深度学习在PET/MR成像中用于预测阿尔茨海默病的应用
Yan Zhao1, Qianrui Guo2, Yukun Zhang3
1Department of Information Center, The First Affiliated Hospital, Dalian Medical University, Dalian 116011, China.
Bioengineering (Basel, Switzerland)
|October 28, 2023
概括
深度学习 (DL) 通过使用先进的PET/MR成像技术,提高了阿尔茨海默病 (AD) 诊断. 本综述探讨了AD中的DL应用,为改进诊断和个性化医疗提供了潜在的潜力.
科学领域:
- 神经成像是一种神经成像.
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 阿尔茨海默病 (AD) 是一种进展性神经退行性疾病,影响全球数百万人.
- 阳位子发射断层扫描/磁共振 (PET/MR) 成像提供了功能和结构大脑的综合洞察力.
- 深度学习 (DL),机器学习 (ML) 和人工智能 (AI) 的一个子集,利用大脑启发的神经网络.
研究的目的:
- 审查DL算法的基本概念和类型.
- 要总结DL在AD PET/MR成像中的当前应用和挑战.
- 讨论未来在AD诊断和治疗中使用DL的机会.
主要方法:
- 介绍DL概念:前神经网络,卷积神经网络,循环神经网络和自动编码器.
- 在AD PET/MR成像中对DL应用的审查:细分,重建,诊断,预测和可视化.
- 讨论神经成像DL的挑战和未来方向.
主要成果:
- DL算法正在应用于阿尔茨海默病PET/MR成像的各个方面.
- 目前的DL应用程序在改善图像质量,诊断和预测方面表现有前途.
- 在DL模型的实施和验证方面仍然存在重大挑战.
结论:
- 在阿尔茨海默病研究中,DL具有很大的潜力,可以提高PET/MR成像的质量和效率.
- DL可以为AD病理生理学提供新的见解,并促进个性化医疗方法.
- 进一步的研究和开发至关重要,以充分实现DL在抗击阿尔茨海默病的好处.
相关概念视频
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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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01:14Brain Imaging
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).