347 citations · 1.1k across the 34 of their papers we have counts for
6 papers · 1 filter
Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
Nelas J. Thomsen, Xinyuan Wang, Felix Lucka +1
Diffusion-based image generators are promising priors for ill-posed inverse problems like sparse-view X-ray Computed Tomography (CT). As most studies consider synthetic data, it is…
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain
Bolin Pan, Simon R. Arridge, Felix Lucka +5
Curvelet frame is of special significance for photoacoustic tomography (PAT) due to its sparsifying and microlocalisation properties. We derive a one-to-one map between wavefront d…
A Multi-channel DART Algorithm
Mathé Zeegers, Felix Lucka, Kees Joost Batenburg
Tomography deals with the reconstruction of objects from their projections, acquired along a range of angles. Discrete tomography is concerned with objects that consist of a small…
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction
Andreas Hauptmann, Ben Cox, Felix Lucka +4
We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The appro…
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
Andreas Hauptmann, Simon Arridge, Felix Lucka +2
PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts ca…
Model based learning for accelerated, limited-view 3D photoacoustic tomography
Andreas Hauptmann, Felix Lucka, Marta Betcke +6
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we…