A new High-Resolution Imaging System (HiRIS2) detector for preclinical SPECT imaging
Autor: | A. Soluri, R. Massari, Annunziata D'Elia |
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Rok vydání: | 2019 |
Předmět: |
Physics
Nuclear and High Energy Physics Physics::Instrumentation and Detectors business.industry Physics::Medical Physics Monte Carlo method Detector Resolution (electron density) Collimator Scintillator Lyso 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences 0302 clinical medicine Optics law Spect imaging business Instrumentation Sensitivity (electronics) 030217 neurology & neurosurgery |
Zdroj: | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 917:25-30 |
ISSN: | 0168-9002 |
DOI: | 10.1016/j.nima.2018.11.095 |
Popis: | The aim of the work is to describe a new high-performance scintigraphic detector, derived from our previous work based on a Position Sensitive Photomultiplier Tube (PSPMT) with 256 output anodes. This detector is suitable for direct integration into multi-modality imaging systems. Indeed, the detector has been developed in order to be integrated into a pre-clinical system. The detector is based on an H9500 Hamamatsu PSPMT coupled to an LYSO pixelated scintillator and a low-energy tungsten collimator with parallel square holes. In order to limit the overall size of the device, a dedicated compact electronics has been developed. The device design was performed using Monte Carlo transport calculations to aid the development. Our results show a detector performance suitable for application on small animals. The intrinsic spatial resolution was experimentally determined to be about 1.6 mm. The measured energy resolution was ∼ 16% at 140 keV and the maximum recorded sensitivity was ∼ 76 cps/MBq. In addition, the results agree quite well with those of Monte Carlo simulations. We have successfully improved the performance of our previous detector design in order to integrate the new device into a complex system focused on pre-clinical imaging. |
Databáze: | OpenAIRE |
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