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Frequency‐dependent signal and noise in spectroscopic x‐ray imaging

PURPOSE: We present a new framework for theoretical analysis of the noise power spectrum (NPS) of photon‐counting x‐ray detectors, including simple photon‐counting detectors (SPCDs) and spectroscopic x‐ray detectors (SXDs), the latter of which use multiple energy thresholds to discriminate photon en...

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Autores principales: Tanguay, Jesse, Kim, Jinwoo, Kim, Ho Kyung, Iniewski, Kris, Cunningham, Ian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496729/
https://www.ncbi.nlm.nih.gov/pubmed/32239517
http://dx.doi.org/10.1002/mp.14160
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author Tanguay, Jesse
Kim, Jinwoo
Kim, Ho Kyung
Iniewski, Kris
Cunningham, Ian A.
author_facet Tanguay, Jesse
Kim, Jinwoo
Kim, Ho Kyung
Iniewski, Kris
Cunningham, Ian A.
author_sort Tanguay, Jesse
collection PubMed
description PURPOSE: We present a new framework for theoretical analysis of the noise power spectrum (NPS) of photon‐counting x‐ray detectors, including simple photon‐counting detectors (SPCDs) and spectroscopic x‐ray detectors (SXDs), the latter of which use multiple energy thresholds to discriminate photon energies. METHODS: We show that the NPS of SPCDs and SXDs, including spatio‐energetic noise correlations, is determined by the joint probability density function (PDF) of deposited photon energies, which describes the probability of recording two photons of two different energies in two different elements following a single‐photon interaction. We present an analytic expression for this joint PDF and calculate the presampling and digital NPS of CdTe SPCDs and SXDs. We calibrate our charge sharing model using the energy response of a cadmium zinc telluride (CZT) spectroscopic x‐ray detector and compare theoretical results with Monte Carlo simulations. RESULTS: Our analysis shows that charge sharing increases pixel signal‐to‐noise ratio (SNR), but degrades the zero‐frequency signal‐to‐noise performance of SPCDs and SXDs. In all cases considered, this degradation was greater than 10%. Comparing the presampling NPS with the sampled NPS showed that degradation in zero‐frequency performance is due to zero‐frequency noise aliasing induced by charge sharing. CONCLUSIONS: Noise performance, including spatial and energy correlations between elements and energy bins, are described by the joint PDF of deposited energies which provides a method of determining the photon‐counting NPS, including noise‐aliasing effects and spatio‐energetic effects in spectral imaging. Our approach enables separating noise due to x‐ray interactions from that associated with sampling, consistent with cascaded systems analysis of energy‐integrating systems. Our methods can be incorporated into task‐based assessment of image quality for the design and optimization of spectroscopic x‐ray detectors.
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spelling pubmed-74967292020-09-25 Frequency‐dependent signal and noise in spectroscopic x‐ray imaging Tanguay, Jesse Kim, Jinwoo Kim, Ho Kyung Iniewski, Kris Cunningham, Ian A. Med Phys DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING) PURPOSE: We present a new framework for theoretical analysis of the noise power spectrum (NPS) of photon‐counting x‐ray detectors, including simple photon‐counting detectors (SPCDs) and spectroscopic x‐ray detectors (SXDs), the latter of which use multiple energy thresholds to discriminate photon energies. METHODS: We show that the NPS of SPCDs and SXDs, including spatio‐energetic noise correlations, is determined by the joint probability density function (PDF) of deposited photon energies, which describes the probability of recording two photons of two different energies in two different elements following a single‐photon interaction. We present an analytic expression for this joint PDF and calculate the presampling and digital NPS of CdTe SPCDs and SXDs. We calibrate our charge sharing model using the energy response of a cadmium zinc telluride (CZT) spectroscopic x‐ray detector and compare theoretical results with Monte Carlo simulations. RESULTS: Our analysis shows that charge sharing increases pixel signal‐to‐noise ratio (SNR), but degrades the zero‐frequency signal‐to‐noise performance of SPCDs and SXDs. In all cases considered, this degradation was greater than 10%. Comparing the presampling NPS with the sampled NPS showed that degradation in zero‐frequency performance is due to zero‐frequency noise aliasing induced by charge sharing. CONCLUSIONS: Noise performance, including spatial and energy correlations between elements and energy bins, are described by the joint PDF of deposited energies which provides a method of determining the photon‐counting NPS, including noise‐aliasing effects and spatio‐energetic effects in spectral imaging. Our approach enables separating noise due to x‐ray interactions from that associated with sampling, consistent with cascaded systems analysis of energy‐integrating systems. Our methods can be incorporated into task‐based assessment of image quality for the design and optimization of spectroscopic x‐ray detectors. John Wiley and Sons Inc. 2020-04-22 2020-07 /pmc/articles/PMC7496729/ /pubmed/32239517 http://dx.doi.org/10.1002/mp.14160 Text en © 2020 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicineehalf of American Association of Physicists in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
Tanguay, Jesse
Kim, Jinwoo
Kim, Ho Kyung
Iniewski, Kris
Cunningham, Ian A.
Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title_full Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title_fullStr Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title_full_unstemmed Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title_short Frequency‐dependent signal and noise in spectroscopic x‐ray imaging
title_sort frequency‐dependent signal and noise in spectroscopic x‐ray imaging
topic DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496729/
https://www.ncbi.nlm.nih.gov/pubmed/32239517
http://dx.doi.org/10.1002/mp.14160
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