Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization

Despite the success of automated pattern recognition methods in problems of human brain tumor diagnostic classification, limited attention has been paid to the issue of automated data quality assessment in the field of MRS for neuro‐oncology. Beyond some early attempts to address this issue, the cur...

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Bibliographic Details
Published in:	NMR in biomedicine Vol. 35; no. 4; pp. e4193 - n/a
Main Authors:	Hernández‐Villegas, Yanisleydis, Ortega‐Martorell, Sandra, Arús, Carles, Vellido, Alfredo, Julià‐Sapé, Margarida
Format:	Journal Article
Language:	English
Published:	England Wiley Subscription Services, Inc 01.04.2022
Subjects:	Acquisition Methods Algorithms Artifacts and corrections Automatic control Automation Biological products Brain Neoplasms - pathology Brain tumors Data processing Factorization Feature extraction Humans Methods and Engineering MR Spectrosocpy (MRS) and Spectroscopic Imaging (MRSI) Methods Pattern recognition Pattern Recognition, Automated - methods Post‐acquisition Processing Quality assessment Quality Control Radiology Signal processing Tumors Acquisition Methods MR Spectrosocpy (MRS) and Spectroscopic Imaging (MRSI) Methods Artifacts and corrections Methods and Engineering Post-acquisition Processing
ISSN:	0952-3480, 1099-1492, 1099-1492
Online Access:	Get full text
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