Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors

Energy-resolving photon-counting detectors (PCDs) separate photons from a polychromatic X-ray source into a number of separate energy bins. This spectral information from PCDs would allow advancements in X-ray imaging, such as improving image contrast, quantitative imaging, and material identificati...

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Main Authors: Cale E. Lewis, Mini Das
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/22/5022
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spelling doaj-25c850e68a674c3284ac18f28e54cca42020-11-25T02:12:18ZengMDPI AGSensors1424-82202019-11-011922502210.3390/s19225022s19225022Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting DetectorsCale E. Lewis0Mini Das1Department of Physics, University of Houston, Houston, TX 77204, USADepartment of Physics, University of Houston, Houston, TX 77204, USAEnergy-resolving photon-counting detectors (PCDs) separate photons from a polychromatic X-ray source into a number of separate energy bins. This spectral information from PCDs would allow advancements in X-ray imaging, such as improving image contrast, quantitative imaging, and material identification and characterization. However, aspects like detector spectral distortions and scattered photons from the object can impede these advantages if left unaccounted for. Scattered X-ray photons act as noise in an image and reduce image contrast, thereby significantly hindering PCD utility. In this paper, we explore and outline several important characteristics of spectral X-ray scatter with examples of soft-material imaging (such as cancer imaging in mammography or explosives detection in airport security). Our results showed critical spectral signatures of scattered photons that depend on a few adjustable experimental factors. Additionally, energy bins over a large portion of the spectrum exhibit lower scatter-to-primary ratio in comparison to what would be expected when using a conventional energy-integrating detector. These important findings allow flexible choice of scatter-correction methods and energy-bin utilization when using PCDs. Our findings also propel the development of efficient spectral X-ray scatter correction methods for a wide range of PCD-based applications.https://www.mdpi.com/1424-8220/19/22/5022x-ray scatterphoton-counting detectorsimagingcompton scatter
collection DOAJ
language English
format Article
sources DOAJ
author Cale E. Lewis
Mini Das
spellingShingle Cale E. Lewis
Mini Das
Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
Sensors
x-ray scatter
photon-counting detectors
imaging
compton scatter
author_facet Cale E. Lewis
Mini Das
author_sort Cale E. Lewis
title Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
title_short Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
title_full Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
title_fullStr Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
title_full_unstemmed Spectral Signatures of X-ray Scatter Using Energy-Resolving Photon-Counting Detectors
title_sort spectral signatures of x-ray scatter using energy-resolving photon-counting detectors
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-11-01
description Energy-resolving photon-counting detectors (PCDs) separate photons from a polychromatic X-ray source into a number of separate energy bins. This spectral information from PCDs would allow advancements in X-ray imaging, such as improving image contrast, quantitative imaging, and material identification and characterization. However, aspects like detector spectral distortions and scattered photons from the object can impede these advantages if left unaccounted for. Scattered X-ray photons act as noise in an image and reduce image contrast, thereby significantly hindering PCD utility. In this paper, we explore and outline several important characteristics of spectral X-ray scatter with examples of soft-material imaging (such as cancer imaging in mammography or explosives detection in airport security). Our results showed critical spectral signatures of scattered photons that depend on a few adjustable experimental factors. Additionally, energy bins over a large portion of the spectrum exhibit lower scatter-to-primary ratio in comparison to what would be expected when using a conventional energy-integrating detector. These important findings allow flexible choice of scatter-correction methods and energy-bin utilization when using PCDs. Our findings also propel the development of efficient spectral X-ray scatter correction methods for a wide range of PCD-based applications.
topic x-ray scatter
photon-counting detectors
imaging
compton scatter
url https://www.mdpi.com/1424-8220/19/22/5022
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