A double photon coincidence detection method for medical gamma-ray imaging

• Autorzy: Uenomachi Mizuki , Shimazoe Kenji , Takahashi Hiroyuki

Identyfikatory

DOI

10.2478/bioal-2022-0080

• Konferencja: 4th Jagiellonian Symposium on Advances in Particle Physics and Medicine, Krakow, 10-15 July 2022
• Języki publikacji: EN

Abstrakty

EN

Cascade nuclides emit two or more gamma rays successively through an intermediate state. The coincidence detection of cascade gamma rays provides several advantages in gamma-ray imaging. In this review article, three applications of the double photon coincidence method are reviewed. Double-photon emission imaging with mechanical collimators and Compton double-photon emission imaging can identify radioactive source positions with their angular-resolving detectors, and reduce the crosstalk between nuclides. In addition, a novel method of coincidence Compton imaging is proposed by taking coincidence detection between a Compton event and a photopeak events. Although this type of coincidence Compton imaging cannot specify the location, it can be useful in multinuclide Compton imaging.

Słowa kluczowe

EN

double photon coincidence detection; double photon emission imaging; gamma-ray imaging; Compton imaging; nuclear medicine

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2022
• Tom: Vol. 18, no. 1
• Strony: 120--126
• Opis fizyczny: Bibliogr. 48 poz., rys.

Twórcy

autor

Uenomachi Mizuki

• Unit of Synergetic Studies for Space, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kitashirakawaoiwakecho, Sakyo-ku, Kyoto, Japan

autor

Shimazoe Kenji

• Department of Bioengineering, The University of Tokyo, Tokyo, Japan

autor

Takahashi Hiroyuki

• Institute of Engineering Innovation, The University of Tokyo, Tokyo, Japan

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Uwagi

Opublikowano przez Sciendo. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).