Deep learning pipeline for quality filtering of MRSI spectra

With the rise of novel 3D magnetic resonance spectroscopy imaging (MRSI) acquisition protocols in clinical practice, which are capable of capturing a large number of spectra from a subject's brain, there is a need for an automated preprocessing pipeline that filters out bad‐quality spectra and...

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Veröffentlicht in:	NMR in biomedicine 2024-07, Vol.37 (7), p.e5012-n/a
Hauptverfasser:	Rakić, Mladen, Turco, Federico, Weng, Guodong, Maes, Frederik, Sima, Diana M., Slotboom, Johannes
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Brain - diagnostic imaging Brain - metabolism Brain Neoplasms - diagnostic imaging Brain tumors convolutional autoencoders Datasets Decision making Deep Learning Editing Humans Lipids Machine learning Magnetic Resonance Imaging Magnetic resonance spectroscopy Magnetic Resonance Spectroscopy - methods Metabolites MRSI Multilayer perceptrons Neuroimaging quality filtering Signal quality Spectra spectral quality Spectrum analysis
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