Online prediction for respiratory movement compensation: a patient-specific gating control for MRI-guided radiotherapy.

ABSTRACT:

Background

This study aims to validate the effectiveness of linear regression for motion prediction of internal organs or tumors on 2D cine-MR and to present an online gating signal prediction scheme that can improve the accuracy of MR-guided radiotherapy for liver and lung cancer.

Materials and methods

We collected 2D cine-MR sequences of 21 liver cancer patients and 10 lung cancer patients to develop a binary gating signal prediction algorithm that forecasts the crossing-time of tumor motion traces relative to the target threshold. Both 0.4 s and 0.6 s prediction windows were tested using three linear predictors and three recurrent neural networks (RNNs), given the system delay of 0.5 s. Furthermore, an adaptive linear regression model was evaluated using only the first 30

SUBMITTER: Li Y 

PROVIDER: S-EPMC10496354 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature