期刊
PHYSICS IN MEDICINE AND BIOLOGY
卷 53, 期 10, 页码 2471-2493出版社
IOP Publishing Ltd
DOI: 10.1088/0031-9155/53/10/002
关键词
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We consider noise in computed tomography images that are reconstructed using the classical direct fan-beam filtered backprojection algorithm, from both full-and short-scan data. A new, accurate method for computing image covariance is presented. The utility of the new covariance method is demonstrated by its application to the implementation of a channelized Hotelling observer for a lesion detection task. Results from the new covariance method and its application to the channelized Hotelling observer are compared with results from Monte Carlo simulations. In addition, the impact of a bowtie filter and x-ray tube current modulation on reconstruction noise and lesion detectability are explored for full-scan reconstruction.
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