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OMEGA 开源发射断层成像软件。

OMEGA-open-source emission tomography software.

机构信息

Department of Applied Physics, University of Eastern Finland, Finland.

出版信息

Phys Med Biol. 2021 Mar 4;66(6):065010. doi: 10.1088/1361-6560/abe65f.

Abstract

In this paper we present OMEGA, an open-source software, for efficient and fast image reconstruction in positron emission tomography (PET). OMEGA uses the scripting language of MATLAB and GNU Octave allowing reconstruction of PET data with a MATLAB or GNU Octave interface. The goal of OMEGA is to allow easy and fast reconstruction of any PET data, and to provide a computationally efficient, easy-access platform for development of new PET algorithms with built-in forward and backward projection operations available to the user as a MATLAB/Octave class. OMEGA also includes direct support for GATE simulated data, facilitating easy evaluation of the new algorithms using Monte Carlo simulated PET data. OMEGA supports parallel computing by utilizing OpenMP for CPU implementations and OpenCL for GPU allowing any hardware to be used. OMEGA includes built-in function for the computation of normalization correction and allows several other corrections to be applied such as attenuation, randoms or scatter. OMEGA includes several different maximum-likelihood and maximum a posteriori (MAP) algorithms with several different priors. The user can also input their own priors to the built-in MAP functions. The image reconstruction in OMEGA can be computed either by using an explicitly computed system matrix or with a matrix-free formalism, where the latter can be accelerated with OpenCL. We provide an overview on the software and present some examples utilizing the different features of the software.

摘要

在本文中,我们介绍了 OMEGA,这是一款用于正电子发射断层扫描(PET)中高效快速图像重建的开源软件。OMEGA 使用 MATLAB 和 GNU Octave 的脚本语言,允许使用 MATLAB 或 GNU Octave 接口重建 PET 数据。OMEGA 的目标是允许轻松快速地重建任何 PET 数据,并为开发新的 PET 算法提供一个计算效率高、易于访问的平台,内置的正向和反向投影操作可供用户作为 MATLAB/Octave 类使用。OMEGA 还直接支持 GATE 模拟数据,方便使用蒙特卡罗模拟 PET 数据对新算法进行评估。OMEGA 通过使用 OpenMP 进行 CPU 实现和 OpenCL 进行 GPU 支持来支持并行计算,允许使用任何硬件。OMEGA 包括用于计算归一化校正的内置函数,并允许应用其他几种校正,如衰减、随机或散射。OMEGA 包括几种不同的最大似然和最大后验(MAP)算法,以及几种不同的先验。用户还可以向内置的 MAP 函数输入自己的先验。OMEGA 中的图像重建可以通过使用显式计算的系统矩阵或无矩阵形式来计算,后者可以通过 OpenCL 加速。我们概述了该软件,并展示了一些利用该软件不同功能的示例。

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