基于切线反投影的CT金属位置和形状标定

李铭; 张涛; 郑健; 杨宏成; 卢彦飞

doi:10.3788/YJYXS20132802.0295

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基于切线反投影的CT金属位置和形状标定

成像技术与图像处理 | 更新时间：2020-08-12

- 基于切线反投影的CT金属位置和形状标定
- Determination of Location and Shape of Metallic Object in CT Based on Tangent Back-Projection
- 液晶与显示 2013年28卷第2期页码：295-299
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 中国科学院大学北京,中国,100049
  3. 中国科学院苏州生物医学工程技术研究所,江苏苏州,215000
- 作者简介：
- 基金信息：
  
  中科院知识创新工程重要方向项目(No.KGCX2-YW-909)();江苏省自然科学基金(No.BK2011331)()
- DOI：10.3788/YJYXS20132802.0295
  中图分类号： TP391.4
- 收稿日期：2012-07-06，
  
  修回日期：2012-10-18，
  
  纸质出版日期：2013-04-15
- 稿件说明：
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李铭, 张涛, 郑健, 杨宏成, 卢彦飞. 基于切线反投影的CT金属位置和形状标定[J]. 液晶与显示, 2013,28(2): 295-299

LI Ming, ZHANG Tao, ZHENG Jian, YANG Hong-cheng, LU Yan-fei. Determination of Location and Shape of Metallic Object in CT Based on Tangent Back-Projection[J]. , 2013,28(2): 295-299
李铭, 张涛, 郑健, 杨宏成, 卢彦飞. 基于切线反投影的CT金属位置和形状标定[J]. 液晶与显示, 2013,28(2): 295-299 DOI： 10.3788/YJYXS20132802.0295.

LI Ming, ZHANG Tao, ZHENG Jian, YANG Hong-cheng, LU Yan-fei. Determination of Location and Shape of Metallic Object in CT Based on Tangent Back-Projection[J]. , 2013,28(2): 295-299 DOI： 10.3788/YJYXS20132802.0295.

摘要

针对CT金属伪影去除算法中

如何在图像空间准确定位金属区域问题

提出一种基于切线反投影重建一幅二值图像的方法对CT图像中金属的位置和形状进行标定。方法首先采用检测器等距扇形束扫描结构采集原始投影数据;然后配合区域生长的图像分割算法对原始投影数据中金属区域的投影进行分割

再利用原始投影数据分割的结果

采用基于切线反投影二值图像重建方法对CT图像中金属的位置和形状进行标定;最后采用计算机仿真实验对上述方法进行评估。实验结果表明

上述方法能够准确定位模型中金属的位置和形状。

Abstract

A new method for accurate determination of the location and shape of metallic object in X-ray computed tomography by a binary image reconstruction technique is proposed. The binary image reconstruction technique used here is based on tangent back-projection(TBP). The proposed method firstly uses geometry of Fan-Beam CT scan to obtain simulated raw sinogram. Next

based on region growing image segmentation

the metal region sinogram is segmented from simulated raw sinogram. The final binary image is reconstructed by TBP. A computer simulation experiment demonstrated the proposed method can accurately determinate the location and shape of metallic object in digital phantom.

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references

Robertson D D, Yuan J, Wang G, et al. Total hip prosthesis metal-artifact suppression using iterative deblurring reconstruction [J]. J. Computer Assisted Tomography, 1997, 21(2):293-298.[2] Kalender W A,Hebel R, Ebersberger J. Reduction of CT artifacts caused by metallic implants [J]. Radiology, 1987,164(2):576-577.[3] Veldkamp W J H, Joemai R M S, van der Molen A J, et al. Development and validation of segmentation and interpolation techniques in sinograms for metal artifact suppression in CT [J]. Medical Physics, 2010,37(2):620-628.[4] Glover G H, Pelc N J. An algorithm for the reduction of metal clip artifacts in CT reconstructions [J]. Medical Physics, 1981,8:799-807.[5] Mahnken A H, Raupach R, Wildberger J E, et al. A new algorithm for metal artifact reduction in computed tomography: in vitro and in vivo evaluation after total hip replacement [J]. Investigative Radiology, 2003. 38(12):769-775.[6] Yu H, Zeng K, Bharkhada D K, et al. A segmentation-based method for metal artifact reduction [J]. Academic Radiology, 2007,14(4):495-504.[7] Yazdia M, Gingras L, Beaulieu L.An adaptive approach to metal artifact reduction in helical computed tomography for radiation therapy treatment planning: Experimental and clinical studies [J]. (vol 62, pg 1224, 2005). International Journal of Radiation Oncology Biology Physics, 2005. 63(2):1224-1331.[8] Zhang Y B, Zhang L F, Ronald X, et al. Reducing metal artifacts in cone-beam CT images by preprocessing projection data [J]. International J. Radiation Oncology, Biology, Phy. 2007,67(3):924-932.[9] De Man B, Nuyts J, Dupont P, et al. Reduction of metal streak artifacts in x-ray computed tomography using a transmission maximum a posteriori algorithm [J]. IEEE Nuclear Science Symposium Conference Record 2,1999:850-854.[10] Wang G, Snyder D L, Osullivan J A, et al. Iterative deblurring for CT metal artifact reduction [J]. Medical Imaging, IEEE Transactions on, 1996. 15(5):657-664.[11] Wang J, Xing L. A binary image reconstruction technique for accurate determination of the shape and location of metal objects in x-ray computed tomography [J]. J. X Ray Sci. Technol., 2010. 18(4):403-414.[12] 王田, 刘伟宁, 孙海江, 等. 基于复杂度和方向梯度的红外弱小目标检测方法 [J]. 液晶与显示, 2012,(5): 692-696.[13] 吴君钦, 刘昊, 罗勇. 静态背景下的运动目标检测算法 [J]. 液晶与显示, 2012,(5):682-686.[14] 刘刚,王立香,董延,等.MATLAB数字图像处理[M].北京:机械工业出版社,2010:212-214.

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