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Titolo:
Correction for the random coincidences in dual-head gamma camera imaging
Autore:
Brasse, D; Comtat, C; Trebossen, R; Tararine, M; Nguyen, QT; Bendriem, B;
Indirizzi:
Serv Hosp Frederic Joliot, Dept Med Res, F-91401 Orsay, France Serv Hosp Frederic Joliot Orsay France F-91401 es, F-91401 Orsay, France Sopha Med Vis, Buc, France Sopha Med Vis Buc FranceSopha Med Vis, Buc, France
Titolo Testata:
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
fascicolo: 3, volume: 48, anno: 2001,
parte:, 2
pagine: 864 - 871
SICI:
0018-9499(200106)48:3<864:CFTRCI>2.0.ZU;2-Y
Fonte:
ISI
Lingua:
ENG
Soggetto:
FDG PET; 3D PET; BRAIN; RECONSTRUCTION; SENSITIVITY; TOMOGRAPHY; SCANNER;
Keywords:
coincidence imaging; dual-head gamma camera; random correction;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Brasse, D Univ Pittsburgh, Dept Radiol, Pittsburgh, PA 15212 USA Univ Pittsburgh Pittsburgh PA USA 15212 ittsburgh, PA 15212 USA
Citazione:
D. Brasse et al., "Correction for the random coincidences in dual-head gamma camera imaging", IEEE NUCL S, 48(3), 2001, pp. 864-871

Abstract

Planar large field-of-view gamma camera detectors in coincidence imaging are characterized by a high singles count rate, leading to a high acquired random coincidence rate. We propose and compare two methods to correct the random coincidences that account for the variation of the random count rate during the detector rotation. One method consists of using a uniform distribution for the random coincidences (UD) and the other is based on the single photon distribution (SPD) on each detector. Unlike the UD method, the SPDmethod accounts for the variation of the spatial distribution of the random coincidences. The UD method leads to an underestimation of the random coincidences inside the object and an overestimation outside the object. The distribution of the random coincidences is better estimated with the SPD method, which allows one to recover contrast values closer to those expected without randoms background.

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Documento generato il 07/07/20 alle ore 19:23:55