<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T20:09:45Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/11210" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/11210</identifier><datestamp>2026-01-27T02:18:04Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Modeling of high-energy contamination in SPECT Imaging using Monte Carlo Simulation</dc:title>
   <dc:creator>Cot Sanz, Alberto</dc:creator>
   <dc:creator>Jané, E</dc:creator>
   <dc:creator>Sempau Roma, Josep</dc:creator>
   <dc:creator>Falcón, C</dc:creator>
   <dc:creator>Bullich, S</dc:creator>
   <dc:creator>Pavía, J</dc:creator>
   <dc:creator>Calviño Tavares, Francisco</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. Institut de Tècniques Energètiques</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. GREENER - Grup de recerca d'estudis energètics i de les radiacions</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Energies::Tecnologia energètica</dc:subject>
   <dc:subject>Monte Carlo method</dc:subject>
   <dc:subject>Monte Carlo, Mètode de</dc:subject>
   <dc:description>I is a commonly used radioisotope employed&#xd;
in neurotransmitter SPECT studies. In addition to an intense&#xd;
line at 159 keV, the decay scheme of this radioisotope includes&#xd;
a low yield ( 3%) of higher energy photons which make a&#xd;
non-negligible contribution to the final image when low-energy&#xd;
high-resolution (LEHR) collimators are used. This contribution&#xd;
of high-energy photons may reach 28% of the total counts in&#xd;
the projections. The aim of this work is to model each energy&#xd;
component of the high-energy Point Spread Function (hPSF)&#xd;
for fan-beam LEHR collimators in order to develop fast Monte&#xd;
Carlo (MC) simulations of high-energy ray contamination. The&#xd;
modeling of hPSF was based on the results of simulating photons&#xd;
through the collimator-detector system using the MC code PENELOPE.&#xd;
Since low-energy PSFs models for fan-beam collimators&#xd;
tend to a Gaussian distribution, we use the same function for&#xd;
the hPSF modeling for high-energy photons. The parameters of&#xd;
these Gaussian functions ( ( )) were obtained by minimizing&#xd;
the root mean square error (RMS) using the sensitivity of the&#xd;
simulated hPSFs as a constraint. The hPSFs were parameterized&#xd;
for a range of energies between 350 keV and 538 keV. The RMS&#xd;
attained after fitting of ( ) to the simulated hPSFs was always&#xd;
smaller than 2% of the mean sensitivity per pixel of the image.&#xd;
A strong dependence of the sensitivity on the type and thickness&#xd;
of the backscatter material behind the crystal was found. Our&#xd;
results indicate that Gaussian distributions approximate the hPSF&#xd;
responses for fan-beam collimators. This model will be an important&#xd;
tool to accelerate MC simulations of radiolabeled compounds&#xd;
which emit medium- or high-energy rays.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>2006-02</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>Cot, A. [et al.]. Modeling of high-energy contamination in SPECT Imaging using Monte Carlo Simulation. "IEEE transactions on nuclear science", Febrer 2006, vol. 53, núm. 1, p. 198-203.</dc:identifier>
   <dc:identifier>0018-9499</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/11210</dc:identifier>
   <dc:identifier>10.1109/TNS.2006.870174</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Restricted access - publisher's policy</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>6 p.</dc:format>
   <dc:format>application/pdf</dc:format>
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