13 October 2017 Simulation study of a depth-encoding positron emission tomography detector inserting horizontal-striped glass between crystal layers
Kyu Bom Kim, Yong Choi, Jihoon Kang
Author Affiliations +
Abstract
This study introduces a depth-encoding positron emission tomography (PET) detector inserting a horizontal-striped glass between the pixilated scintillation crystal layers. This design allows light spreading so that scintillation photons can travel only through the X direction and allows alteration in the light distribution so that it can generate a unique pattern diagram of the two-dimensional (2-D) flood histogram that identifies depth position as well as X-Y position of γ-ray interaction. A Monte Carlo simulation was conducted for the assessment of the depth of interaction (DOI)-PET detector. The traced light distribution for each event was converted into the 2-D flood histogram. Light loss caused by inserting the horizontal-striped glass between the crystal layers was estimated. Applicable weighting factors were examined for each DOI-PET detector. No considerable degradation of light loss was observed. The flood histogram, without overlapping of each crystal position, can be generated for the DOI detector based on each crystal block by inserting the horizontal-striped glass with a thickness of >1  mm and the modified resistive charge division networks with applicable weighting factors. This study demonstrated that the proposed DOI-PET detector can extract the three-dimensional γ-ray interaction position without considerable performance degradations of the PET detector from the 2-D flood histogram.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2017/$25.00 © 2017 SPIE
Kyu Bom Kim, Yong Choi, and Jihoon Kang "Simulation study of a depth-encoding positron emission tomography detector inserting horizontal-striped glass between crystal layers," Optical Engineering 56(10), 103104 (13 October 2017). https://doi.org/10.1117/1.OE.56.10.103104
Received: 26 May 2017; Accepted: 21 September 2017; Published: 13 October 2017
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Cited by 3 scholarly publications.
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KEYWORDS
Crystals

Sensors

Glasses

Floods

Positron emission tomography

Crystallography

Monte Carlo methods

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