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A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT)

Received: 7 December 2019     Accepted: 18 January 2020     Published: 15 June 2020
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Abstract

A robust method for voxel by voxel enhancement of Cone-beam CT (CBCT) images using a priori knowledge from the planning Computed Tomography (pCT) scan has been developed and used to evaluate the dosimetric accuracy of pCT based CBCT correction method for SBRT dose verification in lung metastasis. This is a retrospective study under which SBRT is carried out in 10 patients presented with lung metastasis. pCT images of patients were acquired and treatment planning was carried out on Varian Eclipse (V11) for 30 Gy in 5 fractions. Daily imaging using CBCT has been done for each patient with an On-Board Imaging system. CBCT is corrected using Matlab function considering CT as fixed and CBCT as moving, the images are registered. Planning target volume (PTV), lung, heart and spine were recontoured on uncorrected CBCT and corrected CBCT separately and the calculated plan on CT is recalculated on both the CBCTs. The dose distribution between the pCT and both the CBCT images were compared. A paired sample test was performed to test the variations. The distribution of pixel intensity of corrected CBCT is closer to the pCT than the uncorrected CBCT. The maximum percentage difference between the corrected CBCT and pCT is 1% in PTV evaluation, which is 3.5% between uncorrected CBCT and pCT. The method increases the accuracy of CBCT density values and enabling the use of CBCT images for dose calculation in radiotherapy.

Published in International Journal of Clinical Oncology and Cancer Research (Volume 5, Issue 2)
DOI 10.11648/j.ijcocr.20200502.13
Page(s) 29-33
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

CBCT Image Correction, SBRT, MATLAB, Lung

References
[1] J. H. Siewerdsen and D. A. Jaffray, "Cone-beam computed tomography with a flat panel imager: magnitude and effects of x-ray scatter." Med Phys, vol. 28, no. 2, pp. 220-231, Feb 2001.
[2] Hatton J, McCurdy B, Greer PB. Cone beam computerized tomography: the effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy. Phys Med Biol. 2009; 54 (15): N329–46.
[3] Fotina I, Hopfgartner J, Stock M, Steininger T, Lutgendorf-Caucig C, Georg D: Feasibility of CBCT-based dose calculation: comparative analysis of HU adjustment techniques. Radiother Oncol 2012, 104: 249-256. 10.1016/j.radonc.2012.06.007.
[4] Zhu L, Xie Y, Wang J, Xing L. Scatter correction for cone-beam CT in radiation therapy. Med Phys. 2009: 36 (6): 2258–68.
[5] Niu, T., et al., Shading correction for on-board cone-beam CT in radiation therapy using planning MDCT images. Med Phys, 2010. 37 (10): p. 5395-406.
[6] Wang J, Hu W, Cai G et al. Using corrected cone-beam CT image for accelerated partial breast irradiation treatment dose verification: the preliminary experience. Radiat Oncol 2013; 8: 214–222.
[7] Zijtveld, M. van, Dirkx, M., Heijmen, B., “Correction of conebeam CT values using a planning CT for derivation of the dose of the day," Radiotherapy and Oncology 85 (2), 195-200 (2007).
[8] Marchant, T. E., Moore, C. J., Rowbottom, C. G., MacKay, R. I., Williams, P. C., “Shading correction algorithm for improvement of cone-beam CT images in radiotherapy." Physics in Medicine and Biology 53 (20), 5719{5733 (2008).
[9] Fan, Q., Lu, B., Park, J. C., Niu, T., Li, J. G., Liu, C., Zhu, L., “Image-domain shading correction for cone-beam CT without prior patient information," Journal of Applied Clinical Medical Physics 16 (6) (2015).
[10] Vanderstraeten B, Chin PW, Fix M, Leal A, Mora G, Reynaert N, et al. Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: A multicentre study. Phys Med Biol 2007; 52: 539–62.
[11] Poludniowski GG, Evans PM, Webb S: Cone beam computed tomography number errors and consequences for radiotherapy planning: an investigation of correction methods. Int J Radiat Oncol Biol Phys 2012, 84: e109-e114. 10.1016/j.ijrobp.2012.02.019.
[12] R. Baker, G. Han, S. Sarangkasiri, M. DeMarco, C. Turke, C. Stevens and T. Dilling, "Clinical and Dosimetric Predictors of Radiation Pneumonitis in a Large Series of Patients Treated With Stereotactic Body Radiation Therapy to the Lung," International Journal of Radiation Oncology* Biology* Physics, 2012.
[13] Rinkel J, Gerfault L, Esteve F, Dinten JM. A new method for x-ray scatters correction: first assessment on a cone-beam CT experimental setup. Phys Med Biol. 2017 (15): 4633-4652.
[14] Michael MacFarlane, Daniel Wong, Douglas A. et al. Patient-specific calibration of cone-beam computed tomography data sets for radiotherapy dose calculations and treatment plan assessment. J Appl Clin Med Phys. 2018 Mar; 19 (2): 249–257.
[15] Schmidt ML, Hoffmann L, Kandi M, Moller DS, Poulsen PR. Dosimetric impact of respiratory motion, interfraction baseline shifts, and anatomical changes in radiotherapy of non-small cell lung cancer. Acta Oncol 2013; 52: 1490–6.
Cite This Article
  • APA Style

