Oct Volumetric Data Restoration via Primal-Dual Plug-and-Play Method
Shogo Muramatsu, Samuel Chai, Shunsuke Ono, Takeru Ota, Fumiaki Nin, Hiroshi Hibino
Abstract
This work proposes a volumetric data restoration method, especially for data acquired through an optical coherence tomography (OCT) device. OCT is a technique for acquiring a tomographic image of a specimen object in a few μm scale by using a near infrared laser. The authors have been trying dynamic observation of epithelium in cochlear of the inner ear. Currently, there is a problem to remove the influence of the measurement process as well as noise due to image sensor sensitivity. Therefore, in this work, on the assumption that specimen objects follow some sort of signal generation model, an OCT volumetric data restoration method is proposed. The proposed technique adopts the primal-dual plug-and-play (PDPnP) method, where the generation model is represented by a sparsity-aware regularization term explicitly or implicitly. The significance of the proposed method is verified by simulation on artificial data, followed by an experiment with actual observation data.
BibTeX
@inproceedings{icassp2018_octvolumetricdat,
title = {Oct Volumetric Data Restoration via Primal-Dual Plug-and-Play Method},
author = {Shogo Muramatsu and Samuel Chai and Shunsuke Ono and Takeru Ota and Fumiaki Nin and Hiroshi Hibino},
booktitle = {ICASSP 2018},
year = {2018}
}