See you in two years!
11-16 April 2026
Conference 13006 > Paper 13006-83
Paper 13006-83

Deconvolution-based image enhancement for optical coherence tomography

On demand | Presented live 9 April 2024

Abstract

This work focuses on enhancing the quality of A- and B-scans of a novel linear optical coherence tomography system (LOCT), addressing the image degradation caused by noise and the blurring characteristics of the system’s three-dimensional point spread function. The enhancement procedure includes an initial spatial and frequencybased pre-filtering that is applied to the measured interference pattern. Subsequently, a more robust envelope detection technique based on the Hilbert transform is employed. Lastly, image structures are reconstructed using a deconvolution algorithm based on maximum likelihood estimation, tailored to meet our unique requirements by adapting it to Rician distributed intensity values and employing a sparseness regularization term. For the deconvolution, both the lateral and axial blur of the system are considered. Emphasis is placed on the optimization of signal detection in high-noise regions, while simultaneously preventing image boundary artifacts. The efficacy of this approach is demonstrated across multiple types of measurement objects, including both artificial and biological samples. All results show a significant reduction in noise as well as enhanced resolution. Structure distinguishability is also increased, which plays a crucial role in tomography applications. In summary, the proposed enhancement method substantially improves image quality. This is achieved by still using the same initial measurement data, but incorporating prior knowledge and maximizing the amount of extracted information. Although initially designed for LOCT systems, the processing steps have potential for broader application in other types of optical coherence tomography and imaging systems.

Presenter

Technische Hochschule Köln (Germany)
Damian Mendroch pursued an education in Electrical Engineering, specializing in optical technologies throughout both his Bachelor's and Master's Degree. Presently, he is a doctoral student at the Institute of Quantum Optics at the Leibniz University Hannover. Currently working at the Institute of Applied Optics and Electronics at the Cologne University of Applied Sciences, his research within the FALCO project (Fourier Algorithm Based Low-Cost OCT) concentrates on mathematical and algorithmic methods. Additionally, he currently conducts research on innovative intraocular lenses at the institute, exploring both their characteristics and application.
Presenter/Author
Technische Hochschule Köln (Germany)
Author
Technische Hochschule Köln (Germany)
Author
Technische Hochschule Köln (Germany)
Author
Leibniz Univ. Hannover (Germany)