Coronary stent imaging in photon counting computed Tomography: Optimization of reconstruction kernels in a phantom.

Autor: Michael AE; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: arwed.michael@muehlenkreiskliniken.de., Schoenbeck D; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: denise.schoenbeck@muehlenkreiskliniken.de., Becker-Assmann J; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: jendrik.becker-assmann@muehlenkreiskliniken.de., Niehoff JH; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: julius.niehoff@muehlenkreiskliniken.de., Flohr T; Siemens Healthineers, Erlangen, Germany. Electronic address: thomas.flohr@siemens-healthineers.com., Schmidt B; Siemens Healthineers, Erlangen, Germany. Electronic address: bernhard.schmidt@siemens-healthineers.com., Panknin C; Siemens Healthineers, Erlangen, Germany. Electronic address: christoph.panknin@siemens-healthineers.com., Baer-Beck M; Siemens Healthineers, Erlangen, Germany. Electronic address: matthias.baer@siemens-healthineers.com., Hickethier T; Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany. Electronic address: thicketh@uni-koeln.de., Maintz D; Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany. Electronic address: david.maintz@uni-koeln.de., Bunck AC; Institute for Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany. Electronic address: alexander.bunck@uni-koeln.de., Borggrefe J; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: jan.borggrefe@muehlenkreiskliniken.de., Wiemer M; Department of Cardiology and Internal Intensive Care, Johannes Wesling University Hospital, Minden, Germany. Electronic address: marcus.wiemer@muehlenkreiskliniken.de., Rudolph V; Department of General and Interventional Cardiology and Angiology, HDZ NRW, Ruhr University Bochum, Bochum, Germany. Electronic address: vrudolph@hdz-nrw.de., Kroeger JR; Department of Radiology, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany. Electronic address: janrobert.kroeger@muehlenkreiskliniken.de.
Jazyk: angličtina
Zdroj: European journal of radiology [Eur J Radiol] 2023 Sep; Vol. 166, pp. 110983. Date of Electronic Publication: 2023 Jul 17.
DOI: 10.1016/j.ejrad.2023.110983
Abstrakt: Purpose: Imaging stents and in-stent stenosis remains a challenge in coronary computed tomography angiography (CCTA). In comparison to conventional Computed Tomography, Photon Counting CT (PCCT) provides decisive clinical advantages, among other things by providing low dose ultra-high resolution imaging of coronary arteries. This work investigates the image quality in CCTA using clinically established kernels and those optimized for the imaging of cardiac stents in PCCT, both for in-vitro stent imaging in 400 μm standard resolution mode (SRM) and 200 μm Ultra High Resolution Mode (UHR).
Methods: Based on experimental scans, vascular reconstruction kernels (Bv56, Bv64, Bv72) were optimized. In an established phantom, 10 different coronary stents with 3 mm diameter were scanned in the first clinically available PCCT. Scans were reconstructed with clinically established and optimized kernels. Four readers measured visible stent lumen, performed ROI-based density measurements and rated image quality.
Results: Regarding the visible stent lumen, UHR is significantly superior to SRM (p < 0.001). In all levels, the optimized kernels are superior to the clinically established kernels (p < 0.001). One optimized kernel showed a significant reduction of noise compared to the clinically established kernels. Overall image quality is improved with optimized kernels.
Conclusions: In a phantom study PCCT UHR with optimized kernels for stent imaging significantly improves the ability to assess the in-stent lumen of small cardiac stents. We recommend using UHR with an optimized sharp vascular reconstruction kernel (Bv72uo) for imaging of cardiac stent.
Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [J.R. Kroeger received research support from Philips, support for attending meetings and/or travel from Veryan, honoraria for scientific lectures from GE Healthcare and honoraria for clinical advisory board membership from Siemens Healthineers. J. Borggrefe received honoraria for scientific lectures from Siemens Healthineers and Philips Healthcare. Th. Flohr, B. Schmidt, Ch. Panknin and M. Baer-Beck are empoyees of Siemens Healthineers.].
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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