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Published on: February 12, 2018
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Development of a 4D numerical chest phantom with customizable breathing
Pierre-Emmanuel Leni1, Rémy Laurent1, Michel Salomon2
1IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France.
Summary
This study introduces a novel 4D numerical phantom to simulate patient breathing for radiation therapy. This method accurately models lung, heart, and esophageal motion, reducing reliance on 4D CT scans and minimizing radiation exposure.
Area of Science:
- Medical Physics
- Radiotherapy
- Computational Modeling
Background:
- Four-dimensional computed tomography (4DCT) is crucial for radiation therapy planning, providing respiratory movement data.
- Reducing 4DCT use can significantly decrease patient radiation exposure, the long-term effects of which are not fully understood.
- Accurate simulation of organ motion during respiration is essential for precise radiotherapy delivery.
Purpose of the Study:
- To develop and validate a customized 4D numerical phantom for simulating patient-specific respiratory motion.
- To reduce the need for 4DCT scans, thereby minimizing radiation exposure in radiotherapy.
- To assess the accuracy of the phantom in modeling lung, cardiac, and esophageal movements throughout the respiratory cycle.
Main Methods:
- Creation of a patient-specific 4D numerical phantom based on anthroporadiometric data.
- Training artificial neural networks using 4DCT datasets to interpolate lung contours and simulate respiration.
- Modeling lung, cardiac, and esophageal motion across respiratory phases using the developed phantom.
- Validation of lung contour interpolation against 4DCT data using the Dice coefficient.
Main Results:
- The 4D numerical phantom accurately simulates lung, heart, and esophageal position and volume throughout the respiratory cycle.
- Lung modeling achieved a Dice coefficient greater than 0.93 when compared to 4DCT data over a full breath cycle.
- The approach demonstrated flexibility in modeling cardiac and esophageal motion, indicating its potential for comprehensive respiratory simulation.
Conclusions:
- The proposed 4D numerical phantom offers a viable and accurate alternative to 4DCT for simulating respiratory motion in radiotherapy.
- This method holds promise for reducing patient radiation exposure while maintaining high accuracy in treatment planning.
- The validated phantom can be customized for individual patients, enhancing the precision and safety of radiation therapy.
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