Article

Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure and Hemodynamic Properties

2021-09-11

Abstract excerpt

<h4>Purpose</h4> To introduce a Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) method for reconstructing quantitative maps of biological tissue cellular-specific, R 2 t * and hemodynamic-specific, R 2′ from Gradient-Recalled-Echo (GRE) MRI data with multiple gradient-recalled echoes. <h4>Methods</h4> DANSE method adapts supervised learning paradigm to train a convolutional neural net...

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Literature Corpus work: 9e54e772-1c18-5ffd-9059-cf177f3929db
DOI: 10.1101/2021.09.10.459810

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Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure and Hemodynamic PropertiesDOI 10.1101/2021.09.10.459810Read

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