Hickethier, Tilman ORCID: 0000-0001-9303-9470, Baessler, Bettina ORCID: 0000-0002-3244-3864, Kroeger, Jan Robert, Doerner, Jonas, Pahn, Gregor, Maintz, David, Michels, Guido and Bunck, Alexander C. (2017). Monoenergetic reconstructions for imaging of coronary artery stents using spectral detector CT: In-vitro experience and comparison to conventional images. J. Cardiovasc. Comput. Tomogr., 11 (1). S. 33 - 40. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1934-5925

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Abstract

Purpose: Accurate assessment of coronary stents using non-invasive CT imaging remains challenging despite new stent materials and improvements in CT technology. Virtual monoenergetic (monoE) images reconstructed from dual energy CT acquisitions potentially decrease artifacts caused by coronary stents. A novel spectral detector technology provides monoE and conventional images simultaneously for all conducted scans. The purpose of our study was to systematically investigate the influence of different monoE reconstructions on the visualization of coronary stent lumen in comparison to conventional images. Method and materials: Ten different coronary stents (diameter 3.0 mm) embedded in plastic tubes filled with contrast agent (500 HU) were scanned with a 128-row spectral detector CT (IQon, Philips, 120 kV, 125 mAs). Images were reconstructed (0.67 mm slice thickness, 0.35 mm increment) with a stent-specific conventional reconstruction kernel and 6 different monoE settings (60, 70, 80, 90, 100, 150 keV). Image quality for each stent and reconstruction was quantified using established parameters: image noise (standard deviation (SD) within a standardized ROI), in-stent attenuation difference (mean attenuation difference between stented and non-stented lumen) and visible lumen diameter (mean visible diameter of the stented tube). Results: Image noise was significantly lower in all monoE data dets compared to conventional images (conventional: 13.41, 60 key: 11.62, 70 keV: 11.67, 80 keV: 11.69, 90 key: 11.71, 100 keV: 11.75, 150 keV: 11.80 HU SD; p < 0.01). The in-stent attenuation difference was significantly smaller in monoE data with higher keV levels than in conventional images (conventional: 148.18, 60 keV: 154.13 p = 0.036, 70 keV: 143.43 p = 0.109, 80 keV: 137.25 p = 0.052, 90 key: 133.02 p = 0.043,100 keV: 130.12 p = 0.039,150 keV: 123.99 HU p = 0.035). The visible lumen diameter was significantly greater in monoE data with higher keV levels than in conventional images (conventional: 0.65, 60 keV: 0.68 p = 0.542, 70 keV: 0.71 p = 0.053, 80 keV: 0.74 p < 0.01, 90 keV: 0.77 p < 0.01,100 keV: 0.82 p < 0.01,150 keV: 0.87 mm p < 0.01). Conclusion: In comparison to conventional CT images, well-established parameters for objective assessment of CT image quality for coronary stents are significantly improved by utilization of monoE reconstructions with adequate keV levels derived from data acquired on a novel spectral detector CT platform. (C) 2017 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Hickethier, TilmanUNSPECIFIEDorcid.org/0000-0001-9303-9470UNSPECIFIED
Baessler, BettinaUNSPECIFIEDorcid.org/0000-0002-3244-3864UNSPECIFIED
Kroeger, Jan RobertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Doerner, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pahn, GregorUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Maintz, DavidUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Michels, GuidoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bunck, Alexander C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-247077
DOI: 10.1016/j.jcct.2016.12.005
Journal or Publication Title: J. Cardiovasc. Comput. Tomogr.
Volume: 11
Number: 1
Page Range: S. 33 - 40
Date: 2017
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1934-5925
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
COMPUTED-TOMOGRAPHY; ILIAC ARTERIES; XIENCE PHANTOM; ANGIOGRAPHY; PATENCY; MMMultiple languages
Cardiac & Cardiovascular Systems; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/24707

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