Real-time respiratory motion prediction using photonic reservoir computing.

ABSTRACT: Respiration induced motion is a well-recognized challenge in many clinical practices including upper body imaging, lung tumor motion tracking and radiation therapy. In this work, we present a recurrent neural network algorithm that was implemented in a photonic delay-line reservoir computer (RC) for real-time respiratory motion prediction. The respiratory motion signals are quasi-periodic waveforms subject to a variety of non-linear distortions. In this work, we demonstrated for the first time that RC can be effective in predicting short to medium range of respiratory motions within practical timescales. A double-sliding window technology is explored to enable the real-time establishment of an individually trained model for each patient and the real-time processing of live-streamed respira

SUBMITTER: Liang Z 

PROVIDER: S-EPMC10082218 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature