Original paper
Multimodal MRI synthesis using unified generative adversarial networks
Abstract
Complementary information obtained from multiple contrasts of tissue facilitates physicians assessing, diagnosing and planning treatment of a variety of diseases. However, acquiring multiple contrasts magnetic resonance images (MRI) for every patient using multiple pulse sequences is time-consuming and expensive, where, medical image synthesis has been demonstrated as an effective alternative. The purpose of this study is to develop a unified...
Paper Details
Title
Multimodal MRI synthesis using unified generative adversarial networks
Published Date
Oct 27, 2020
Journal
Volume
47
Issue
12
Pages
6343 - 6354
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History