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Updated: Sep 13, 2025

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基于深度学习的MRI加速:神经放射学当前的现状和临床应用

Pranjal Rai1, Ian T Mark1, Neetu Soni1

  • 1From the Department of Radiology, Tata Memorial Hospital, Mumbai, Maharashtra, IN 400012 (P.R.), Division of Neuroradiology, Department of Radiology, Mayo Clinic, Rochester, MN (I.T.M., F.D., S.A.M., J.C.B., A.M., G.B.), Division of Neuroradiology, Department of Radiology, Mayo Clinic, Jacksonville, FL (N.S.), and Division of Neuroradiology, Department of Radiology, Geisinger Health, Danville, PA 17822 (A.A.).

AJNR. American journal of neuroradiology
|July 28, 2025
PubMed
概括

基于深度学习的图像重建 (DLBIR) 加快MRI扫描,减少采集时间和提高图像质量. 虽然神经成像对神经成像有希望,但挑战仍然在于供应商特定算法的概括性和验证.

关键词:
人工智能的人工智能是人工智能.深度学习 (Deep Learning) 是一种深度学习.图像加速度 图像加速度图像重建 图像的重建磁共振成像是一种磁共振成像技术.神经成像是一种神经成像.信号与噪声的比率.

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