Non-Gaussian noise in x-ray and γ-ray detectors

Liying Chen, Harrison H Barrett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Image statistics are usually modeled as Poisson in γ-ray imaging and as Gaussian in x-ray imaging. In nuclear medicine, event-driven detectors analyze the pulses from every absorbed gamma photon individually; the resulting images rigorously obey Poisson statistics but are approximately Gaussian when the mean number of counts per pixel is large. With integrating detectors, as in digital radiography, each x-ray photon makes a contribution to the image proportional to its pulse height. One pixel senses many photons in long exposures, so the image statistics approach Gaussian by the central limit theorem (CLT). If the exposure time is short enough, however, each pixel will usually respond to no more than one photon, and we can separate individual photons for position estimation. Integrating detectors are therefore event-driven when we use many short-exposure frames rather than one long exposure. In intermediate exposures, the number of photons in one pixel is too small to invoke CLT and apply Gaussian statistics, yet too large to identify individual photons and apply Poisson statistics. In this paper, we analyze the image quality in this intermediate case. Image quality is defined for detection tasks performed by the ideal observer. Because the frames in a data set are independent of each other, the probability density function (PDF) of the whole data set is a product of the frame PDFs. The log-likelihood ratio A of the ideal observer is thus a sum across the frames and has Gaussian statistics even with non-Gaussian images. We compare the ideal observer's performance with the Hotelling observer's performance under this approximation. A data-thresholding technique to improve Hotelling observer's performance is also discussed.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
EditorsM.J. Flynn
Pages366-376
Number of pages11
Volume5745
EditionI
DOIs
StatePublished - 2005
EventMedical Imaging 2005 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 13 2005Feb 15 2005

Other

OtherMedical Imaging 2005 - Physics of Medical Imaging
CountryUnited States
CitySan Diego, CA
Period2/13/052/15/05

Fingerprint

Photons
Detectors
X rays
Statistics
Pixels
Image quality
Nuclear medicine
Imaging techniques
Radiography
Probability density function

Keywords

  • Event-driven detector
  • Frame time
  • Ideal observer
  • Image quality
  • Integrating detector
  • Log-likelihood ratio
  • Non-Gaussian noise
  • Threshold

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Chen, L., & Barrett, H. H. (2005). Non-Gaussian noise in x-ray and γ-ray detectors. In M. J. Flynn (Ed.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE (I ed., Vol. 5745, pp. 366-376). [44] https://doi.org/10.1117/12.589396

Non-Gaussian noise in x-ray and γ-ray detectors. / Chen, Liying; Barrett, Harrison H.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. ed. / M.J. Flynn. Vol. 5745 I. ed. 2005. p. 366-376 44.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, L & Barrett, HH 2005, Non-Gaussian noise in x-ray and γ-ray detectors. in MJ Flynn (ed.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. I edn, vol. 5745, 44, pp. 366-376, Medical Imaging 2005 - Physics of Medical Imaging, San Diego, CA, United States, 2/13/05. https://doi.org/10.1117/12.589396
Chen L, Barrett HH. Non-Gaussian noise in x-ray and γ-ray detectors. In Flynn MJ, editor, Progress in Biomedical Optics and Imaging - Proceedings of SPIE. I ed. Vol. 5745. 2005. p. 366-376. 44 https://doi.org/10.1117/12.589396
Chen, Liying ; Barrett, Harrison H. / Non-Gaussian noise in x-ray and γ-ray detectors. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. editor / M.J. Flynn. Vol. 5745 I. ed. 2005. pp. 366-376
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