Karl Stierstorfer | Searcharxiv

arXiv2024

A Monte Carlo assessment of the spectral performance of four types of photon counting detectors

In previous publications, we have presented an alternative approach to determine essential detector properties like the Modulation Transfer Function (MTF), the Noise Power Spectrum (NPS) and the Detective Quantum Efficiency (DQE) based on a Monte Carlo model of the detection process. If a Monte Carlo model for the detector response to photons impinging at various locations of a pixel is available, the full statistics of the detector can be derived in a straightforward manner. The purpose of this paper is to describe the method in detail and to apply it to four types of realistic detectors: direct converting detectors using CdTe and silicon, a CdTe photon counter with additional coincidence counters and an optical counting system using LaBr3 as scintillator.

physics.med-ph↗

arXiv2019

CT Field of View Extension Using Combined Channels Extension and Deep Learning Methods

This paper proposes a method to extend the field of view of computed tomography images. In a first step, the field of view is increased by extrapolating linearly the outer channels in the sinogram space. The modified sinogram is then used to reconstruct extended field of view (EFoV) images containing artifacts due to the channels extension. In a second step, those artifacts are reduced by a deep learning network in image space. The proposed method has been evaluated on a collection of clinical scans. The resulting volumes have been checked for consistency and plausibility and compared to an existing state of the art EFoV method.

eess.IV↗