectroscopy data. This ... -
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian decomposition and Bayesian neural networks
(2014-09)
Article
Accés restringit per política de l'editorialNeuro-oncologists must ultimately rely on their acquired knowledge and accumulated experience to undertake the sensitive task of brain tumour diagnosis. This task strongly depends on indirect, non-invasive measurements, ... -
Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization
(Springer, 2016)
Text en actes de congrés
Accés obertProton Magnetic Resonance Spectroscopy (1H MRS) has proven its diagnostic potential in a variety of conditions. However, MRS is not yet widely used in clinical routine because of the lack of experts on its diagnostic ... -
Classification, dimensionality reduction, and maximally discriminatory visualization of a multicentre 1H-MRS database of brain tumors
(IEEE, 2008)
Text en actes de congrés
Accés obertThe combination of an Artificial Neural Network classifier, a feature selection process, and a novel linear dimensionality reduction technique that provides a data projection for visualization and which preserves completely ... -
Discriminant convex non-negative matrix factorization for the classification of human brain tumours
(2013-10-15)
Article
Accés restringit per política de l'editorialThe medical analysis of human brain tumours commonly relies on indirect measurements. Among these, magnetic resonance imaging (MRI) and spectroscopy (MRS) predominate in clinical settings as tools for diagnostic assistance. ... -
Rule-based assistance to brain tumour diagnosis using LR-FIR
(2008-09)
Article
Accés restringit per política de l'editorialThis paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from ... -
Using single-voxel magnetic resonance spectroscopy data acquired at 1.5T to classify multivoxel data at 3T: a proof-of-concept study
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-07-01)
Article
Accés obertIn vivo magnetic resonance spectroscopy (MRS) has two modalities, single-voxel (SV) and multivoxel (MV), in which one or more contiguous grids of SVs are acquired. Purpose: To test whether MV grids can be classified with ...