Unmixing functional magnetic resonance imaging data using matrix factorization

Functional magnetic resonance imaging (fMRI) data is processed by different techniques for detection of activated voxels including principal component analysis (PCA), independent component analysis (ICA), non‐negative matrix factorization (NMF), and so on. In this work, a modified version of NMF met...

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Veröffentlicht in:	International journal of imaging systems and technology 2012-12, Vol.22 (4), p.195-199
Hauptverfasser:	Khaliq, Amir A., Qureshi, Ijaz M., Shah, Jawad A.
Format:	Artikel
Sprache:	eng
Schlagworte:	fMRI data analysis fMRI source separation matrix factorization
Online-Zugang:	Volltext
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