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Positron Emission Tomography

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...

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Updated: Sep 11, 2025

MRI and PET in Mouse Models of Myocardial Infarction

MRI and PET in Mouse Models of Myocardial Infarction

Published on: December 19, 2013

血循环:以血生物标志物指导的MRI对物进行交叉模式翻译,使用条件循环.

Yanxi Chen¹, Yi Su², Celine Dumitrascu³

¹School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ.

Proceedings. IEEE International Symposium on Biomedical Imaging

|August 18, 2025

概括

基于血液的生物标志物显著改善了来自MRI扫描的PET图像的合成. 这种新的方法通过将生物标志物整合到生成模型中以提高图像质量来提高阿尔茨海默病的检测.

关键词:

基于血液的生物标志物跨模式翻译跨模式翻译循环GANAN是一个循环.这就是为什么MRI是MRI.在这里,PET是PET.

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科学领域:

医疗成像医学成像
人工智能的人工智能
生物标志物发现发现

背景情况:

由于不同的机制,MRI和PET成像之间的交叉模式翻译是困难的.
基于血液的生物标志物 (BBBM) 在阿尔茨海默病 (AD) 检测和粉样蛋白量化方面表现有前途.
目前,BBBM在增强PET图像合成中的实用性尚未被探索.

研究的目的:

调查将BBBM纳入深度生成模型的MRI到PET交叉模式转换的影响.
评估BBBM在提高合成PET图像质量的有效性.
开发一种使用BBBMs进行PET图像合成的新型生成模型.

主要方法:

评估了三种已建立的跨模式翻译模型,包括和没有BBBM集成.
通过视觉检查和定量指标评估产生的质量提升.
提出了基于CycleGAN的新型条件生成模型Plasma-CycleGAN.

主要成果:

在所有评估的模型中,BBBM集成始终提高了生成质量.
在生成PET图像方面,CycleGAN展示了最高的视觉真实性.
通过使用BBBMs作为条件,Plasma-CycleGAN成功地合成了MRI的PET图像.

结论:

整合BBBM是一种可行的策略,可以增强MRI到PET图像合成.
血循环GAN代表了一种新且有效的方法,用于医学成像中的条件交叉模式翻译.
这项工作为利用BBBM在AI驱动的AD医疗图像分析中开辟了新的途径.