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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Retrieving Proton Beam Information Using Stitching-Based Detector Technique and Intelligent Reconstruction

Chi-Wen Hsieh¹, Hong-Liang Chang², Yi-Hsiang Huang¹

¹Department of Electrical Engineering , National Chung Cheng University, Chiayi 621301, Taiwan.

Sensors (Basel, Switzerland)

|August 28, 2025

Summary

This summary is machine-generated.

This study introduces a stitching-based detector (SBD) and algorithms for reconstructing particle beam data in radiotherapy. The method accurately measures beam intensity, sigma, and location, ensuring quality assurance in treatments like proton beam therapy (PBT).

Keywords:

ionization chamber pencil beam scanning proton beam reconstruction proton beam therapy quality assurance radiotherapy stitching-based detector

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Area of Science:

Medical Physics
Radiotherapy Technology
Particle Beam Analysis

Background:

Quality assurance in radiotherapy is critical for patient safety and treatment efficacy.
Accurate characterization of particle beams is essential for precise dose delivery.
Existing methods may have limitations in real-time monitoring and reconstruction.

Purpose of the Study:

To propose a novel stitching-based detector (SBD) technique for particle beam reconstruction.
To develop intelligent algorithms for determining beam intensity, sigma value, and location.
To validate the effectiveness of the SBD technique and algorithms in radiotherapy applications.

Main Methods:

Utilized a stitching-based detector (SBD) with 128x128 ionization chambers.
Employed intelligent algorithms to reconstruct projected particle beam information.
Validated the technique using pencil beam scanning (PBS) proton beam therapy (PBT) simulations.
Analyzed performance across various sigma values and intensity definitions.

Main Results:

The SBD technique and algorithms demonstrated satisfactory and practical performance in simulations.
Achieved a maximum error rate of 3.95% in beam parameter reconstruction.
Identified that errors predominantly occur at symmetrical and peripheral boundaries.
Observed that lower sigma values increase error rates due to sensor imprecision.

Conclusions:

The proposed SBD technique and intelligent algorithms offer a viable solution for particle beam quality assurance in radiotherapy.
The method is robust, with practical error rates even in challenging conditions.
The technique is broadly applicable to Gaussian-distributed particle beams in radiotherapy.