Artificial intelligence in single photon emission computed tomography (SPECT) imaging: a narrative review.
Artificial intelligence in single photon emission computed tomography (SPECT) imaging: a narrative review.
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单光子发射计算机断层扫描 (SPECT) 成像中的人工智能：叙述性评论。
DOI：
10.21037/atm-20-5988
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发表时间：
2021-05
影响因子：
--
通讯作者：
Du Y
中科院分区：
文献类型：
--
作者：
Shao W;Rowe SP;Du Y
人工智能（AI）已广泛应用于医学成像。人工智能用于发射计算机断层扫描，特别是单光子发射计算机断层扫描（SPECT）出现在近30年前，但近年来由于人工智能技术的发展而加速。本文就人工智能技术在SPECT成像中的应用进展作一综述。AI的应用分散在疾病预测和诊断、重建后图像去噪、衰减图生成和图像重建中。这些应用程序是相关的许多疾病类别，如神经系统疾病，肾功能衰竭，癌症，心脏病等，这篇综述总结了这些应用程序，使SPECT研究人员可以有一个参考概述AI在当前SPECT研究中的作用。对于每个应用程序，我们都遵循时间轴来展示人工智能使用的演变，并提供有关人工智能如何与基础物理知识以及传统非学习技术相结合的见解。最终，人工智能应用对现代SPECT技术的进步至关重要，因为它们为传统SPECT成像方法的许多缺陷提供了补偿，并取得了无与伦比的成功。尽管如此，人工智能在医学领域也有自己的挑战和局限性，包括SPECT成像。这些基本问题进行了讨论，并提出了未来可能的方向和对策。
Artificial intelligence (AI) has been widely applied to medical imaging. The use of AI for emission computed tomography, particularly single-photon emission computed tomography (SPECT) emerged nearly 30 years ago but has been accelerated in recent years due to the development of AI technology. In this review, we will describe and discuss the progress of AI technology in SPECT imaging. The applications of AI are dispersed in disease prediction and diagnosis, post-reconstruction image denoising, attenuation map generation, and image reconstruction. These applications are relevant to many disease categories such as the neurological disorders, kidney failure, cancer, heart disease, etc. This review summarizes these applications so that SPECT researchers can have a reference overview of the role of AI in current SPECT studies. For each application, we followed the timeline to present the evolution of AI’s usage and offered insights on how AI was combined with the knowledge of underlying physics as well as traditional non-learning techniques. Ultimately, AI applications are critical to the progress of modern SPECT technology because they provide compensations for many deficiencies in conventional SPECT imaging methods and demonstrate unparalleled success. Nonetheless, AI also has its own challenges and limitations in the medical field, including SPECT imaging. These fundamental questions are discussed, and possible future directions and countermeasures are suggested.
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DOI：
10.1016/j.nicl.2017.09.010
发表时间：
2017
期刊：
NeuroImage. Clinical
影响因子：
--
作者：
Choi H;Ha S;Im HJ;Paek SH;Lee DS
通讯作者：
Lee DS
影响因子：
9.3
作者：
Garcia, Ernest V.;Faber, Tracy L.;Esteves, Fabio P.
通讯作者：
Esteves, Fabio P.
DOI：
10.1080/00207160.2012.742189
发表时间：
2013-08-01
影响因子：
1.8
作者：
Ciecholewski, Marcin
通讯作者：
Ciecholewski, Marcin
影响因子：
2.5
作者：
Fukuyama, H;Ouchi, Y;Shibasaki, H
通讯作者：
Shibasaki, H
影响因子：
15
作者：
Bhushan KR;Misra P;Liu F;Mathur S;Lenkinski RE;Frangioni JV
通讯作者：
Frangioni JV