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Four-Dimensional Dose Reconstruction for Scanned Proton Therapy Using Liver 4DCT-MRI
Kinga Bernatowicz1, Marta Peroni2, Rosalind Perrin2
1Department of Physics, Swiss Federal Institute of Technology, Zürich, Switzerland; Proton Therapy Center, Paul Scherrer Institute, PSI Villigen, Switzerland.
Summary
Subject-specific four-dimensional computed tomography-magnetic resonance imaging (4DCT-MRI) modeling accurately simulates realistic liver motion for radiation dose calculations, outperforming population-based approaches.
Area of Science:
- Medical Imaging
- Radiation Oncology
- Computational Anatomy
Background:
- Four-dimensional computed tomography-magnetic resonance imaging (4DCT-MRI) is an advanced image-processing technique.
- It simulates multiple 4D computed tomography (4DCT) datasets using static CT data and motion information from 4D MRI.
- This technique is valuable for motion modeling in radiation therapy.
Purpose of the Study:
- To evaluate different motion extraction approaches for 4DCT-MRI.
- To compare the accuracy of 4DCT-MRI against traditional 4DCT using liver cases.
- To assess dosimetric agreement for radiation dose calculations.
Main Methods:
- Generated 4DCT-MRI using two methods: subject-specific motion from 4DMRI and population-based motion from a volunteer library.
- Compared generated 4DCT-MRI datasets with 4DCT using scanned proton 4D dose calculations (4DDC).
- Utilized gamma analysis (3%/3 mm) to assess dosimetric agreement within the clinical target volume (CTV).
Main Results:
- Subject-specific 4DCT-MRI achieved high dosimetric agreement (93% ± 8%) with 4DCT within the CTV.
- The population-based approach showed significantly lower agreement (79% ± 14%) with 4DCT.
- These findings highlight differences in accuracy between the two motion modeling strategies.
Conclusions:
- 4DCT-MRI enhances motion modeling for dose calculations by incorporating realistic motion patterns.
- Subject-specific liver modeling in 4DCT-MRI is more accurate than population-based methods.
- Subject-specific 4DCT-MRI is promising for clinical applications like improved target delineation and patient-specific quality assurance.

