Deep reinforcement learning-designed radiofrequency waveform in MRI

Volume: 3, Issue: 11, Pages: 985 - 994
Published: Nov 1, 2021
Abstract
Carefully engineered radiofrequency (RF) pulses play a key role in a number of systems such as mobile phone, radar and magnetic resonance imaging. The design of an RF waveform, however, is often posed as an inverse problem with no general solution. As a result, various design methods, each with a specific purpose, have been developed on the basis of the intuition of human experts. In this work we propose an artificial intelligence (AI)-powered...
Paper Details
Title
Deep reinforcement learning-designed radiofrequency waveform in MRI
Published Date
Nov 1, 2021
Volume
3
Issue
11
Pages
985 - 994
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.