Work

In Vivo Fluorescence Spectra Unmixing and Autofluorescence Removal by Sparse Nonnegative Matrix Factorization

Year: 2011

Type: article

Abstract: Fluorescence imaging locates fluorescent markers that specifically bind to targets; like tumors, markers are injected to a patient, optimally excited with near-infrared light, and located thanks to backward-emitted fluorescence analysis. To investigate thick and diffusive media, as the fluorescence signal decreases exponentially with the light travel distance, the autofluorescence of biological tissues comes to be a limiting factor. To remove autofluorescence and isolate specific fluorescence, a spectroscopic approach, based on nonnegative matrix factorization (NMF), is explored. To improve results on spatially sparse markers detection, we suggest a new constrained NMF algorithm that takes sparsity constraints into account. A comparative study between both algorithms is proposed on simulated and in vivo data.

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2011.2159382

Authors: Anne-Sophie Montcuquet, Lionel Hervé, F. Navarro, Jean-Marc Dinten, J. I. Mars

Institutions: Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Grenoble, GIPSA-Lab, Laboratoire d'Électronique des Technologies de l'Information

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W2160258952

FWCI: 2.329

Cites: 34

Cited by: 26

Related to: 10