在临床环境中讲授同步正电子发射断层扫描和磁共振图像采集和量化的实践课程

A. Torrado-Carvajal, L. García-Cañamaque, N. Malpica
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摘要

正电子发射断层扫描/磁共振(PET/MR)成像是一种新颖的成像模式,在一次采集中结合了两种强大成像技术的功能。这种独特的整合方式可在一次成像过程中同时获取代谢和结构数据。从这个意义上说,PET/MR 为医学成像提供了一种全面而创新的方法,但同时也具有其固有的物理和工程复杂性,涉及高性能探测器的复杂同步、电磁屏蔽和复杂的校正算法等。在第六届 INFIERI 暑期班(西班牙马德里)期间进行的这次实践课程中,我们向来自不同物理学和工程学背景的学生介绍了在真实临床中同步 PET/MR 图像采集和量化。我们首先介绍了 PET/MR 图像采集的基本方面,包括 PET/MR 物理和电子学的主要理论特征,参观了马德里 HM Puerta del Sur 大学医院(马德里莫斯托莱斯 HM Hospitales)的 PET/MR 设备,并讨论了 PET/MR 的主要临床和研究应用。随后,我们进行了关于 PET/MR 图像量化的实践课程,让学生了解并解决有关图像重建、多模态数据可视化、不均匀性校正、图像配准以及利用 3D Slicer 的简易性和实用性进行衰减校正的示例。
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Teaching a hands-on session on simultaneous Positron Emission Tomography and Magnetic Resonance image acquisition and quantification in a clinical setting
Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging, is a novel imaging modality that combines the capabilities of two powerful imaging techniques in a single acquisition. This unique integration allows for simultaneous acquisition of both metabolic and structural data within a single imaging session. In this sense, PET/MR offers a comprehensive and innovative approach to medical imaging, but accompanied by its intrinsic physics and engineering complexity, involving intricate synchronization of high-performance detectors, electromagnetic shielding, and sophisticated correction algorithms, among others. In this hands-on session performed during the 6th INFIERI summer school (Madrid, Spain), we described an introduction to simultaneous PET/MR image acquisition and quantification in a real clinical to students from diverse backgrounds in physics and engineering. We first presented the fundamental aspects of PET/MR image acquisition, including the main theoretical characteristics of PET/MR physics and electronics, visiting the PET/MR facilities at Hospital Universitario HM Puerta del Sur (HM Hospitales, Móstoles, Madrid), and discussing the main PET/MR clinical and research applications. Then, we followed with a practical session on PET/MR image quantification, preparing the students to understand and solve examples on image reconstruction, multimodal data visualization, inhomogeneity correction, image registration, and attenuation correction exploiting the simplicity and usefulness of 3D Slicer.
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