---
_id: '18404'
abstract:
- lang: eng
  text: We consider detection of high-energy photons in PET using thick scintillation
    crystals. Parallax effect and multiple Compton interactions in this type of crystals
    significantly reduce the accuracy of conventional detection methods. In order
    to estimate the scintillation point coordinates based on photomultiplier responses,
    we use asymptotically optimal nonlinear techniques, implemented by feed-forward
    neural networks, radial basis functions (RBF) networks, and neuro-fuzzy systems.
    Incorporation of information about angles of incidence of photons, significantly
    improves accuracy of estimation. The proposed estimators are fast enough to perform
    detection, using conventional computers.
article_processing_charge: No
author:
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: M.
  full_name: Bronstein, M.
  last_name: Bronstein
- first_name: M.
  full_name: Zibulevsky, M.
  last_name: Zibulevsky
- first_name: Y.Y.
  full_name: Zeevi, Y.Y.
  last_name: Zeevi
citation:
  ama: 'Bronstein AM, Bronstein M, Zibulevsky M, Zeevi YY. Optimal nonlinear estimation
    of photon coordinates in PET. In: <i>Proceedings IEEE International Symposium
    on Biomedical Imaging</i>. Vol 2002-January. IEEE; 2002:541-544. doi:<a href="https://doi.org/10.1109/isbi.2002.1029314">10.1109/isbi.2002.1029314</a>'
  apa: 'Bronstein, A. M., Bronstein, M., Zibulevsky, M., &#38; Zeevi, Y. Y. (2002).
    Optimal nonlinear estimation of photon coordinates in PET. In <i>Proceedings IEEE
    International Symposium on Biomedical Imaging</i> (Vol. 2002–January, pp. 541–544).
    Washington, DC, United States: IEEE. <a href="https://doi.org/10.1109/isbi.2002.1029314">https://doi.org/10.1109/isbi.2002.1029314</a>'
  chicago: Bronstein, Alex M., M. Bronstein, M. Zibulevsky, and Y.Y. Zeevi. “Optimal
    Nonlinear Estimation of Photon Coordinates in PET.” In <i>Proceedings IEEE International
    Symposium on Biomedical Imaging</i>, 2002–January:541–44. IEEE, 2002. <a href="https://doi.org/10.1109/isbi.2002.1029314">https://doi.org/10.1109/isbi.2002.1029314</a>.
  ieee: A. M. Bronstein, M. Bronstein, M. Zibulevsky, and Y. Y. Zeevi, “Optimal nonlinear
    estimation of photon coordinates in PET,” in <i>Proceedings IEEE International
    Symposium on Biomedical Imaging</i>, Washington, DC, United States, 2002, vol.
    2002–January, pp. 541–544.
  ista: 'Bronstein AM, Bronstein M, Zibulevsky M, Zeevi YY. 2002. Optimal nonlinear
    estimation of photon coordinates in PET. Proceedings IEEE International Symposium
    on Biomedical Imaging. ISBI: International Symposium on Biomedical Imaging vol.
    2002–January, 541–544.'
  mla: Bronstein, Alex M., et al. “Optimal Nonlinear Estimation of Photon Coordinates
    in PET.” <i>Proceedings IEEE International Symposium on Biomedical Imaging</i>,
    vol. 2002–January, IEEE, 2002, pp. 541–44, doi:<a href="https://doi.org/10.1109/isbi.2002.1029314">10.1109/isbi.2002.1029314</a>.
  short: A.M. Bronstein, M. Bronstein, M. Zibulevsky, Y.Y. Zeevi, in:, Proceedings
    IEEE International Symposium on Biomedical Imaging, IEEE, 2002, pp. 541–544.
conference:
  end_date: 2002-07-10
  location: Washington, DC, United States
  name: 'ISBI: International Symposium on Biomedical Imaging'
  start_date: 2002-07-07
date_created: 2024-10-15T11:20:54Z
date_published: 2002-08-01T00:00:00Z
date_updated: 2024-11-12T07:48:20Z
day: '01'
doi: 10.1109/isbi.2002.1029314
extern: '1'
fulldoi: https://doi.org/10.1109/isbi.2002.1029314
language:
- iso: eng
month: '08'
oa_version: None
page: 541-544
publication: Proceedings IEEE International Symposium on Biomedical Imaging
publication_identifier:
  isbn:
  - 078037584X
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optimal nonlinear estimation of photon coordinates in PET
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2002-January
year: '2002'
...