Development of a GEANT4-Based Monte Carlo algorithm for polarized nuclear imaging simulations integrated into GATE

IF 2.7 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Rasool Safari , Yasaman Aboulghasemi , Reza Faghihi , Mohammadreza Parishan , Zahra Rakeb
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引用次数: 0

Abstract

Background

Polarized Nuclear Imaging (PNI) is a novel gamma imaging approach that encodes spatial information by using polarized radioactive nuclei and manipulating them with magnetic fields, gradients, and RF pulses. The resulting anisotropic photon emission yields direct k-space encoding, removing the need for collimators.

Purpose

The work will focus on developing the first, high-performance Monte Carlo-based algorithm for PNI, fully integrated into the GATE framework. Using Monte Carlo simulations, there is an expectation of a strong push in research concerning PNI and a better understanding and use of this new imaging technique.

Methods

An algorithm based on Geant4 was implemented and coupled with GATE in the form of a new type of source. This extension allows users to define a PNI source, configure its parameters, and use GATE’s basic functionalities to perform simulation studies in PNI. The source of GATE-based PNI generates photons in directions according to the PNI-encoded method, which maps spatial information into the spin orientations of polarized radioactive nuclei.

Results

The tool exhibited extremely small average relative errors (∼0.0000018 %) when replicating theoretical angular distributions of gamma emissions from oriented nuclei, and a 3.57 % difference from theory in extracting k-space data using the detector-based PNI method. A complex PNI source also yielded results consistent with experimental data.

Conclusions

This GATE-based PNI simulation toolkit offers an efficient, user-friendly, and accurate method for investigating PNI, paving the way for advanced research and system optimization.
基于geant4的核极化成像模拟蒙特卡罗算法的开发
背景极化核成像(PNI)是一种新型的伽马成像方法,通过使用极化放射性核并通过磁场、梯度和射频脉冲操纵它们来编码空间信息。由此产生的各向异性光子发射产生直接的k空间编码,消除了对准直器的需要。该工作将重点开发第一个基于蒙特卡罗的高性能PNI算法,并将其完全集成到GATE框架中。通过蒙特卡罗模拟,人们期望对PNI的研究有一个强有力的推动,并更好地理解和使用这种新的成像技术。方法实现基于Geant4的san算法,并以新型源的形式与GATE相耦合。此扩展允许用户定义PNI源,配置其参数,并使用GATE的基本功能在PNI中进行模拟研究。基于gate的PNI源根据PNI编码方法产生方向光子,将空间信息映射到极化放射性核的自旋方向上。结果该工具在复制取向核发射的理论角度分布时显示出极小的平均相对误差(~ 0.0000018%),在使用基于探测器的PNI方法提取k空间数据时与理论误差相差3.57%。一个复杂的PNI源也产生了与实验数据一致的结果。结论基于gate的PNI仿真工具包提供了一种高效、用户友好、准确的方法来研究PNI,为进一步的研究和系统优化铺平了道路。
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来源期刊
CiteScore
6.80
自引率
14.70%
发文量
493
审稿时长
78 days
期刊介绍: Physica Medica, European Journal of Medical Physics, publishing with Elsevier from 2007, provides an international forum for research and reviews on the following main topics: Medical Imaging Radiation Therapy Radiation Protection Measuring Systems and Signal Processing Education and training in Medical Physics Professional issues in Medical Physics.
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