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28 March 2007 Statistical characterization of radiological images: basic principles and recent progress
Harrison H. Barrett, Kyle J. Myers
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Proceedings Volume 6510, Medical Imaging 2007: Physics of Medical Imaging; 651002 (2007) https://doi.org/10.1117/12.716908
Event: Medical Imaging, 2007, San Diego, CA, United States
Abstract
This paper surveys our current understanding of the statistical properties of radiological images and their effect on image quality. Attention is given to statistical descriptions needed to compute the performance of ideal or ideal-linear observers on detection and estimation tasks. The effects of measurement noise, random objects and random imaging system are analyzed by nested conditional averaging, leading to a three-term expansion of the data covariance matrix. Characteristic functionals are introduced to account for the object statistics, and it is shown how they can be used to compute the image statistics.
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Harrison H. Barrett and Kyle J. Myers "Statistical characterization of radiological images: basic principles and recent progress", Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 651002 (28 March 2007); https://doi.org/10.1117/12.716908
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors
Imaging systems
Image processing
Statistical analysis
Image quality
Radiography
Statistical modeling
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