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 $\mu$m 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.