Optimization of PET system design for lesion detection

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Traditionally, the figures of merit used in designing a PET scanner are spatial resolution, noise equivalent count rate, noise equivalent sensitivity, etc. These measures, however, do not directly reflect the lesion detectability using the PET scanner. Here we propose to optimize PET scanner design directly for lesion detection. The signal-to-noise ratio (SNR) of lesion detection can be easily computed using the theoretical expressions that we have previously derived. Because no time consuming Monte Carlo simulation is needed, the theoretical expressions allow evaluation of a large range of parameters. The PET system parameters can then be chosen to achieve the maximum ... continued below

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5 pages

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Qi, Jinyi October 13, 2000.

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Traditionally, the figures of merit used in designing a PET scanner are spatial resolution, noise equivalent count rate, noise equivalent sensitivity, etc. These measures, however, do not directly reflect the lesion detectability using the PET scanner. Here we propose to optimize PET scanner design directly for lesion detection. The signal-to-noise ratio (SNR) of lesion detection can be easily computed using the theoretical expressions that we have previously derived. Because no time consuming Monte Carlo simulation is needed, the theoretical expressions allow evaluation of a large range of parameters. The PET system parameters can then be chosen to achieve the maximum SNR for lesion detection. The simulation study shown in this paper was focused a single ring PET scanner without depth of interaction measurement. Randoms and scatters were also ignored.

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5 pages

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INIS; OSTI as DE00783472

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  • IEEE Nuclear Science Symposium and Medical Imaging, Lyon (FR), 10/15/2000--10/20/2000

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  • Report No.: LBNL--46969
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 783472
  • Archival Resource Key: ark:/67531/metadc718723

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Office of Scientific & Technical Information Technical Reports

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  • October 13, 2000

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  • Sept. 29, 2015, 5:31 a.m.

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  • Oct. 4, 2017, 1:26 p.m.

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Qi, Jinyi. Optimization of PET system design for lesion detection, article, October 13, 2000; California. (digital.library.unt.edu/ark:/67531/metadc718723/: accessed October 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.