Convolutional neural network-based model observer for signal known statistically task in breast tomosynthesis images.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16395
Abstract: BACKGROUND Since human observer studies are resource-intensive, mathematical model observers are frequently used to assess task-based image quality. The most common implementation of these model observers assume that the signal information is exactly known. However,… read more here.
Keywords: based model; model; cnn based; model observer ... See more keywords
Task-based quantification of image quality using a model observer in abdominal CT: a multicentre study
Sign Up to like & getrecommendations! Published in 2018 at "European Radiology"
DOI: 10.1007/s00330-018-5518-8
Abstract: ObjectiveWe investigated the variability in diagnostic information inherent in computed tomography (CT) images acquired at 68 different CT units, with the selected acquisition protocols aiming to answer the same clinical question.MethodsAn anthropomorphic abdominal phantom with… read more here.
Keywords: study; image; image quality; model observer ... See more keywords
[P022] Assessment of the detectability of a moving guidewire in fluoroscopically-guided procedures using a mathematical model observer
Sign Up to like & getrecommendations! Published in 2018 at "Physica Medica"
DOI: 10.1016/j.ejmp.2018.06.350
Abstract: Purpose Fluoroscopically-guided procedures are among the most irradiating medical interventions. Thus, a fair amount of pressure is put on reducing patient exposure. This can be achieved by adapting the unit’s protocols, and by using technical… read more here.
Keywords: detectability moving; unit; model observer; guidewire ... See more keywords
A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks.
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abbf9d
Abstract: The purpose of this study is implementation of an anthropomorphic model observer using a convolutional neural network (CNN) for signal-known-statistically (SKS) and background-known-statistically (BKS) detection tasks. We conduct SKS/BKS detection tasks on simulated cone beam… read more here.
Keywords: detection tasks; known statistically; model; model observer ... See more keywords