Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR—Performance of a Novel Calcium-Preserving Reconstruction Algorithm
J. Decker,Stefanie Bette,Christian Scheurig-Muenkler,B. Jehs,Franka Risch,Piotr Woznicki,Franziska M. Braun,M. Haerting,Claudia Wollny,Thomas J. Kroencke,Florian Schwarz +10 more
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TLDR
VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications and could replace TNC-series in almost all cases.Abstract:
The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients after endovascular aneurysm repair (EVAR). 20 EVAR patients who had undergone CTA (unenhanced and arterial phase) on a novel PCD-CT were included. VNCConv- and VNCPC-series were derived from CTA-datasets and intraluminal signal and noise compared. Three readers evaluated image quality, contrast removal, and removal of calcifications/stent parts and assessed all VNC-series for their suitability to replace TNC-series. Image noise was higher in VNC- than in TNC-series (18.6 ± 5.3 HU, 16.7 ± 7.1 HU, and 14.9 ± 7.1 HU for VNCConv-, VNCPC-, and TNC-series, p = 0.006). Subjective image quality was substantially higher in VNCPC- than VNCConv-series (4.2 ± 0.9 vs. 2.5 ± 0.6; p < 0.001). Aortic contrast removal was complete in all VNC-series. Unlike in VNCConv-reconstructions, only minuscule parts of stents or calcifications were erroneously subtracted in VNCPC-reconstructions. Readers considered 95% of VNCPC-series fully or mostly suited to replace TNC-series; for VNCConv-reconstructions, however, only 75% were considered mostly (and none fully) suited for TNC-replacement. VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications. They could replace TNC-series in almost all cases.read more
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Journal ArticleDOI
Virtual Noncontrast Abdominal Imaging with Photon-counting Detector CT.
Victor Mergen,Damien Racine,Lisa M Jungblut,Thomas Sartoretti,Steven Bickel,P. Monnin,Kai Higashigaito,Katharina Martini,Hatem Alkadhi,André Euler +9 more
TL;DR: Abdominal virtual noncont contrast images from the arterial and portal venous phase of photon-counting detector CT yielded accurate CT attenuation and good image quality compared with true noncontrast images.
Journal ArticleDOI
New Horizons in Vascular Imaging With Photon-Counting Detector CT
TL;DR: In this article , the photon-counting detector (PCD)-CT was introduced into clinical routine for vascular imaging, such as the decreased noise levels, improved contrast-to-noise ratio, and full spectral multi-energy data information from every acquisition.
Journal ArticleDOI
Stent imaging on a clinical dual-source photon-counting detector CT system—impact of luminal attenuation and sharp kernels on lumen visibility
J. Decker,Jim O'Doherty,U. Joseph Schoepf,Thomas M. Todoran,Gilberto J. Aquino,Verena Brandt,Dhiraj Baruah,Nicola Fink,Emese Zsarnóczay,Thomas Flohr,Bernhard Schmidt,T. Allmendinger,Franka Risch,Akos Varga-Szemes,Tilman Emrich +14 more
Journal ArticleDOI
New Horizons in Vascular Imaging With Photon-Counting Detector CT
TL;DR: In this article , the photon-counting detector (PCD)-CT has been used for noninvasive vascular imaging with computed tomography (CT), which has become the clinical mainstay for many indications and body regions.
Journal ArticleDOI
Assessment of epicardial adipose tissue on virtual non-contrast images derived from photon-counting detector coronary CTA datasets
Franka Risch,Florian Schwarz,Franziska M. Braun,Stefanie Bette,Judith E. Becker,Christian Scheurig-Muenkler,Thomas J. Kroencke,J. Decker +7 more
TL;DR: In this paper , the authors used linear regression to assess epicardial adipose tissue (EAT) volume and attenuation of different virtual noncontrast (VNC) reconstructions derived from coronary CTA (CCTA) datasets of a photon-counting detector (PCD) CT-system to replace true non-contrast.
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