TPS-Independent DICOM MLC Complexity Analyzer (Python Script)

Unlock plan-complexity insights directly from DICOM RTPLAN — no TPS required.

This Python-based tool analyzes MLC geometry and modulation behavior to help you identify delivery-challenging segments before QA. Works with plans from any TPS including RayStation, Eclipse, Monaco, and more.

✅ What It Detects

• Extremely narrow MLC segments

• Long, thin apertures

• Excessive leaf travel / dynamic motion

• High modulation factor (MU inefficiency)

✅ Metrics Computed

✔ Segment Area

✔ Average Leaf Opening Width

✔ Leaf Travel per Leaf Pair

✔ Modulation Factor (MU / cGy)

✅ Why It Matters

Small/complex segments are strongly associated with:

• QA failures

• Dose-calculation uncertainty

• Mechanical delivery issues

This script enables early detection so you can proactively flag risky beams before they reach the linac.

✅ Key Features

• Pure DICOM-based — TPS-independent

• Easy Python implementation (pydicom)

• Clear printed warnings with thresholds

• Works on single or multiple beams

• Adjustable limits for clinical preference

✅ Output Includes

• Per-segment area + average opening

• Cumulative leaf travel metrics

• Beam-level modulation factor

• Summary table of flagged segments

📦 What You Get

• Python script (.py)

Perfect for:

• Clinical physicists

• QA teams

• TPS-independent automation workflows

• DICOM-based research tools

Streamline your plan-assessment workflow and anticipate QA issues before they happen.