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Oct, 2022
基于深度神经网络模型的1.5T-3T磁共振成像转换的比较研究
A Comparative Study on 1.5T-3T MRI Conversion through Deep Neural Network Models
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Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
TL;DR
本研究使用多种深度神经网络模型，包括全卷积网络和三种最先进的超分辨率方案，将临床1.5T MRI生成全脑3T MR图像，并比较了它们的优缺点和评估指标。此外，该研究还首次尝试将FCN/U-Net结构应用于MRI转换。
Abstract
In this paper, we explore the capabilities of a number of deep
neural network
models in generating
whole-brain
3T-like MR images from clinical 1.5T MRIs. The models include a fully convolutional network (FCN) met
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