Method and system for high-resolution multi-parametric quantitative magnetic resonance imaging
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United States of America
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Feb 25, 2025
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Jun 20, 2024
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May 31, 2023
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May 31, 2023
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Abstract
A method for fast high-resolution multi-parametric quantitative magnetic resonance imaging comprises: designing a fast high-resolution multiple overlapping-echo imaging pulse sequence; determining sampling parameters of the pulse sequence; constructing a deep neural network for reconstructing high-resolution multi-parametric quantitative magnetic resonance images; generating training samples of the deep neural network; using the training samples to train the deep neural network to obtain trained deep neural networks; scanning a real imaging object using the pulse sequence under the sampling parameters to obtain k-space data of the real imaging object; pre-processing the k-space data of the real imaging object to obtain image domain data of the real imaging object; and inputting the image domain data of the real imaging object into the trained deep neural networks for the reconstructing to obtain the high-resolution multi-parametric quantitative magnetic resonance images of the real imaging object.
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