Related Experiment Video
Updated: Jul 27, 2025
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
Published on: June 21, 2024
Simulation of a new respiratory phase sorting method for 4D-imaging using optical surface information towards
Zhengkun Dong1, Shutong Yu1, Adam Szmul2
1Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
This study introduces a new optical surface imaging method for precise respiratory signal detection in 4D imaging, enhancing radiotherapy accuracy. The non-invasive technique shows high consistency with traditional methods.
Area of Science:
- Medical Physics
- Radiotherapy Technology
- Image Processing
Background:
- Accurate respiratory signal detection is crucial for 4-dimensional (4D) imaging in radiotherapy.
- Current methods may have limitations in precision and applicability across different anatomical regions.
Purpose of the Study:
- To propose and evaluate a novel respiratory phase sorting method using optical surface imaging (OSI).
- To enhance the precision of 4D imaging for radiotherapy applications.
Main Methods:
- Simulated 4D Extended Cardiac-Torso (XCAT) digital phantom data and Varian 4D kV cone-beam-CT (CBCT) imaging geometries.
- Extracted respiratory signals using Gaussian Mixture Model for registration and Principal Component Analysis (PCA) for dimension reduction.
- Compared breathing frequencies via Fast-Fourier-Transform and evaluated 4D CBCT image consistency using RMSE, SSIM, and PSNR.
Main Results:
- High consistency observed between diaphragm-based (0.232 Hz) and OSI-based (0.251 Hz) breathing frequencies (discrepancy of 0.019 Hz).
- Quantitative evaluation showed high image consistency for end-of-expiration (EOE) and end-of-inspiration (EOI) phases, with SSIM values close to 1 and favorable RMSE and PSNR metrics.
Conclusions:
- The proposed OSI-based respiratory phase sorting method is effective for 4D imaging.
- This non-ionizing, non-invasive, and non-contact approach offers potential advantages for precision radiotherapy across various applications.
