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Integration of a hybrid photon counting detector into a lab-based μCT scanner for 3D X-ray histology

Integration of a hybrid photon counting detector into a lab-based μCT scanner for 3D X-ray histology
Integration of a hybrid photon counting detector into a lab-based μCT scanner for 3D X-ray histology
Previous work has demonstrated the general capability of hybrid photon counting (HPC) detectors for computed tomography (CT) [1, 2]. These studies have not investigated imaging very low internal X-ray contrast specimens such as Formalin-Fixed Paraffin-Embedded (FFPE) soft tissue. Imaging of FFPE soft tissue has been demonstrated using energy integrating detectors [3]. HPC detectors allow the simultaneous acquisition of multiple images based on different energy thresholds, narrowing the range of the detected X-rays and providing energy-dependent information. This enables energy-resolved X-ray imaging and thus spectral CT, such as dual X-ray imaging for K-edge imaging, an imaging mode previously impractical with a broad polychromatic X-ray beam, typically produced by lab-based μCT scanners.
The aim of this study was to μ-CT scan FFPE soft tissue samples on a Nikon XH 225 ST μCT scanner by integrating a DECTRIS SANTIS 3204 HR detector, which required the development of custom hardware and software (Figure 1). The raw projections produced by the SANTIS detector exhibit horizontal and verticals gaps throughout the image (Figure 2a), due to the construction of the detector. To reduce the impact of these lines, a custom image acquisition and post-processing routine has been developed to enable artefact-free 3D volumes to be reconstructed (Figure 2b, Figure 3). A sample of FFPE rat lung was imaged at 80 kVp, 6.9 W (32μm voxels, 2401 projections), with two energy thresholds (8.7 keV and 20 keV) captured, below and above the characteristic energies of the molybdenum target. As the aim of this work was to integrate systems, the imaging conditions were not optimised.
Having shown that it is possible to integrate a HPC detector into a commercial μ-CT scanner, future work includes optimising acquisition parameters and reconstruction algorithms to improve image quality and to fully realise the potential of HPC detectors when imaging soft tissue samples.
Basford, Philip J
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Katsamenis, Orestis L.
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Boardman, Richard
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Robinson, Stephanie
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Konstantinopoulou, Elena
Gkoumas, Spyridon
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Thuering, Thomas
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Lackie, Peter
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Cox, Simon
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Schneider, Philipp
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Basford, Philip J
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Katsamenis, Orestis L.
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Boardman, Richard
5818d677-5732-4e8a-a342-7164dbb10df1
Robinson, Stephanie
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Konstantinopoulou, Elena
Gkoumas, Spyridon
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Thuering, Thomas
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Lackie, Peter
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Cox, Simon
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Schneider, Philipp
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Basford, Philip J, Katsamenis, Orestis L., Boardman, Richard, Robinson, Stephanie, Konstantinopoulou, Elena, Gkoumas, Spyridon, Thuering, Thomas, Lackie, Peter, Cox, Simon and Schneider, Philipp (2021) Integration of a hybrid photon counting detector into a lab-based μCT scanner for 3D X-ray histology. ToScA UK & Europe 2021. 01 - 03 Sep 2021. 3 pp .

Record type: Conference or Workshop Item (Poster)

Abstract

Previous work has demonstrated the general capability of hybrid photon counting (HPC) detectors for computed tomography (CT) [1, 2]. These studies have not investigated imaging very low internal X-ray contrast specimens such as Formalin-Fixed Paraffin-Embedded (FFPE) soft tissue. Imaging of FFPE soft tissue has been demonstrated using energy integrating detectors [3]. HPC detectors allow the simultaneous acquisition of multiple images based on different energy thresholds, narrowing the range of the detected X-rays and providing energy-dependent information. This enables energy-resolved X-ray imaging and thus spectral CT, such as dual X-ray imaging for K-edge imaging, an imaging mode previously impractical with a broad polychromatic X-ray beam, typically produced by lab-based μCT scanners.
The aim of this study was to μ-CT scan FFPE soft tissue samples on a Nikon XH 225 ST μCT scanner by integrating a DECTRIS SANTIS 3204 HR detector, which required the development of custom hardware and software (Figure 1). The raw projections produced by the SANTIS detector exhibit horizontal and verticals gaps throughout the image (Figure 2a), due to the construction of the detector. To reduce the impact of these lines, a custom image acquisition and post-processing routine has been developed to enable artefact-free 3D volumes to be reconstructed (Figure 2b, Figure 3). A sample of FFPE rat lung was imaged at 80 kVp, 6.9 W (32μm voxels, 2401 projections), with two energy thresholds (8.7 keV and 20 keV) captured, below and above the characteristic energies of the molybdenum target. As the aim of this work was to integrate systems, the imaging conditions were not optimised.
Having shown that it is possible to integrate a HPC detector into a commercial μ-CT scanner, future work includes optimising acquisition parameters and reconstruction algorithms to improve image quality and to fully realise the potential of HPC detectors when imaging soft tissue samples.

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Published date: 1 September 2021
Venue - Dates: ToScA UK & Europe 2021, 2021-09-01 - 2021-09-03

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Local EPrints ID: 451309
URI: http://eprints.soton.ac.uk/id/eprint/451309
PURE UUID: edfee8d2-5af3-4922-b11e-05445b3f4743
ORCID for Philip J Basford: ORCID iD orcid.org/0000-0001-6058-8270
ORCID for Orestis L. Katsamenis: ORCID iD orcid.org/0000-0003-4367-4147
ORCID for Richard Boardman: ORCID iD orcid.org/0000-0002-4008-0098
ORCID for Stephanie Robinson: ORCID iD orcid.org/0000-0001-5436-2929
ORCID for Peter Lackie: ORCID iD orcid.org/0000-0001-7138-3764
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576

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Date deposited: 20 Sep 2021 16:32
Last modified: 21 Sep 2021 01:47

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Contributors

Author: Stephanie Robinson ORCID iD
Author: Elena Konstantinopoulou
Author: Spyridon Gkoumas
Author: Thomas Thuering
Author: Peter Lackie ORCID iD
Author: Simon Cox

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