Deep Reinforcement Learning Designed RF Pulse: DeepRF_SLR

by   Dongmyung Shin, et al.

A novel approach of applying deep reinforcement learning to an RF pulse design is introduced. This method, which is referred to as DeepRF_SLR, is designed to minimize the peak amplitude or, equivalently, minimize the pulse duration of a multiband refocusing pulse generated by the Shinar Le-Roux (SLR) algorithm. In the method, the root pattern of SLR polynomial, which determines the RF pulse shape, is optimized by iterative applications of deep reinforcement learning and greedy tree search. When tested for the designs of the multiband factors of three and seven RFs, DeepRF_SLR demonstrated improved performance compared to conventional methods, generating shorter duration RF pulses in shorter computational time. In the experiments, the RF pulse from DeepRF_SLR produced a slice profile similar to the minimum-phase SLR RF pulse and the profiles matched to that of the computer simulation. Our approach suggests a new way of designing an RF by applying a machine learning algorithm, demonstrating a machine-designed MRI sequence.



page 1

page 3

page 7


DeepRF: Deep Reinforcement Learning Designed RadioFrequency Waveform in MRI

A carefully engineered radiofrequency (RF) pulse plays a key role in a n...

Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems

Hybrid FSO/RF system requires an efficient FSO and RF link switching mec...

Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning

This paper introduces a method, based on deep reinforcement learning, fo...

Improving RNA Secondary Structure Design using Deep Reinforcement Learning

Rising costs in recent years of developing new drugs and treatments have...

Application of Reinforcement Learning for 5G Scheduling Parameter Optimization

RF Network parametric optimization requires a wealth of experience and k...

Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning

Radio Frequency powered Cognitive Radio Networks (RF-CRN) are likely to ...

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning

The SARS-CoV-2 pandemic has created a global race for a cure. One approa...

Code Repositories


source code for a paper named 'Deep Reinforcement Designed RF: DeepRF_SLR'

view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.