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基于点云分布的光学发射层析系统响应矩阵计算方法

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为满足放射治疗的三维剂量实时测量验证需求,基于闪烁体发光的三维剂量测量技术被提出.该技术利用闪烁体受辐射发光的原理,将三维剂量分布转换为三维光分布,并通过相机和光学发射层析技术进行三维光分布的测量与重建.基于光学发射层析的三维重建需要使用迭代算法,而系统响应矩阵是迭代重建的重要参数.本文基于小孔成像模型提出了基于点云分布的系统响应矩阵计算方法,该方法将体素转化成随机点云,计算点云投影至像素内的数量作为体素对像素的响应.在模拟成像的对比中,相较于传统的基于投影面积的计算方法,该方法抑制了模拟图像上的条纹状误差,提升了模拟成像的均匀性和梯度均匀性,改善了模拟精度,有利于提升三维重建的准确性.
Calculation method of system response matrix of optical emission tomography based on point cloud distribution
To meet the demand of 3D real-time dose verification in radiotherapy,the 3D dose measurement technology based on scintillator luminescence was proposed.Based on the principle of scintillator lumines-cence by radiation,the 3D dose distribution was converted into 3D light distribution,and the 3D light distribution was measured and reconstructed by camera and optical emission tomography.The iterative algorithm was needed for 3D reconstruction based on optical emission computed tomography,and the system response matrix was an important parameter for iterative reconstruction.A calculation method of system response matrix based on point cloud distribution was proposed on the basis of pinhole imaging model,which converted voxels into random point clouds and calculated the number of point cloud projected in the pixels as the response of voxels to pixels.In the comparison of simulated imaging,compared with the traditional calculation method based on projection area,the proposed method suppressed the stripe-like error on the simulated images,improved the uniformity and gradient uniformity of simulated images,and improved the simulation accuracy,which was conducive to improving the accuracy of 3D reconstruction.

3D dose verificationoptical emission tomographysystem response matrixpinhole imaging modelpoint cloud

靳海晶、李华、宋建波、闫学文、何良、李德源、芦莹、庞国宝

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中国辐射防护研究院 核与辐射前沿技术研究中心,山西 太原 030006

核药研发转化与精准防护山西省重点实验室,山西 太原 030006

山西白求恩医院 放射科,山西 太原 030032

清华大学 工程物理系,北京 100084

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三维剂量验证 光学发射层析 系统响应矩阵 小孔成像模型 点云

国家自然科学基金

11905190

2024

应用光学
中国兵工学会 中国兵器工业第二0五研究所

应用光学

CSTPCD北大核心
影响因子:0.517
ISSN:1002-2082
年,卷(期):2024.45(2)
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