Respiratory Motion Correction in Positron Emission Tomography Imaging Using Elastic Registration Based on Sinogram Data_Journal of Biomedical Engineering

Authors：

FENGShuo , CUIRui ,  HEJianfeng , MALei

School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;

Corresponding author：

HEJianfeng, Email: 120112624@qq.com

Keywords：

motion correction; elastic registration; positron emission tomography; sinogram

DOI：

10.7507/1001-5515.20140189

Video：

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In the process of positron emission tomography (PET) data acquiring, respiratory motion reduces the quality of PET imaging. In this paper, we present a correction method using three level grids B-spline elastic method to correct denoised and reorganized sinograms for respiratory motion correction. Using GATE simulates NCAT respiratory motion model to generate raw data which are used in experiment, the experiment results showed a significantly improved respiratory image with higher quality of PET, and the motion blur and structural information were fixed. The results proved the method of this paper would be effective for the elastic registration.

Citation： FENGShuo, CUIRui, HEJianfeng, MALei. Respiratory Motion Correction in Positron Emission Tomography Imaging Using Elastic Registration Based on Sinogram Data. Journal of Biomedical Engineering, 2014, 31(5): 1005-1010. doi: 10.7507/1001-5515.20140189 Copy

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8.	XU Q, YUAN K, YE D. Respiratory motion blur identification and reduction in ungated thoracic PET imaging[J]. Phys Med Biol, 2011, 56(14): 4481-4498.
9.	XU Q, XIE K, YUAN K, et al. A statistical study of the factors influencing the extent of respiratory motion blur in PET imaging[J]. Comput Biol Med, 2012, 42(1): 8-18.
10.	HERTANTO A, ZHANG Q, HU Y C, et al. Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model[J]. Med Phys, 2012, 39(6): 3070-3079.
11.	He J F, O'Keefe G J, Gong S J, et al. A novel method for respiratory motion gated with geometric sensitivity of the scanner in 3D PET[J].IEEE Trans Nuclear Science, 2008, 55(5): 2557-2565.
12.	荣成城, 周健, 曹国刚, 等. 基于粘滞流体 B 样条模型的快速非刚体配准方法[J]. 中国图象图形学报, 2009, 14(4): 712-717.
13.	YIN Y, HOFFMAN E A, LIN C L. Mass preserving nonrigid registration of CT lung images using cubic B-spline[J]. Med Phys, 2009, 36(9): 4213-4222.
14.	LIU J, MA L, HE J, et al. A comparative study of assessment methods for medical image quality[C]//the 2012 5th International Conference on Biomedical Engineering and Informatics, Chongqing; 2012: 131-134.
15.	JAN S, BENOIT D, BECHEVA E, et al. GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy[J]. Phys Med Biol, 2011, 56(4): 881-901.
16.	贺建峰. 数字几何体模仿真呼吸运动[J]. 系统仿真学报, 2010, 9: 2227-2230,2234.
17.	陈洪磊, 贺建峰, 刘俊卿, 等. 迭代图像重建中系统矩阵与重建图像质量关系的研究 [J]. 计算机应用. 2013, 33(1):53-56, 68.

1. 许全盛, 袁克虹, 于丽娟, 等. PET/CT 图像呼吸运动伪影校正研究进展[J]. 中国生物医学工程学报, 2009, 28(4): 573-580.
2. LAMARE F, CARBAYO M J L, KONTAXAKIS G, et al. Incorporation of elastic transformations in list-mode based reconstruction for respiratory motion correction in PET[C]//Nuclear Science Symposium Conference Record, Puerto Rico: 2005: 3-5.
3. CHAMBERLAND M, WASSENAAR R, SPENCER B, et al. Performance evaluation of real-time motion tracking using positron emission fiducial markers[J]. Med Phys, 2011, 38(2):810-819.
4. LIU C, ALESSIO A M, KINAHAN P E. Respiratory motion correction for quantitative PET/CT using all detected events with internal-external motion correlation[J]. Med Phys, 2011, 38(5): 2715-2723.
5. QIAO F, PAN T, CLARK JR J W, et al. A motion-incorporated reconstruction method for gated PET studies[J]. Phys Med Biol, 2006, 51(15): 3769-3783.
6. FIN L, BAILLY P, DAOUK J, et al. Motion correction based on an appropriate system matrix for statistical reconstruction of respiratory-correlated PET acquisitions[J]. Comput Methods Programs Biomed, 2009, 96(3): e1-e9.
7. WANG J, LU K, WANG Q, et al. Kernel optimization for blind motion deblurring with image edge prior[J]. Mathematical Problems in Engineering, 2012, 2012: 1-10.
8. XU Q, YUAN K, YE D. Respiratory motion blur identification and reduction in ungated thoracic PET imaging[J]. Phys Med Biol, 2011, 56(14): 4481-4498.
9. XU Q, XIE K, YUAN K, et al. A statistical study of the factors influencing the extent of respiratory motion blur in PET imaging[J]. Comput Biol Med, 2012, 42(1): 8-18.
10. HERTANTO A, ZHANG Q, HU Y C, et al. Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model[J]. Med Phys, 2012, 39(6): 3070-3079.
11. He J F, O'Keefe G J, Gong S J, et al. A novel method for respiratory motion gated with geometric sensitivity of the scanner in 3D PET[J].IEEE Trans Nuclear Science, 2008, 55(5): 2557-2565.
12. 荣成城, 周健, 曹国刚, 等. 基于粘滞流体 B 样条模型的快速非刚体配准方法[J]. 中国图象图形学报, 2009, 14(4): 712-717.
13. YIN Y, HOFFMAN E A, LIN C L. Mass preserving nonrigid registration of CT lung images using cubic B-spline[J]. Med Phys, 2009, 36(9): 4213-4222.
14. LIU J, MA L, HE J, et al. A comparative study of assessment methods for medical image quality[C]//the 2012 5th International Conference on Biomedical Engineering and Informatics, Chongqing; 2012: 131-134.
15. JAN S, BENOIT D, BECHEVA E, et al. GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy[J]. Phys Med Biol, 2011, 56(4): 881-901.
16. 贺建峰. 数字几何体模仿真呼吸运动[J]. 系统仿真学报, 2010, 9: 2227-2230,2234.
17. 陈洪磊, 贺建峰, 刘俊卿, 等. 迭代图像重建中系统矩阵与重建图像质量关系的研究 [J]. 计算机应用. 2013, 33(1):53-56, 68.

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Respiratory Motion Correction in Positron Emission Tomography Imaging Using Elastic Registration Based on Sinogram Data

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