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Analytical Calculation of the Compton Single Scatter Component of Pencil Beam Scatter Kernel for Scatter Correction in kV Cone Beam CT (kV-CBCT)

DOI: 10.4236/ijmpcero.2018.72019, PP. 214-230

Keywords: Scatter Correction, Cone Beam CT, Beam Scatter Kernel, Compton Scatter, Single Scatter

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Abstract:

The accuracy of conventional superposition or convolution methods for scatter correction in kV-CBCT is usually compromised by the spatial variation of pencil-beam scatter kernel (PBSK) due to finite size, irregular external contour and heterogeneity of the imaged object. This study aims to propose an analytical method to quantify the Compton single scatter (CSS) component of the PBSK, which dominates the spatial distribution of total scatter assuming that multiple scatter can be estimated as a constant background and Rayleigh scatter is the secondary source of scatter. The CSS component of PBSK is the line integration of scatter production by incident primary photons along the beam line followed by the post-scattering attenuation as the scattered photons traverse the object. We propose to separate the object-specific attenuation term from the line integration and equivalently replace it with an average value such that the line integration of scatter production is object independent but only beam specific. We derived a quartic function formula as an approximate solution to the spatial distribution of the unattenuated CSS component of PBSK. The “effective scattering center” is introduced to calculate the average attenuation. The proposed analytical framework to calculate the CSS was evaluated using parameter settings of the On-Board Imager kV-CBCT system and was found to be in high agreement with the reference results. The proposed method shows highly increased computational efficiency compared to conventional analytical calculation methods based on point scattering model. It is also potentially useful for correcting the spatial variant PBSK in adaptive superposition method.

References

[1]  Rührnschopf, E. and Klingenbeck, K. (2011) A General Framework and Review of Scatter Correction Methods in X-ray Cone-Beam Computerized Tomography. Part 1: Scatter Compensation Approaches. Medical Physics, 38, 4296-4311.
https://doi.org/10.1118/1.3599033
[2]  Rührnschopf, E. and Klingenbeck, K. (2011) A General Framework and Review of Scatter Correction Methods in Cone Beam CT. Part 2: Scatter Estimation Approaches. Medical Physics, 38, 5186-5199.
https://doi.org/10.1118/1.3589140
[3]  Siewerdsen, J.H. and Jaffray, D.A. (2001) Cone-Beam Computed Tomography with a Flat-Panel Imager: Magnitude and Effects of X-ray Scatter. Medical Physics, 28, 220-231.
https://doi.org/10.1118/1.1339879
[4]  Attix, F.H. (2004) Introduction to Radiological physics and Radiation Dosimetry. Wiley-VCH, Weinheim.
[5]  Kyriakou, Y., Riedel, T. and Kalender, W.A. (2006) Combining Deterministic and Monte Carlo Calculations for Fast Estimation of Scatter Intensities in CT. Physics in Medicine & Biology, 51, 4567-4586.
https://doi.org/10.1088/0031-9155/51/18/008
[6]  Yao, W. and Leszczynski, K.W. (2009) An Analytical Approach to Estimating the First Order X-ray Scatter in Heterogeneous Medium. Medical Physics, 36, 3145-3156.
https://doi.org/10.1118/1.3152114
[7]  Ingleby, H.R., Elbakri, I.A., Rickey, D.W. and Pistorius, S. (2009) Analytical Scatter Estimation for Cone-Beam Computed Tomography. Proceeding of SPIE 7258, Physics of Medical Imaging, Physics of Medical Imaging, 725839.
https://doi.org/10.1117/12.813804
[8]  Baer, M. and Kachelrie, M. (2012) Hybrid Scatter Correction for CT Imaging. Physics in Medicine & Biology, 57, 6849-6867.
https://doi.org/10.1088/0031-9155/57/21/6849
[9]  Gong, H., Yan, H., Jia, X., Li, B., Wang, G. and Cao, G. (2017) X-ray Scatter Correction for Multi-Source Interior Computed Tomography. Medical Physics, 44, 71-83.
https://doi.org/10.1002/mp.12022
[10]  Ouyang, L., Song, K. and Wang, J. (2013) A Moving Blocker System for Cone-Beam Computed Tomography Scatter Correction. Medical Physics, 40, Article ID: 071903.
https://doi.org/10.1117/12.2008095
[11]  Chen, Y., Song, Y., Ma, J. and Zhao, J. (2016) Optimization-Based Scatter Estimation Using Primary Modulation for Computed Tomography. Medical Physics, 43, 4753-4767.
https://doi.org/10.1118/1.4958680
[12]  Thing, R.S. and Mainegra-Hing, E. (2014) Optimizing Cone Beam CT Scatter Estimation in egs_cbct for a Clinical and Virtual Chest Phantom. Medical Physics, 41, Article ID: 071902.
https://doi.org/10.1118/1.4881142
[13]  Watson, P.G.F., Mainegra-Hing, E., Tomic, N. and Seuntjens, J. (2015) Implementation of an Efficient Monte Carlo Calculation for CBCT Scatter Correction: Phantom Study. Journal of Applied Clinical Medical Physics, 16, 216-227.
https://doi.org/10.1120/jacmp.v16i4.5393
[14]  Jia, X., Yan, H., Cervino, L., Folkerts, M. and Jiang, S.B. (2012) A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections. Medical Physics, 39, 7368-7378.
https://doi.org/10.1118/1.4766436
[15]  Xu, Y., Bai, T., Yan, H., Ouyang, L., Pompos, A. and Wang, J. (2015) A Practical Cone-Beam CT Scatter Correction Method with Optimized Monte Carlo Simulations for Image-Guided Radiation Therapy. Physics in Medicine & Biology, 60, 3567-3587.
https://doi.org/10.1088/0031-9155/60/9/3567
[16]  Sun, M. and Star-Lack, J.M. (2010) Improved Scatter Correction Using Adaptive Scatter Kernel Superposition. Physics in Medicine & Biology, 55, 6695-6720.
https://doi.org/10.1088/0031-9155/55/22/007
[17]  Zhao, W., Brunner, S., Niu, K., Schafer, S., Royalty, K. and Chen, G. (2014) A Patient-Specific Scatter Artifacts Correction Method. Proceedings of SPIE 9033, Physics of Medical Imaging, 903310.
[18]  Spies, L., Evans, P.M., Partridge, M., Hansen, V.N. and Bortfeld, T. (2000) Direct Measurement and Analytical Modeling of Scatter in Portal Imaging. Medical Physics, 27, 462-471.
https://doi.org/10.1118/1.598914
[19]  Yao, W. and Leszczynski, K.W. (2009b) An Analytical Approach to Estimating the First Order Scatter in Heterogeneous Medium. II. A Practical Application. Medical Physics, 36, 3157-3167.
https://doi.org/10.1118/1.3152115
[20]  Ding, G.X. and Coffey, C.W. (2010) Beam Characteristics and Radiation Output of a Kilovoltage Cone-Beam CT. Physics in Medicine & Biology, 55, 5231-5248.
https://doi.org/10.1088/0031-9155/55/17/022
[21]  Bourland, J.D. and Liu, J. (2017) Systems and Methods for Improving Image Quality in Cone Beam Computed Tomography. United States Patent US 9,615,807 B2.

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