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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

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Geometrical pre-planning for conformal radiotherapy.

Ioannis Tsougos¹, Eduard Schreibmann, Michael Lahanas

¹Medical Physics Department, Medical School, University Hospital, University of Thessaly, Greece. jtsoug@med.uth.gr

Acta Oncologica (Stockholm, Sweden)

|September 14, 2007

Summary

This study introduces an analytic method for optimizing beam and arc selection in conformal radiotherapy. The technique minimizes radiation exposure to organs at risk (OAR) and maximizes coverage of the planning target volume (PTV).

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Area of Science:

Medical Physics
Radiation Oncology
Computational Biology

Background:

Conformal radiotherapy requires precise beam and arc selection for optimal treatment.
Minimizing radiation dose to organs at risk (OAR) while ensuring adequate planning target volume (PTV) coverage is critical.

Purpose of the Study:

To develop and describe an analytic method for optimizing beam and arc selection in conformal radiotherapy.
To introduce a novel arc-selection function for improved treatment planning.

Main Methods:

An analytic method was developed to minimize the intersection between beams and OAR, and between beams and PTV.
A computed beam feasibility was defined for all gantry-table angle combinations, considering accurate intersection volumes.
Results were visualized on a virtual sphere, color-coding beam feasibility for user-specified thresholds.

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Main Results:

The method simulates treatment by calculating beam feasibility based on OAR and PTV intersections.
An arc-selection function was introduced to select irradiation arcs based on individual beam feasibility.
The accuracy was validated using geometrical shapes and clinical cases.

Conclusions:

The described analytic method aids in the optimum selection of beams and arcs for conformal radiotherapy.
The approach enhances treatment planning by providing a systematic way to assess beam feasibility and select optimal arcs.