Building on our automated planning series, this post explores how to capture Eclipse optimization and dose calculation output in real time. By leveraging a custom TraceListener, we transform internal ESAPI feedback into actionable UI updates—enabling detailed progress tracking, multiple progress bars, and richer user feedback during long-running planning workflows.

Trajectory log analysis is a powerful way to verify treatment delivery, but interpreting the data correctly can be challenging. In this post, we investigate unexpected MLC discrepancies that appeared during PSQA and trace the issue to low-dose-rate control points where MU sampling breaks down. We demonstrate how a small MU search window around each control point resolves the problem and improves the robustness of plan-to-log comparisons.

Eclipse v18 introduces Plan Checker Extensions, enabling developers to create fully custom automated plan QA rules beyond Varian’s built-in checks. This post explores how Plan Checker extensions inherit from CheckBase, integrate with custom Plan Checker plugins, and encode institution-specific tolerances and logic directly into the planning workflow as part of the new V18 plan checking framework.

Eclipse v18 introduces the Varian Plan Checker, a built-in tool for standardized plan review and documentation. Learn how to create custom Plan Checker plugins, combine information, manual, regex, and automatic checks, and integrate clinical rules directly into the planning workflow. Includes a full open-source example to help clinics build their own institutional plan QA.