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Updated: May 7, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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综合MR指纹信息从仅大小的MR成像数据使用并行,多网络U-Net卷积神经网络合成

Kiaran P McGee1, Yi Sui1, Robert J Witte1

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Frontiers in radiology
|January 1, 2025
PubMed
概括

深度学习网络现在可以从标准MRI扫描中创建MR指纹 (MRF) 信号. 这一突破使定量放松计能够在没有专门的MRF序列的情况下进行,从而提高了可访问性.

关键词:
这就是MPRAGE.这就是U-Net.卷积神经网络是一种卷积神经网络.磁共振指纹的使用放松度计放松度计放松度计.

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相关概念视频

NMR Spectrometers: Overview01:20

NMR Spectrometers: Overview

NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...
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