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清华大学学报(自然科学版)  2015, Vol. 55 Issue (1): 122-127    
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基于相机模型的锥束CT重建误差校正
王梦蛟,丁辉,王广志()
Misaligned cone beam computed tomography reconstruction based on a camera model
Mengjiao WANG,Hui DING,Guangzhi WANG()
Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
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摘要 

该文对存在几何误差的锥束计算机层析成像(CT)的图像重建校正方法进行了研究。该文将锥束CT系统看做针孔相机,因此相机的成像模型可以用来修正三维体素与二维投影之间的映射关系。将该映射关系带入到重建算法中,就可以对存在误差的锥束CT进行有效的重建,提高重建图像的质量。计算机视觉中的相机标定技术被用来构建成像模型。该技术的可靠性保证了本文方法的精度和鲁棒性。仿真和实际系统实验表明: 本方法可以在图像重建过程中对锥束CT中的几何误差进行有效的校正。

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关键词 锥束计算机层析成像(CT)重建几何误差校正针孔相机成像模型相机标定技术    
Abstract

A correction was developed for a misaligned cone beam computed tomography (CT) system. The cone beam CT system was modeled as a pin-hole camera. A camera imaging model was used to describe the mapping information between the 3D voxels and the 2D projection. This information was integrated into the cone beam CT reconstruction to correct the misaligned cone beam CT image. A computing camera calibration technique was used to build the imaging model. This technique is reliable and accurate. Simulations and real system tests show that this method effectively corrects geometric misalignments during cone beam CT reconstruction.

Key wordscone beam computed tomography(CT) reconstruction    geometric misalignments correction    pin-hole camera imaging model    camera calibration technique
收稿日期: 2014-01-17      出版日期: 2015-05-15
基金资助:“十二五”国家科技支撑计划项目(2012BAI16B03);国家自然科学基金资助项目(81471759);北京市重大科技成果产业化项目(Z131100006413027)
引用本文:   
王梦蛟,丁辉,王广志. 基于相机模型的锥束CT重建误差校正[J]. 清华大学学报(自然科学版), 2015, 55(1): 122-127.
Mengjiao WANG,Hui DING,Guangzhi WANG. Misaligned cone beam computed tomography reconstruction based on a camera model. Journal of Tsinghua University(Science and Technology), 2015, 55(1): 122-127.
链接本文:  
http://jst.tsinghuajournals.com/CN/  或          http://jst.tsinghuajournals.com/CN/Y2015/V55/I1/122
  锥束CT成像中坐标系的定义
  不同几何误差下的锥束CT重建校正结果
  不同几何误差下的MTF对比
俯仰5° 偏转5° 旋转5° DSR+10mm DSD+10mm PR-(10,10)
真实值 15.3 15.1 15.1 15.1 15.1 15.1
校正结果(无噪声) 15.4 14.9 11.1 17.2 18.1 14.9
校正结果(0.5像素噪声水平) 15.3 14.9 10.8 17.2 18.5 14.9
未校正结果 15.2 10.2 2.6 13.1 11.8 1.2
  不同几何误差校正前后的空间分辨率(线对数)对比(lp·mm-1)
  实际系统中线模体与小鼠的成像结果对比
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