Universität zu Köln

Wichtmann, Hildegard M., Laukamp, Kai R., Manneck, Sebastian, Appelt, Konrad, Stieltjes, Bram, Boll, Daniel T., Benz, Matthias R. and Obmann, Markus M. (2023). Metal implants on abdominal CT: does split-filter dual-energy CT provide additional value over iterative metal artifact reduction? Abdom. Radiol., 48 (1). S. 424 - 436. NEW YORK: SPRINGER. ISSN 2366-0058

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Abstract

Purpose To assess image quality and metal artifact reduction in split-filter dual-energy CT (sfDECT) of the abdomen with hip or spinal implants using virtual monoenergetic images (VMI) and iterative metal artifact reduction algorithm (iMAR). Methods 102 portal-venous abdominal sfDECTs of patients with hip (n = 71) or spinal implants (n = 31) were included in this study. Images were reconstructed as 120kVp-equivalent images (Mixed) and VMI (40-190 keV), with and without iMAR. Quantitative artifact and image noise was measured using 12 different ROIs. Subjective image quality was rated by two readers using a five- point Likert-scale in six categories, including overall image quality and vascular contrast. Results Lowest quantitative artifact in both hip and spinal implants was measured in VMI190keV-iMAR. However, it was not significantly lower than in Mixed(iMAR) (for all ROIs, p = 1.00), which were rated best for overall image quality (hip: 1.00 [IQR: 1.00-2.00], spine: 3.00 [IQR:2.00-3.00]). VMI50keV- iMAR was rated best for vascular contrast (hip: 1.00 [IQR: 1.00-2.00], spine: 2.00 [IQR: 1.00-2.00]), which was significantly better than Mixed (both, p < 0.001). VMI50keV-iMAR provided superior overall image quality compared to Mixed for hip (1.00 vs 2.00, p < 0.001) and similar diagnostic image quality for spinal implants (2.00 vs 2.00, p = 0.51). Conclusion For abdominal sfDECT with hip or spinal implants Mixed(iMAR) images should be used. High keV VMI do not further improve image quality. IMAR allows the use of low keV images (VMI50keV) to improve vascular contrast, compared to Mixed images.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Wichtmann, Hildegard M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Laukamp, Kai R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Manneck, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Appelt, Konrad UNSPECIFIED UNSPECIFIED UNSPECIFIED Stieltjes, Bram UNSPECIFIED UNSPECIFIED UNSPECIFIED Boll, Daniel T. UNSPECIFIED UNSPECIFIED UNSPECIFIED Benz, Matthias R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Obmann, Markus M. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-675938
DOI:	10.1007/s00261-022-03682-3
Journal or Publication Title:	Abdom. Radiol.
Volume:	48
Number:	1
Page Range:	S. 424 - 436
Date:	2023
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	2366-0058
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPUTED BODY TOMOGRAPHY; MAGNETIC-RESONANCE; REDUCING ARTIFACTS; IMAGE-QUALITY; WHITE PAPER; HARDWARE; RECONSTRUCTION; SOFTWARE; SOCIETY; SPINE Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/67593