Characterization of highly multiplexed monolithic PET / gamma camera detector modules.
Characterization of highly multiplexed monolithic PET / gamma camera detector modules.
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DOI:
10.1088/1361-6560/aab380
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发表时间:
2018-03-29
影响因子:
3.5
通讯作者:
Miyaoka R
中科院分区:
文献类型:
--
作者:
Pierce LA;Pedemonte S;DeWitt D;MacDonald L;Hunter WCJ;Van Leemput K;Miyaoka R
PET detectors use signal multiplexing to reduce the total number of electronics channels needed to cover a given area. Using measured thin-beam calibration data, we tested a principal component based multiplexing scheme for scintillation detectors. The highly-multiplexed detector signal is no longer amenable to standard calibration methodologies. In this study we report results of a prototype multiplexing circuit, and present a new method for calibrating the detector module with multiplexed data. A 50 × 5 × 10 mm3 LYSO scintillation crystal was affixed to a position-sensitive photomultiplier tube with 8 × 8 position-outputs and one channel that is the sum of the other 64. The 65-channel signal was multiplexed in a resistive circuit, with 65:5 or 65:7 multiplexing. A 0.9 mm beam of 511 keV photons was scanned across the face of the crystal in a 1.52 mm grid pattern in order to characterize the detector response. New methods are developed to reject scattered events and perform depth-estimation to characterize the detector response of the calibration data. Photon interaction position estimation of the testing data was performed using a Gaussian Maximum Likelihood estimator and the resolution and scatter-rejection capabilities of the detector were analyzed. We found that using a 7-channel multiplexing scheme (65:7 compression ratio) with 1.67 mm depth bins had the best performance with a beam-contour of 1.2 mm FWHM (from the 0.9 mm beam) near the center of the crystal and 1.9 mm FWHM near the edge of the crystal. The positioned events followed the expected Beer-Lambert depth distribution. The proposed calibration and positioning method exhibited a scattered photon rejection rate that was a 55% improvement over the summed signal energy-windowing method.
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影响因子:
3.5
作者:
Ling, T.;Lewellen, T. K.;Miyaoka, R. S.
通讯作者:
Miyaoka, R. S.
影响因子:
1.8
作者:
Ling, Tao;Lee, Kisung;Miyaoka, Robert S.
通讯作者:
Miyaoka, Robert S.
DOI:
10.1016/j.nima.2016.09.029
发表时间:
2016-12-01
影响因子:
1.4
作者:
Jorge, L. S.;Bonifacio, D. A. B.;Miyaoka, R. S.
通讯作者:
Miyaoka, R. S.
影响因子:
3.5
作者:
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通讯作者:
Vandenberghe, Stefaan
影响因子:
3.5
作者:
Borghi, Giacomo;Tabacchini, Valerio;Schaart, Dennis R.
通讯作者:
Schaart, Dennis R.