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Pàgina inicial > Articles > Articles publicats > A comparison of non-negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors |
Data: | 2023 |
Resum: | Magnetic resonance spectroscopy (MRS) is an MR technique that provides information about the biochemistry of tissues in a noninvasive way. MRS has been widely used for the study of brain tumors, both preoperatively and during follow-up. In this study, we investigated the performance of a range of variants of unsupervised matrix factorization methods of the non-negative matrix underapproximation (NMU) family, namely, sparse NMU, global NMU, and recursive NMU, and compared them with convex non-negative matrix factorization (C-NMF), which has previously shown a good performance on brain tumor diagnostic support problems using MRS data. The purpose of the investigation was 2-fold: first, to ascertain the differences among the sources extracted by these methods; and second, to compare the influence of each method in the diagnostic accuracy of the classification of brain tumors, using them as feature extractors. We discovered that, first, NMU variants found meaningful sources in terms of biological interpretability, but representing parts of the spectrum, in contrast to C-NMF; and second, that NMU methods achieved better classification accuracy than C-NMF for the classification tasks when one class was not meningioma. |
Ajuts: | European Commission 813120 Instituto de Salud Carlos III PI20/00064 Instituto de Salud Carlos III PI20/00360 Ministerio de Economía y Competitividad SAF2014-52332-R Agencia Estatal de Investigación PID2019-104551RB-I00 Ministerio de Sanidad y Consumo CB06/01/0010 |
Nota: | Altres ajuts: acords transformatius de la UAB |
Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Matèria: | Brain tumor ; Glioblastoma ; Low grade glioma ; Magnetic resonance spectroscopy ; Meningioma ; Metastasis ; Non-negative matrix factorization ; Non-negative matrix underapproximation |
Publicat a: | NMR in Biomedicine, (July 2023) , art. e5020, ISSN 1099-1492 |
18 p, 4.0 MB |