Towards efficient Monte Carlo N-Particle simulation of a positron emission tomography (PET) via source volume definition.

Autor: Waeleh N; Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Electronic address: nazreen@utem.edu.my., Saripan MI; Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Musarudin M; School of Health Sciences, Health Campus, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia., Ahmad Saad FF; Centre for Diagnostic Nuclear Imaging, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Mashohor S; Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Hashim S; Department of Physics, Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia.
Jazyk: angličtina
Zdroj: Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine [Appl Radiat Isot] 2022 Nov; Vol. 189, pp. 110418. Date of Electronic Publication: 2022 Aug 23.
DOI: 10.1016/j.apradiso.2022.110418
Abstrakt: Monte Carlo N-Particle (MCNP) simulation has been extensively proven in nuclear medicine imaging systems, most notably in designing and optimizing new medical imaging tools. It enables more complicated geometries and the simulation of particles passing through and interacting with materials. However, a relatively long simulation time is a drawback of Monte Carlo simulation, mainly when complex geometry exists. The current study presents an alternative variance reduction technique for a modeled positron emission tomography (PET) camera by reducing the height of the source volume definition while maintaining the geometry of the simulated model. The National Electrical Manufacturers Association (NEMA) of the International Electrotechnical Commission (IEC) PET's phantom was used with a 1 cm diameter and 7 cm height of line source placed in the middle. The first geometry was fully filled the line source with 0.50 mCi radioactivity. In contrast, the second geometry decreased the source definition to 2.4 cm in height, covering 1 cm above and below the sub-block detector level. The source volume definition approach led to a 71% reduction in the total photons to be simulated. Results showed that the proposed variance reduction strategy could produce spatial resolution as precise as fully filled geometry and sped up the simulation time by approximately 65%. Hence, this strategy can be utilized for further PET optimizing simulation studies.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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