Universität zu Köln

Michael, Arwed Elias, Boriesosdick, Jan, Schoenbeck, Denise, Woeltjen, Matthias Michael ORCID: 0000-0001-7624-5109, Saeed, Saher ORCID: 0000-0001-9360-3131, Kroeger, Jan Robert ORCID: 0000-0003-1218-7610, Horstmeier, Sebastian ORCID: 0000-0001-5352-0059, Lennartz, Simon, Borggrefe, Jan ORCID: 0000-0003-2908-7560 and Niehoff, Julius Henning (2022). Image-Quality Assessment of Polyenergetic and Virtual Monoenergetic Reconstructions of Unenhanced CT Scans of the Head: Initial Experiences with the First Photon-Counting CT Approved for Clinical Use. Diagnostics, 12 (2). BASEL: MDPI. ISSN 2075-4418

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Abstract

In 2021, the first clinical photon-counting CT (PCCT) was introduced. The purpose of this study is to evaluate the image quality of polyenergetic and virtual monoenergetic reconstructions in unenhanced PCCTs of the head. A total of 49 consecutive patients with unenhanced PCCTs of the head were retrospectively included. The signals +/- standard deviations of the gray and white matter were measured at three different locations in axial slices, and a measure of the artifacts below the cranial calvaria and in the posterior fossa between the petrous bones was also obtained. The signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) were calculated for all reconstructions. In terms of the SNRs and CNRs, the polyenergetic reconstruction is superior to all virtual monoenergetic reconstructions (p < 0.001). In the MERs, the highest SNR is found in the 70 keV MER, and the highest CNR is in the 65 keV MER. In terms of artifacts below the cranial calvaria and in the posterior fossa, certain MERs are superior to polyenergetic reconstruction (p < 0.001). The PCCT provided excellent image contrast and low-noise profiles for the differentiation of the grey and white matter. Only the artifacts below the calvarium and in the posterior fossa still underperform, which is attributable to the lack of an artifact reduction algorithm in image postprocessing. It is conceivable that the usual improvements in image postprocessing, especially with regard to glaring artifacts, will lead to further improvements in image quality.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Michael, Arwed Elias UNSPECIFIED UNSPECIFIED UNSPECIFIED Boriesosdick, Jan UNSPECIFIED UNSPECIFIED UNSPECIFIED Schoenbeck, Denise UNSPECIFIED UNSPECIFIED UNSPECIFIED Woeltjen, Matthias Michael UNSPECIFIED orcid.org/0000-0001-7624-5109 UNSPECIFIED Saeed, Saher UNSPECIFIED orcid.org/0000-0001-9360-3131 UNSPECIFIED Kroeger, Jan Robert UNSPECIFIED orcid.org/0000-0003-1218-7610 UNSPECIFIED Horstmeier, Sebastian UNSPECIFIED orcid.org/0000-0001-5352-0059 UNSPECIFIED Lennartz, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Borggrefe, Jan UNSPECIFIED orcid.org/0000-0003-2908-7560 UNSPECIFIED Niehoff, Julius Henning UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-664161
DOI:	10.3390/diagnostics12020265
Journal or Publication Title:	Diagnostics
Volume:	12
Number:	2
Date:	2022
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2075-4418
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ENERGY COMPUTED-TOMOGRAPHY; BEAM-HARDENING ARTIFACTS; DETECTOR CT; REDUCTION Multiple languages Medicine, General & Internal Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/66416