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A Survey of PET Image Segmentation: Applications in Oncology, Cardiology and Neurology

机译：PET图像分割研究：在肿瘤学，心脏病学和神经病学中的应用

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摘要

Positron Emission Tomography, which is a functional imaging technique, measures in three-dimension the bio-distribution of a radiotracer in a specific organ or tissue. Thanks to tracer characteristics, the PET imaging was successfully experimented into several applications in oncology, cardiology and neurology for clinical and research trials. The segmentation of PET image is a mandatory step in all PET applications since it allows to relay imaged tracer uptake within a region of interest to its underlying biology. However, manual segmentation was limited by its time consuming, labor intensive and its high intra-and inter-operator variability. Therefore, several automated PET image segmentation methods were developed. In this paper, we presented the most relevant methods in the literature including thresholding-based methods of static PET images, deformable models for cardiac PET studies and mono and multi-modal segmentation methods for brain PET images.
机译：正电子发射断层扫描是一种功能成像技术，可从三维角度测量放射性示踪剂在特定器官或组织中的生物分布。由于具有示踪剂的特性，PET成像已成功地在肿瘤学，心脏病学和神经病学的多种应用中进行了临床和研究试验。在所有PET应用中，PET图像的分割都是必不可少的步骤，因为它允许将感兴趣的区域中成像的示踪剂摄取传递给其基础生物学。但是，手动分割受到其耗时，劳动强度大以及操作者内部和操作者之间的高可变性的限制。因此，开发了几种自动PET图像分割方法。在本文中，我们介绍了文献中最相关的方法，包括基于阈值的静态PET图像方法，用于心脏PET研究的可变形模型以及用于脑部PET图像的单峰和多峰分割方法。

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