Article

Through-plane super-resolution with autoencoders in diffusion magnetic resonance imaging of the developing human brain

2021-12-07

Abstract excerpt

<h4>ABSTRACT</h4> Fetal brain diffusion magnetic resonance images are often acquired with a lower through-plane than in-plane resolution. This anisotropy is often overcome by classical upsampling methods such as linear or cubic interpolation. In this work, we employ an unsupervised learning algorithm using an autoencoder neural network to enhance the through-plane resolution by leveraging a large amount of data....

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Literature Corpus work: 0bce7e0b-0555-5bed-85b1-b2bb04cc9f45
DOI: 10.1101/2021.12.06.471406

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