RPS 113 - The ultimate goal: improvement of image quality
Lectures
1
RPS 113 - Bin-combination-based noise reduction for metal artifact reduction in photon-counting CT
05:04P. Trapp, Heidelberg / DE
2
RPS 113 - Model observer assessment of photon-counting-detector coronary CT angiography and comparison with energy-integrating-detector CT
09:17D. Rotzinger, Lausanne / CH
3
RPS 113 - Virtual monoenergetic images from dual-energy CT: systematic assessment of task-based image quality performance for dual-source dual-energy CT
04:51A. Euler, Zurich / CH
4
RPS 113 - Integrated investigation of radiomic features reproducibility in NSCLC patients: the impact of scanner, x-ray tube voltage and strength of reconstruction algorithms in contrast-enhanced CT images
04:54L. Rinaldi, Milan / IT
5
RPS 113 - Image quality characterisation of a biplane angiographic equipment with moving details and generalised spatio-temporal model observers
04:47R. Villa, Monza / IT
6
RPS 113 - Effect on image quality and dose reduction of a new deep learning reconstruction algorithm for CT compared with a hybrid and an advanced MBIR algorithms: a phantom study
05:02J. Greffier, Nimes / FR
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