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Alternating direction method of multipliers applied to 3D light sheet fluorescence microscopy image deblurring using GPU hardware

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4 Author(s)
F. de Vieilleville ; Université de Toulouse, IRIT UMR CNRS 5505, France ; P. Weiss ; V. Lobjois ; D. Kouamé

This paper focuses on the deblurring and denoising of Poisson noise contaminated images acquired with a new imaging technique producing large 3D data sets: Light Sheet Fluorescence Microscopy. This paper details the optimization algorithm used, which is based on the Alternating Direction Method of Multipliers, and its efficient implementation using GPU hardware. In practice, a 3D 100 million voxel image is deconvolved in five minutes, which is at least 25 times faster than a state-of-the-art MATLAB implementation.

Published in:

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 30 2011-Sept. 3 2011