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Matthias Eberhard
University of Zurich
22Publications
4H-index
37Citations
Publications 25
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#1Matthias Eberhard (UZH: University of Zurich)H-Index: 4
#2Matthias Hermann (UZH: University of Zurich)H-Index: 21
Last.Hatem Alkadhi (UZH: University of Zurich)H-Index: 68
view all 6 authors...
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OBJECTIVES: The aim of this study was to compare image quality, conspicuity, and endoleak detection between single-energy low-kV images (SEIs) and dual-energy low-keV virtual monoenergetic images (VMIs+) in computed tomography angiography of the aorta after endovascular repair. MATERIALS AND METHODS: An abdominal aortic aneurysm phantom simulating 36 endoleaks (2 densities; diameters: 2, 4, and 6 mm) in a medium- and large-sized patient was used. Each size was scanned using single-energy at 80 k...
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#1Ricarda HinzpeterH-Index: 5
#2Matthias EberhardH-Index: 4
Last.Hatem AlkadhiH-Index: 68
view all 9 authors...
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#1Ricarda HinzpeterH-Index: 5
#2Matthias EberhardH-Index: 4
Last.Hatem AlkadhiH-Index: 68
view all 8 authors...
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#1Etem Caliskan (Charité)H-Index: 6
#2Matthias Eberhard (UZH: University of Zurich)H-Index: 4
Last.Maximilian Y. Emmert (Charité)H-Index: 29
view all 5 authors...
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#1Alexander Ciritsis (UZH: University of Zurich)H-Index: 5
#2Cristina Rossi (UZH: University of Zurich)H-Index: 14
Last.Andreas Boss (UZH: University of Zurich)H-Index: 33
view all 6 authors...
Objectives To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision-making according to the Breast Imaging Reporting and Data System (BI-RADS).
2 CitationsSource
#1Erik W. Holy (UZH: University of Zurich)H-Index: 15
#2Julia Kebernik (UZH: University of Zurich)H-Index: 3
Last.F.C. Tanner (UZH: University of Zurich)H-Index: 3
view all 11 authors...
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#1Gianluca Milanese (University of Parma)H-Index: 3
#2Mario Silva (University of Parma)H-Index: 10
Last.Ugo PastorinoH-Index: 56
view all 10 authors...
PURPOSE To test ultra-low-dose computed tomography (ULDCT) scanning protocols for the detection of pulmonary nodules (PN). METHODS A chest phantom containing 19 solid and 11 subsolid PNs was scanned on a third-generation dual-source computed tomography (CT) scanner. Five ULDCT scans (Sn100kVp and 120, 70, 50, 30, and 20 reference mAs, using tube current modulation), reconstructed with iterative reconstruction (IR) algorithm at strength levels 2, 3, 4, and 5, were compared with standard CT (120kV...
1 CitationsSource
Background: To reduce the radiation exposure from chest computed tomography (CT), ultralow-dose CT (ULDCT) protocols performed at sub-millisievert levels were previously tested for the evaluation of pulmonary nodules (PNs). The purpose of our study was to investigate the effect of ULDCT and iterative image reconstruction on volumetric measurements of solid PNs. Methods: CT datasets of an anthropomorphic chest phantom containing solid microspheres were obtained with a third-generation dual-source...
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#1Matthias Eberhard (UZH: University of Zurich)H-Index: 4
#2Christian Blüthgen (UZH: University of Zurich)H-Index: 2
Last.Katharina Martini (UZH: University of Zurich)H-Index: 7
view all 6 authors...
Objectives To assess the effect of vertical off-centering in tube current modulation (TCM) on effective-dose and image-noise in reduced-dose (RD) chest-CT. Methods One-hundred consecutive patients (36 female; mean age 56 years) were scanned on a 192-slice CT scanner with a standard-dose (ND) and a RD chest-CT protocol using tube current modulation. Image-noise was evaluated by placing circular regions of interest in the apical, middle, and lower lung regions. Two independent readers evaluated im...
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