PET KinetiX—A Software Solution for PET Parametric Imaging at the Whole Field of View Level

IF 2.9 2区 工程技术 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Digital Imaging Pub Date : 2024-01-10 DOI:10.1007/s10278-023-00965-z
Florent L. Besson, Sylvain Faure
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Abstract

Kinetic modeling represents the ultimate foundations of PET quantitative imaging, a unique opportunity to better characterize the diseases or prevent the reduction of drugs development. Primarily designed for research, parametric imaging based on PET kinetic modeling may become a reality in future clinical practice, enhanced by the technical abilities of the latest generation of commercially available PET systems. In the era of precision medicine, such paradigm shift should be promoted, regardless of the PET system. In order to anticipate and stimulate this emerging clinical paradigm shift, we developed a constructor-independent software package, called PET KinetiX, allowing a faster and easier computation of parametric images from any 4D PET DICOM series, at the whole field of view level. The PET KinetiX package is currently a plug-in for Osirix DICOM viewer. The package provides a suite of five PET kinetic models: Patlak, Logan, 1-tissue compartment model, 2-tissue compartment model, and first pass blood flow. After uploading the 4D-PET DICOM series into Osirix, the image processing requires very few steps: the choice of the kinetic model and the definition of an input function. After a 2-min process, the PET parametric and error maps of the chosen model are automatically estimated voxel-wise and written in DICOM format. The software benefits from the graphical user interface of Osirix, making it user-friendly. Compared to PMOD-PKIN (version 4.4) on twelve 18F-FDG PET dynamic datasets, PET KinetiX provided an absolute bias of 0.1% (0.05–0.25) and 5.8% (3.3–12.3) for KiPatlak and Ki2TCM, respectively. Several clinical research illustrative cases acquired on different hybrid PET systems (standard or extended axial fields of view, PET/CT, and PET/MRI), with different acquisition schemes (single-bed single-pass or multi-bed multipass), are also provided. PET KinetiX is a very fast and efficient independent research software that helps molecular imaging users easily and quickly produce 3D PET parametric images from any reconstructed 4D-PET data acquired on standard or large PET systems.

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PET KinetiX--全视场 PET 参数成像软件解决方案
动力学建模代表了 PET 定量成像的最终基础,是更好地描述疾病特征或防止药物开发减少的独特机会。基于 PET 动力学建模的参数成像主要是为研究设计的,在最新一代商用 PET 系统技术能力的提升下,它可能会在未来的临床实践中成为现实。在精准医疗时代,无论使用哪种 PET 系统,都应促进这种模式的转变。为了预测和促进这一新兴临床范式的转变,我们开发了一个独立于构造器的软件包,名为 PET KinetiX,可以更快、更方便地计算来自任何 4D PET DICOM 系列的全视场参数图像。PET KinetiX 软件包目前是 Osirix DICOM 查看器的插件。该软件包提供一套五种 PET 动力学模型:Patlak、Logan、1-组织间隙模型、2-组织间隙模型和首过血流。将 4D-PET DICOM 系列上传到 Osirix 后,图像处理只需几个步骤:选择动力学模型和定义输入函数。经过 2 分钟的处理后,所选模型的 PET 参数图和误差图将自动按体素估算,并以 DICOM 格式写入。该软件得益于 Osirix 的图形用户界面,用户使用起来非常方便。在 12 个 18F-FDG PET 动态数据集上,PET KinetiX 与 PMOD-PKIN(4.4 版)相比,KiPatlak 和 Ki2TCM 的绝对偏差分别为 0.1%(0.05-0.25)和 5.8%(3.3-12.3)。此外,还提供了在不同的混合 PET 系统(标准或扩展轴向视场、PET/CT 和 PET/MRI)、不同的采集方案(单床单通或多床多通)上采集的几个临床研究示例。PET KinetiX 是一款非常快速高效的独立研究软件,可帮助分子成像用户从标准或大型 PET 系统获取的任何重建 4D-PET 数据中轻松快速地生成三维 PET 参数图像。
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来源期刊
Journal of Digital Imaging
Journal of Digital Imaging 医学-核医学
CiteScore
7.50
自引率
6.80%
发文量
192
审稿时长
6-12 weeks
期刊介绍: The Journal of Digital Imaging (JDI) is the official peer-reviewed journal of the Society for Imaging Informatics in Medicine (SIIM). JDI’s goal is to enhance the exchange of knowledge encompassed by the general topic of Imaging Informatics in Medicine such as research and practice in clinical, engineering, and information technologies and techniques in all medical imaging environments. JDI topics are of interest to researchers, developers, educators, physicians, and imaging informatics professionals. Suggested Topics PACS and component systems; imaging informatics for the enterprise; image-enabled electronic medical records; RIS and HIS; digital image acquisition; image processing; image data compression; 3D, visualization, and multimedia; speech recognition; computer-aided diagnosis; facilities design; imaging vocabularies and ontologies; Transforming the Radiological Interpretation Process (TRIP™); DICOM and other standards; workflow and process modeling and simulation; quality assurance; archive integrity and security; teleradiology; digital mammography; and radiological informatics education.
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