DOI: 10.57760/sciencedb.j00186.00123
title: Design and performance evaluation of a large field of view dual-particle time-encoded imager based on depth of interaction detector
title: Design and performance evaluation of a large field of view dual-particle time-encoded imager based on depth of interaction detector

description: There are several figures and the related data about the depth of interaction detector calibration, the simulated response function and the reconstructed or filtered images in different measurement situaitions. A collimated Cs-137 gamma-ray source was used to incident at different positions of the detector for energy (with different incident position). In addition, the Cs-137, Co-60 and Na-22 gamma ray sources was used to incident at center of the detector for energy (with different energies) calibration. The normalized counts of DOI energy calibration for different incident position and energies were shown in 'energy calibration for different positions' and 'energy calibration for different sources'.The row header is channel and the column header is different incedent position and sources respectively. For easy understanding, several related figures were uploaded. The position response function of this imager was simulated through MCNP 5. In this simulation, the detector was divided into 15 basic units (1 cm) allowing for a detailed analysis of its response characteristics. The response of each unit was recorded by Tally F4. The neutron (Cf-252) and gamma-ray (Cs-137) sources were situated at a distance of three meters from the detector. As per geometric calculations, the vertical and horizontal field of view for this time-encoded imager were established respectively as -60°~60° and 0°~360°. The smallest angular pixel was set to 1°.  The simulated response functions were uploaded named 'response of 15 basic units for gamma' and 'response of 15 basic units for neutron'. The row header is number of pixels and the column header is the number of detector units. The MLEM method is used to estimate the underlying image from acquired data by maximizing the likelihood of the observed data given the image information. And a multi-detector denoising method was proposed for image denoising. The image data of the reconstructed or filtered images in different measurement situaitions was uploaded named ' image data for ...' . Several images was not shown in the figures. The row header is vertical angle (degree) and the column header is the horizontal angle (degree).
description: There are several figures and the related data about the depth of interaction detector calibration, the simulated response function and the reconstructed or filtered images in different measurement situaitions. A collimated Cs-137 gamma-ray source was used to incident at different positions of the detector for energy (with different incident position). In addition, the Cs-137, Co-60 and Na-22 gamma ray sources was used to incident at center of the detector for energy (with different energies) calibration. The normalized counts of DOI energy calibration for different incident position and energies were shown in 'energy calibration for different positions' and 'energy calibration for different sources'.The row header is channel and the column header is different incedent position and sources respectively. For easy understanding, several related figures were uploaded. The position response function of this imager was simulated through MCNP 5. In this simulation, the detector was divided into 15 basic units (1 cm) allowing for a detailed analysis of its response characteristics. The response of each unit was recorded by Tally F4. The neutron (Cf-252) and gamma-ray (Cs-137) sources were situated at a distance of three meters from the detector. As per geometric calculations, the vertical and horizontal field of view for this time-encoded imager were established respectively as -60°~60° and 0°~360°. The smallest angular pixel was set to 1°.  The simulated response functions were uploaded named 'response of 15 basic units for gamma' and 'response of 15 basic units for neutron'. The row header is number of pixels and the column header is the number of detector units. The MLEM method is used to estimate the underlying image from acquired data by maximizing the likelihood of the observed data given the image information. And a multi-detector denoising method was proposed for image denoising. The image data of the reconstructed or filtered images in different measurement situaitions was uploaded named ' image data for ...' . Several images was not shown in the figures. The row header is vertical angle (degree) and the column header is the horizontal angle (degree).