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Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man

X-ray computed tomography (CT) is a cardinal tool in clinical practice. It provides cross-sectional images within seconds. The recent introduction of clinical photon-counting CT allowed for an increase in spatial resolution by more than a factor of two resulting in a pixel size in the center of rota...

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Autores principales: Wehrse, Eckhard, Klein, Laura, Rotkopf, Lukas Thomas, Stiller, Wolfram, Finke, M., Echner, Gernot G., Glowa, Christin, Heinze, Sarah, Ziener, Christian Herbert, Schlemmer, Heinz Peter, Kachelrieß, Marc, Sawall, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311272/
https://www.ncbi.nlm.nih.gov/pubmed/35868888
http://dx.doi.org/10.1016/j.zemedi.2022.06.002
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author Wehrse, Eckhard
Klein, Laura
Rotkopf, Lukas Thomas
Stiller, Wolfram
Finke, M.
Echner, Gernot G.
Glowa, Christin
Heinze, Sarah
Ziener, Christian Herbert
Schlemmer, Heinz Peter
Kachelrieß, Marc
Sawall, Stefan
author_facet Wehrse, Eckhard
Klein, Laura
Rotkopf, Lukas Thomas
Stiller, Wolfram
Finke, M.
Echner, Gernot G.
Glowa, Christin
Heinze, Sarah
Ziener, Christian Herbert
Schlemmer, Heinz Peter
Kachelrieß, Marc
Sawall, Stefan
author_sort Wehrse, Eckhard
collection PubMed
description X-ray computed tomography (CT) is a cardinal tool in clinical practice. It provides cross-sectional images within seconds. The recent introduction of clinical photon-counting CT allowed for an increase in spatial resolution by more than a factor of two resulting in a pixel size in the center of rotation of about 150 µm. This level of spatial resolution is in the order of dedicated preclinical micro-CT systems. However so far, the need for different dedicated clinical and preclinical systems often hinders the rapid translation of early research results to applications in men. This drawback might be overcome by ultra-high resolution (UHR) clinical photon-counting CT unifying preclinical and clinical research capabilities in a single machine. Herein, the prototype of a clinical UHR PCD CT (SOMATOM CounT, Siemens Healthineers, Forchheim, Germany) was used. The system comprises a conventional energy-integrating detector (EID) and a novel photon-counting detector (PCD). While the EID provides a pixel size of 0.6 mm in the centre of rotation, the PCD provides a pixel size of 0.25 mm. Additionally, it provides a quantification of photon energies by sorting them into up to four distinct energy bins. This acquisition of multi-energy data allows for a multitude of applications, e.g. pseudo-monochromatic imaging. In particular, we examine the relation between spatial resolution, image noise and administered radiation dose for a multitude of use-cases. These cases include ultra-high resolution and multi-energy acquisitions of mice administered with a prototype bismuth-based contrast agent (nanoPET Pharma, Berlin, Germany) as well as larger animals and actual patients. The clinical EID provides a spatial resolution of about 9 lp/cm (modulation transfer function at 10%, MTF(10%)) while UHR allows for the acquisition of images with up to 16 lp/cm allowing for the visualization of all relevant anatomical structures in preclinical and clinical specimen. The spectral capabilities of the system enable a variety of applications previously not available in preclinical research such as pseudo-monochromatic images. Clinical ultra-high resolution photon-counting CT has the potential to unify preclinical and clinical research on a single system enabling versatile imaging of specimens and individuals ranging from mice to man.
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spelling pubmed-103112722023-07-01 Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man Wehrse, Eckhard Klein, Laura Rotkopf, Lukas Thomas Stiller, Wolfram Finke, M. Echner, Gernot G. Glowa, Christin Heinze, Sarah Ziener, Christian Herbert Schlemmer, Heinz Peter Kachelrieß, Marc Sawall, Stefan Z Med Phys Original Paper X-ray computed tomography (CT) is a cardinal tool in clinical practice. It provides cross-sectional images within seconds. The recent introduction of clinical photon-counting CT allowed for an increase in spatial resolution by more than a factor of two resulting in a pixel size in the center of rotation of about 150 µm. This level of spatial resolution is in the order of dedicated preclinical micro-CT systems. However so far, the need for different dedicated clinical and preclinical systems often hinders the rapid translation of early research results to applications in men. This drawback might be overcome by ultra-high resolution (UHR) clinical photon-counting CT unifying preclinical and clinical research capabilities in a single machine. Herein, the prototype of a clinical UHR PCD CT (SOMATOM CounT, Siemens Healthineers, Forchheim, Germany) was used. The system comprises a conventional energy-integrating detector (EID) and a novel photon-counting detector (PCD). While the EID provides a pixel size of 0.6 mm in the centre of rotation, the PCD provides a pixel size of 0.25 mm. Additionally, it provides a quantification of photon energies by sorting them into up to four distinct energy bins. This acquisition of multi-energy data allows for a multitude of applications, e.g. pseudo-monochromatic imaging. In particular, we examine the relation between spatial resolution, image noise and administered radiation dose for a multitude of use-cases. These cases include ultra-high resolution and multi-energy acquisitions of mice administered with a prototype bismuth-based contrast agent (nanoPET Pharma, Berlin, Germany) as well as larger animals and actual patients. The clinical EID provides a spatial resolution of about 9 lp/cm (modulation transfer function at 10%, MTF(10%)) while UHR allows for the acquisition of images with up to 16 lp/cm allowing for the visualization of all relevant anatomical structures in preclinical and clinical specimen. The spectral capabilities of the system enable a variety of applications previously not available in preclinical research such as pseudo-monochromatic images. Clinical ultra-high resolution photon-counting CT has the potential to unify preclinical and clinical research on a single system enabling versatile imaging of specimens and individuals ranging from mice to man. Elsevier 2022-07-19 /pmc/articles/PMC10311272/ /pubmed/35868888 http://dx.doi.org/10.1016/j.zemedi.2022.06.002 Text en © 2022 Published by Elsevier GmbH on behalf of DGMP, ÖGMP and SSRMP. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Wehrse, Eckhard
Klein, Laura
Rotkopf, Lukas Thomas
Stiller, Wolfram
Finke, M.
Echner, Gernot G.
Glowa, Christin
Heinze, Sarah
Ziener, Christian Herbert
Schlemmer, Heinz Peter
Kachelrieß, Marc
Sawall, Stefan
Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title_full Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title_fullStr Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title_full_unstemmed Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title_short Ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
title_sort ultrahigh resolution whole body photon counting computed tomography as a novel versatile tool for translational research from mouse to man
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311272/
https://www.ncbi.nlm.nih.gov/pubmed/35868888
http://dx.doi.org/10.1016/j.zemedi.2022.06.002
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