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Authors: Mathieu Bouyrie 1 ; Cristina Manfredotti 2 ; Nadine Peyriéras 3 and Antoine Cornuéjols 2

Affiliations: 1 AgroParisTech and BioEmergences Lab, France ; 2 AgroParisTech, France ; 3 BioEmergences Lab, France

ISBN: 978-989-758-173-1

Keyword(s): 3D Image Denoising, Biomedical Imaging, Mixed Poisson-Gaussian Noise, Isotropic Undecimated Wavelet Transform, Stabilizing Transform, Hypothesis Testing, Optimization Algorithm, Cell Detection.

Related Ontology Subjects/Areas/Topics: Convex Optimization ; Information Retrieval and Learning ; Pattern Recognition ; Sparsity ; Theory and Methods

Abstract: This paper presents a new multiscale method to denoise three-dimensional images of cell nuclei. The specificity of this method is its awareness of the noise distribution and object shapes. It combines a multiscale representation called Isotropic Undecimated Wavelet Transform (IUWT) with a nonlinear transform, a statistical test and a variational method, to retrieve spherical shapes in the image. Beyond extending an existing 2D approach to a 3D problem, our algorithm takes the sampling grid dimensions into account. We compare our method to the two algorithms from which it is derived on a representative image analysis task, and show that it is superior to both of them. It brings a slight improvement in the signal-to-noise ratio and a significant improvement in cell detection.

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Paper citation in several formats:
Bouyrie M., Manfredotti C., Peyriéras N. and Cornuéjols A. (2016). Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 291-298. DOI: 10.5220/0005706002910298

@conference{icpram16,
author={Mathieu Bouyrie and Cristina Manfredotti and Nadine Peyriéras and Antoine Cornuéjols},
title={Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={291-298},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005706002910298},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Denoising 3D Microscopy Images of Cell Nuclei using Shape Priors on an Anisotropic Grid
SN - 978-989-758-173-1
AU - Bouyrie M.
AU - Manfredotti C.
AU - Peyriéras N.
AU - Cornuéjols A.
PY - 2016
SP - 291
EP - 298
DO - 10.5220/0005706002910298

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