Evidence map›Paper›PMID 34287943›Full record

ArticleMedical physics2021

Optimization of scintillator-reflector optical interfaces for the LUT Davis model.

Carlotta Trigila, Emilie Roncali

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Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Carlotta TrigilaDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Emilie RoncaliDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.

Funding

Transgenic Mouse and Biobank CoreP01CA095616 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2003 to 2012
$20.3M
New optical Monte Carlo simulation tools for nuclear medicineR01EB027130 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI RONCALI, EMILIE · 2019 to 2023
$1.5M
NCI NIH HHS P01 CA095616NIBIB NIH HHS R01 EB027130NIH HHS R01EB027130
6 · The paper itself

Abstract

purposeDesigning and optimizing scintillator-based gamma detector using Monte Carlo simulation is of great importance in nuclear medicine and high energy physics. In scintillation detectors, understanding the light transport in the scintillator and the light collection by the photodetector plays a crucial role in achieving high performance. Thus, accurately modeling them is critical.

methodsIn previous works, we developed a model to compute crystal reflectance from the crystal 3D surface measurement and store it in look-up tables to be used in the Monte Carlo simulation software GATE. The relative light output comparison showed excellent agreement between simulations and experiments for both polished and rough surfaces in several configurations, that is, without and with reflector. However, when comparing them at the irradiation depth closest to the photodetector face, rough crystals with a reflector overestimated the predicted light output. Investigating the cause of this overestimation, we optimized the LUT algorithm to improve the reflectance computation accuracy, especially for rough surfaces. However, optical Monte Carlo simulations carried out with these newly generated LUTs still overestimate the light output. Based on previous observations, one probable cause is the erroneous assumption of perfect couplings between the reflector and crystal and between the crystal and photodetector, which likely results in an important overestimation of the light output compared to experimental values. In practice, several factors could degrade it. Here, we investigated possible suboptimal optical experimental configurations that could lead to a degraded light collection when using Teflon or ESR reflectors coupled to the crystal with air or grease. We generated look-up tables with a mixture of air and grease and showed the effect of three possible sources of light loss: the presence of a small gap between the crystal and the reflector edges close to the photodetector face, the infiltration of grease in the crystal-reflector coupling, and the presence of inhomogeneities in the photodetector-crystal interface.

resultsThe strongest effect is linked to the presence of a small gap of grease between the edges of the reflector material and the crystal (light loss of 10%-12% for 0.2 mm gap). The optical grease infiltrating the crystal-reflector air coupling decreases the light output, depending on the infiltration's extent and the amount of grease infiltrated. Five percent of air in the crystal-photodetector coupling can cause a light output decrease of 2% to 4%. The individual and combined effect of these advanced models can explain the discrepancy of the relative light output obtained with ESR in simulations and experiments. With Teflon, the study indicates that the light output loss strongly depends on the reflectance deterioration caused by grease absorption.

conclusionsOur results indicate that when studying scintillation detector performance with different finishes, performing simulations in ideal coupling conditions can lead to light output overestimation. To perform an accurate light output comparison and ultimately have a reliable detector performance estimation, all potential sources of practical limitations must be carefully considered. To broadly enable high-fidelity modeling, we developed an interface for users to compute their own LUTs, using their surface, scintillator, and reflector characteristics.

Indexed as

AlgorithmsSoftwareComputer SimulationGamma RaysMonte Carlo MethodScintillation Countingdiagnostic imagingGATEGEANT4light transport modelMonte Carlo optical simulationscintillation detectorssurface finish

Identifiers

PMID34287943
PMCPMC8455426

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.