Literature DB >> 7291309

Analysis of recorded image noise in nuclear medicine.

B M Tsui, R N Beck, K Doi, C E Metz.   

Abstract

The concepts of autocovariance function and Wiener spectrum have been applied to describe the recorded image noise in nuclear medicine. They were derived as functions of the expected detected count density and the detector and exposure point spread functions. It was shown that the detector system affects only the noise magnitude, whereas the recorder system affects both noise magnitude and texture. In experimental studies, the autocovariance function and Wiener spectrum of recorded image noise were measured by one-dimensional time-series analysis. Due to the non-linearity of the recording film, the best agreement between the theoretical predictions and the experimental results is found when the detected count density is sufficiently high and the size of the exposure spot is sufficiently large for the density fluctuations in the recorded noise image to be relatively low.

Mesh:

Year:  1981        PMID: 7291309     DOI: 10.1088/0031-9155/26/5/008

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  1 in total

1.  Properties of noise in positron emission tomography images reconstructed with filtered-backprojection and row-action maximum likelihood algorithm.

Authors:  A Teymurazyan; T Riauka; H-S Jans; D Robinson
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

  1 in total

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