Abstract

Monitoring respiratory movements is an effective way to improve radiotherapy treatments of thoracic and abdominal tumors, but the current approach is limited to measuring specific points in the chest and abdomen. In this paper, a dynamic three-dimensional (3D) measurement approach of the human chest and abdomen surface is proposed, which can infer tumor movement more accurately, so the radiotherapy damage to the human body can be reduced. Firstly, color stripe patterns in the RGB color model are projected, then after color correction, the collected stripe image sequences are separated into the three RGB primary color stripe image sequences. Secondly, a fringe projection approach is used to extract the folded phase combined 3D Fourier transform with 3D Gaussian filtering. By the relationship between adjacent fringe images in the time sequence, Gaussian filter parameters with individual characteristics are designed and optimized to improve the accuracy of wrapped phase extraction. In addition, based on the difference between the fractional parts of the folded phase error, one remainder equation can be determined, which is used for time-phase unwrapping. The simulation model and human experiments show that the proposed approach can obtain the 3D image sequences of the chest and abdomen surface in respiratory motion effectively and accurately with strong anti-interference ability.

Highlights

  • During radiotherapy, respiratory movements can cause tumors and normal tissues of the chest and abdomen to move at a certain frequency and amplitude

  • The projection pattern does not change, and the deformed stripe image of the chest and abdomen surface is collected in real time

  • The measurement system only collects one composite color stripe pattern, which can decrease the image acquisition time. All these advantages can lay the foundation of the dynamic 3D measurement for the human chest and abdomen surface

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Summary

Introduction

Respiratory movements can cause tumors and normal tissues of the chest and abdomen to move at a certain frequency and amplitude. A dynamic 3D measurement approach of the human chest and abdomen surface during respiration is proposed, which provides a basis for inferring and tracking tumor respiration movement during radiotherapy. This approach adopts a single color stripe pattern with three periods. The projection pattern does not change, and the deformed stripe image of the chest and abdomen surface is collected in real time. The measurement system only collects one composite color stripe pattern, which can decrease the image acquisition time All these advantages can lay the foundation of the dynamic 3D measurement for the human chest and abdomen surface. The sequence expresses the 3D shape of the human chest and abdomen surface at each sampling moment during respiratory movement

Folded Phase Extraction Principle
Three-Dimensional Gauss Filter
Method
Simulation Experiments of Folding Phase Extraction
Methods
Experiments
Measurement Experiments of the Human Chest and Abdomen Surface
Conclusions
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