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2011 IEEE Workshop on Statistical Signal Processing (SSP2011), Nice : France (2011)

Regularized non negative matrix factorization for autofluorescence removal in fluorescence optical imaging

Anne-Sophie Montcuquet 1, 2, Lionel Herve 2, Fabrice Navarro 2, Jean-Marc Dinten 2, Jerome I. Mars 1

For the CEA LETI collaboration(s)

(2011-06-28)

Fluorescence imaging in diffusive media locates cancers thanks to injected fluorescent markers specific to the tumors. The region of interest is illuminated with red light and the emitted back fluorescence is analyzed to locate the fluorescence sources. To detect accurately the markers signal and be able to explore thick media (breast, prostate), autofluorescence emitted by biological tissues has to be removed. We propose a spectroscopic approach, based on Non-negative Matrix Factorization (NMF) method, and present interest of regularized NMF algorithms on unmixing results. In vivo autofluorescence removal and tumor detection enhancement results on mice will be presented.

1:	Grenoble Images Parole Signal Automatique (GIPSA-lab)
	CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
2:	Laboratoire d'Electronique et des Technologies de l'Information (LETI)
	CEA : DRT/LETI

Research team: SIGMAPHY

Subject

:

Engineering Sciences/Signal and Image processing Computer Science/Signal and Image Processing

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From: Jerome Mars <>

Submitted on: Thursday, 21 July 2011 00:35:42

Updated on: Tuesday, 4 December 2012 14:27:42