Shearlet transform: a good candidate for compressed sensing in optical coherence tomography.
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Date publication
août 2016
Journal
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Auteurs
Membres identifiés du Cancéropôle Est :
Pr ANDREFF Nicolas
Tous les auteurs :
Duflot LA, Krupa A, Tamadazte B, Andreff N
Lien Pubmed
Résumé
This paper deals with the development of a fast and smart acquisition technique of Optical Coherence Tomography (OCT) data that has the capability to reconstruct missing data of OCT image. The main objective is to reduce the acquisition time (i.e., increase the frame rate) of an OCT-scan system by choosing a trajectory that covers entirely the image but that does not take all the measurements. The reconstruction of the missing data is achieved by applying an updated Fast Iterative Soft-Thresholding Algorithm (FISTA) on a sparse representation of the image. Several sparse representations have been tested and the shearlets-based approach seems to outperform the other ones (e.g. wavelets, curvelets and by applying bilinear interpolation). The targeted application is a fast OCT imaging solution allowing an efficient compensation of the artefacts induced by the patient physiological motions for diagnostic purpose through optical biopsies (3D micrometric resolution optical images). The obtained results seem promising in terms of low time processing and improvement of the quality of the reconstructed image compared to the traditional sparse acquisition.
Mots clés
Algorithms, Animals, Artifacts, Biosensing Techniques, Chickens, Epithelium, physiology, Feasibility Studies, Image Processing, Computer-Assisted, methods, Mice, Models, Theoretical, Optics and Photonics, Reproducibility of Results, Tomography, Optical Coherence
Référence
Conf Proc IEEE Eng Med Biol Soc. 2016 08;2016:435-438