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

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Published on: April 11, 2018

SU-E-J-178: Development of Image Planning System for Radiation Therapy.

B Thapa¹, J Molloy¹

¹Department of Radiation Medicine, University of Kentucky, Lexington, KY.

Medical Physics

|May 19, 2017

Summary

A new patient-specific imaging system optimizes radiotherapy imaging parameters for better image quality. This system predicts optimal settings based on dose and imaging goals, improving diagnostic accuracy in image-guided radiotherapy.

Keywords:

Anatomy Computed tomography Digital image processing Dosimetry Image sensors Medical diagnosis Medical image quality Medical imaging Particle beam detectors Radiation therapy

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Published on: February 6, 2019

Area of Science:

Medical Physics
Radiotherapy
Medical Imaging

Background:

Radiotherapy imaging dose constraints differ from diagnostic imaging.
Current imaging parameter selection relies on broad patient and imaging categories.
Optimizing imaging parameters can improve image quality and therapeutic outcomes.

Purpose of the Study:

To develop and benchmark a patient-specific image planning system.
To predetermine optimal imaging acquisition parameters for image-guided radiotherapy.
To balance patient dose with desired image quality.

Main Methods:

Developed a Matlab algorithm for divergent ray-tracing through CT data.
Calculated energy-specific attenuation and integrated measured detector response.
Validated the system using a flat panel imager, linear accelerator, and lung phantom.

Main Results:

Qualitative agreement observed between simulated and measured images.
The algorithm predicts detector under-exposure and saturation at various beam qualities and exposures.
Object detectability decreased predictably with increasing exposure levels (mAs).

Conclusions:

Established the feasibility of a patient-specific image planning system.
Demonstrated qualitative accuracy in predicting image quality and object detectability.
Further work will incorporate beam heterogeneity for quantitative accuracy.