Temporal and Volumetric Denoising via Quantile Sparse Image Prior

The reliable reduction of image noise poses a constantly recurring problem in todays imaging systems. In healthcare, noise may limit the reliability of medical image data for subsequent clinical workflows. For instance, in radiology using computed tomography (CT) or related morphological imaging modalities, noise affects the analysis of anatomical structures and thus impedes diagnostic applications. In optical coherence tomography (OCT) for retinal imaging as another example use case, noise limits the measurement of structural features in the human eye, e.  g.

Source: Medical Image Analysis - June 6, 2018 Category: Radiology Authors: Franziska Schirrmacher, Thomas K öhler, Jürgen Endres, Tobias Lindenberger, Lennart Husvogt, James G. Fujimoto, Joachim Hornegger, Arnd Dörfler, Philip Hoelter, Andreas K. Maier Source Type: research