Abstract

In order to improve the precision of functional imaging of cone beam computed tomography (CBCT), this paper firstly uses the dynamic contrast enhancement tomography (DCE-CT) of the white rabbit as the measured object and establishes volume integral model to obtain the projection data. Then the optimization method is used to solve the optimal parameter pairs of the voxel time density curve (TDC). Finally, the results of the perfusion are obtained by the deconvolution method. The results show that the TDC correlation coefficient is 83.99% after, and the maximum of Spearman correlation coefficient of the perfusion parameter is 0.5125, and the projection time consumption is 7.633 seconds through the volume integral model. It can be seen that the volume integral model is closer to the real projection and it can obtain more accurate perfusion data.

Highlights

  • The essence of tumor radiotherapy is to make stronger radioactivity parity radiation, such as X and Y ray, focus on one point, and utilize the energy contained in the focus to destroy the tumor cell structure[1].Radiotherapy techniques include anatomical imaging guided therapy and functional imaging guided therapy

  • The functional imaging guidance technology that uses the information of tumor physiology can make up for this deficiency[2]

  • This paper proposes the method of cone beam CT imaging using volume integral model

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Summary

INTRODUCTION

The essence of tumor radiotherapy is to make stronger radioactivity parity radiation, such as X and Y ray, focus on one point, and utilize the energy contained in the focus to destroy the tumor cell structure[1].Radiotherapy techniques include anatomical imaging guided therapy and functional imaging guided therapy. The ray source and the area detector are synchronized 360 rotation scanning around the measured object It has the characteristics of small radiation and high imaging precision[4]. Paper [7,8,9] designed different projection models to obtain projection data and gained the better perfusion results. These projection models were based on the two-dimensional plane, which is not consistent with the actual scanning process of CBCT. On the basis of previous research, this paper will use the volume integral model which is closer to the CBCT scanning process to obtain the projection data and complete the CBCT functional imaging

CBCT SAMPLING PROBLEM AND PERFUSION SIMULATION PROCESS
Obtain the simulated projection data
Simplified projection model
Discuss the coverage of slice and ray beam on XOY plane
Discuss the coverage of slice and ray beam in three-dimensional space
Calculate the intersecting volume of voxel and ray beams
Optimize volume integral model using GPU parallel computing
Obtain the approximate time density curve
Obtain CBCT perfusion parameters
Experimental materials and preparation
Projection data and cost
Correlation coefficient of TDC
Correlation coefficient of perfusion parameters
Conclusion
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