naa a22 4500 510807348 CHVBK 20180411083424.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1007/s11548-012-0792-4 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0792-4 Lundström Claes CMIV, Linköping University Hospital, 58185, Linköping, Sweden aut vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging [Elektronische Daten] [Claes Lundström] Purpose Often, the large amounts of data generated in diagnostic imaging cause overload problems for IT systems and radiologists. This entails a need of effective use of data reduction beyond lossless levels, which, in turn, underlines the need to measure and control the image fidelity. Existing image fidelity metrics, however, fail to fully support important requirements from a modern clinical context: support for high-dimensional data, visualization awareness, and independence from the original data. Methods We propose an image fidelity metric, called the visual peak signal-to-noise ratio (vPSNR), fulfilling the three main requirements. A series of image fidelity tests on CT data sets is employed. The impact of visualization transform (grayscale window) on diagnostic quality of irreversibly compressed data sets is evaluated through an observer-based study. In addition, several tests were performed demonstrating the benefits, limitations, and characteristics of vPSNR in different data reduction scenarios. Results The visualization transform has a significant impact on diagnostic quality, and the vPSNR is capable of representing this effect. Moreover, the tests establish that the vPSNR is broadly applicable. Conclusions vPSNR fills a gap not served by existing image fidelity metrics, relevant for the clinical context. While vPSNR alone cannot fulfill all image fidelity needs, it can be a useful complement in a wide range of scenarios. CARS, 2012 Image fidelity nationallicence Image quality nationallicence Metric nationallicence Diagnostic imaging nationallicence vPSNR nationallicence Data reduction nationallicence Image compression nationallicence Visualization nationallicence Perception nationallicence International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/3(2013-05-01), 437-450 1861-6410 8:3<437 2013 8 11548 https://doi.org/10.1007/s11548-012-0792-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0792-4 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lundström Claes CMIV, Linköping University Hospital, 58185, Linköping, Sweden aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/3(2013-05-01), 437-450 1861-6410 8:3<437 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer