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bioRxiv · 10.1101/289926

MRI2MRI: A deep convolutional network that accurately transforms between brain MRI contrasts

Xiao, S.·Wu, Y.·Lee, A. Y.·Rokem, A.
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Abstract

Different brain MRI contrasts represent different tissue properties and are sensitive to different artifacts. The relationship between different contrasts is therefore complex and nonlinear. We developed a deep convolutional network that learns the mapping between different MRI contrasts. Using a publicly available dataset, we demonstrate that this algorithm accurately transforms between T1- and T2-weighted images, proton density images, time-of-flight angiograms, and diffusion MRI images. We demonstrate that these transformed images can be used to improve spatial registration between MR images of different contrasts.

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Xiao, S., Wu, Y., Lee, A. Y., Rokem, A.. 2018-03-27. MRI2MRI: A deep convolutional network that accurately transforms between brain MRI contrasts. https://doi.org/10.1101/289926

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