Article

Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting in non-alcoholic fatty liver disease

2022-04-04

Abstract excerpt

Neural network generated intravoxel incoherent motion (IVIM) parameter maps are visually more detailed, less noisy and have a higher test-retest repeatability than conventional least-squares (LSQ) generated images. Recent literature suggests that tri-exponential models may fit liver IVIM data more accurately than conventional bi-exponential models, warranting investigation into the use of a neural network (NN) to...

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Literature Corpus work: 4c7e6f3d-eb33-52a9-890f-76adbfeea8a1
DOI: 10.1101/2022.04.04.22273378

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