Prediction-Based Compensation for Gate OnOff Latency during Respiratory-Gated Radiotherapy

Abstract EN

During respiratory-gated radiotherapy (RGRT), gate on and off latencies cause deviations of gating windows, possibly leading to delivery of low- and high-dose radiations to tumors and normal tissues, respectively.

Currently, there are no RGRT systems that have definite tools to compensate for the delays.

To address the problem, we propose a framework consisting of two steps: (1) multistep-ahead prediction and (2) prediction-based gating.

For each step, we have devised a specific algorithm to accomplish the task.

Numerical experiments were performed using respiratory signals of a phantom and ten volunteers, and our prediction-based RGRT system exhibited superior performance in more than a few signal samples.

In some, however, signal prediction and prediction-based gating did not work well, maybe due to signal irregularity and/or baseline drift.

The proposed approach has potential applicability in RGRT, and further studies are needed to verify and refine the constituent algorithms.