Maximum-Likelihood--Based Position Decoding of Laser Processed Converging Pixel CsI: Tl Detectors for High-Resolution SPECT
Xi Zhang, Arkadiusz Sitek, Lisa Blackberg, Matthew Kupinski, Lars Furenlid, Hamid Sabet

TL;DR
This paper presents a novel converging-pixel CsI: Tl scintillation detector design for high-resolution SPECT, utilizing maximum-likelihood decoding and a laser fabrication technique to achieve precise gamma-ray localization.
Contribution
It introduces a converging-pixel architecture combined with ML decoding for improved gamma-ray localization in CsI: Tl detectors, extending previous laser fabrication methods.
Findings
Energy resolution of 11.79% achieved
Position localization accuracy of 1.00 mm
Validated with a collimated pencil beam experiment
Abstract
This study demonstrates the feasibility of a novel fabrication technique for high spatial resolution CsI: Tl scintillation detectors tailored for single photon emission computed tomography (SPECT) systems. Building upon our previously developed laser induced optical barrier (LIOB) method, which achieved high spatial resolution, excellent sensitivity, and 100% fabrication yield in CsI: Tl detectors, we extend this approach to a converging-pixel architecture. A CsI: Tl crystal array with converging pixels was designed and fabricated, featuring entrance-face pixels of 1.6x1.6 mm2 and photodetector side pixels of 2x2 mm2. To localize gamma-ray interactions, both the center of gravity (CoG) algorithm and a maximum-likelihood (ML) based decoding method were implemented. A custom built four axis motion platform was developed to deliver a finely collimated pencil beam at precisely controlled…
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Taxonomy
TopicsRadiation Detection and Scintillator Technologies · Advanced Semiconductor Detectors and Materials · Medical Imaging Techniques and Applications
