The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/8ce1a22f-16a4-450e-b24a-775278cad7a1

Leibold, David; van der Sar, Stefan J. ; Goorden, Marlies C.; Schaart, Dennis R. (2024): Data and code underlying the publication: "Framework for evaluating photon-counting detectors under pile-up conditions". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8ce1a22f-16a4-450e-b24a-775278cad7a1.v1

Dataset

• Other Medical and Health Sciences
• Other Physical Sciences
• Physical Sciences
• Medical and Health Sciences

medical imaging, non-linear systems, photon-counting X-ray detectors, pile-up, point spread function, small-signal analysis

GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by David Leibold , Stefan J. van der Sar , Marlies C. Goorden , Dennis R. Schaart

This repository contains the data and code for our paper

David Leibold, Stefan J. van der Sar, Marlies C. Goorden, Dennis R. Schaart, Framework for evaluating photon-counting detectors under pile-up conditions, J. Med. Imag. 11(S1), S12802 (2024), doi: 10.1117/1.JMI.11.S1.S12802. 

The objective of the publication is a framework that aims to evaluate PCDs under pile-up conditions by employing a small-signal analysis. In this repository you will find the raw data of energy depositions in a pixel array obtained via Monte-Carlo simulations (stored as .root files), the Python scripts for performing the pulse train analysis and the calculation of the perturbation point spread function, as well as the Python scripts for creating the plots shown in the abovementioned publication, along with the actual plots (.png, .pdf) and the plotted data (.npy files). For an in-depth description of this repository we refer to the REAMDE.md file, which can be opened with any text editor. It also contains instructions for setting up a Python environment with all required dependencies, and instructions for using the scripts performing the pulse train analysis.

• 2024-05-27 first online, published, posted

4TU.ResearchData

zipped file of: Raw data/root; Processing/Python; Processing results/Numpy; Plotting/Python; Plots/pdf,png; Plotted data/Numpy.

Framework for evaluating photon-counting detectors under pile-up conditions

• This research was partially funded by Varian, a Siemens Healthineers company, grant number 2018016.

TU Delft, Faculty of Applied Sciences, Department of Radiation Science & Technology