    Roopam Srivastava, Shiva Gaur, Pramod Kumar Sharma, Manoj Sharma, Deepika Chauhan, et al. (2020). A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT). International Journal of Clinical Oncology and Cancer Research, 5(2), 29-33. https://doi.org/10.11648/j.ijcocr.20200502.13

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    ACS Style

    Roopam Srivastava; Shiva Gaur; Pramod Kumar Sharma; Manoj Sharma; Deepika Chauhan, et al. A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT). Int. J. Clin. Oncol. Cancer Res. 2020, 5(2), 29-33. doi: 10.11648/j.ijcocr.20200502.13

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    AMA Style

    Roopam Srivastava, Shiva Gaur, Pramod Kumar Sharma, Manoj Sharma, Deepika Chauhan, et al. A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT). Int J Clin Oncol Cancer Res. 2020;5(2):29-33. doi: 10.11648/j.ijcocr.20200502.13

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  • @article{10.11648/j.ijcocr.20200502.13,
      author = {Roopam Srivastava and Shiva Gaur and Pramod Kumar Sharma and Manoj Sharma and Deepika Chauhan and Neha Sehgal and K Joseph Maria Das and Jayanand Manjhi},
      title = {A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT)},
      journal = {International Journal of Clinical Oncology and Cancer Research},
      volume = {5},
      number = {2},
      pages = {29-33},
      doi = {10.11648/j.ijcocr.20200502.13},
      url = {https://doi.org/10.11648/j.ijcocr.20200502.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijcocr.20200502.13},
      abstract = {A robust method for voxel by voxel enhancement of Cone-beam CT (CBCT) images using a priori knowledge from the planning Computed Tomography (pCT) scan has been developed and used to evaluate the dosimetric accuracy of pCT based CBCT correction method for SBRT dose verification in lung metastasis. This is a retrospective study under which SBRT is carried out in 10 patients presented with lung metastasis. pCT images of patients were acquired and treatment planning was carried out on Varian Eclipse (V11) for 30 Gy in 5 fractions. Daily imaging using CBCT has been done for each patient with an On-Board Imaging system. CBCT is corrected using Matlab function considering CT as fixed and CBCT as moving, the images are registered. Planning target volume (PTV), lung, heart and spine were recontoured on uncorrected CBCT and corrected CBCT separately and the calculated plan on CT is recalculated on both the CBCTs. The dose distribution between the pCT and both the CBCT images were compared. A paired sample test was performed to test the variations. The distribution of pixel intensity of corrected CBCT is closer to the pCT than the uncorrected CBCT. The maximum percentage difference between the corrected CBCT and pCT is 1% in PTV evaluation, which is 3.5% between uncorrected CBCT and pCT. The method increases the accuracy of CBCT density values and enabling the use of CBCT images for dose calculation in radiotherapy.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - A Method to Correct Cone Beam CT (CBCT) Images Using Planning CT for Derivation of Plan of the Day in STEREOTACTIC Body Radiotherapy (SBRT)
    AU  - Roopam Srivastava
    AU  - Shiva Gaur
    AU  - Pramod Kumar Sharma
    AU  - Manoj Sharma
    AU  - Deepika Chauhan
    AU  - Neha Sehgal
    AU  - K Joseph Maria Das
    AU  - Jayanand Manjhi
    Y1  - 2020/06/15
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    DO  - 10.11648/j.ijcocr.20200502.13
    T2  - International Journal of Clinical Oncology and Cancer Research
    JF  - International Journal of Clinical Oncology and Cancer Research
    JO  - International Journal of Clinical Oncology and Cancer Research
    SP  - 29
    EP  - 33
    PB  - Science Publishing Group
    SN  - 2578-9511
    UR  - https://doi.org/10.11648/j.ijcocr.20200502.13
    AB  - A robust method for voxel by voxel enhancement of Cone-beam CT (CBCT) images using a priori knowledge from the planning Computed Tomography (pCT) scan has been developed and used to evaluate the dosimetric accuracy of pCT based CBCT correction method for SBRT dose verification in lung metastasis. This is a retrospective study under which SBRT is carried out in 10 patients presented with lung metastasis. pCT images of patients were acquired and treatment planning was carried out on Varian Eclipse (V11) for 30 Gy in 5 fractions. Daily imaging using CBCT has been done for each patient with an On-Board Imaging system. CBCT is corrected using Matlab function considering CT as fixed and CBCT as moving, the images are registered. Planning target volume (PTV), lung, heart and spine were recontoured on uncorrected CBCT and corrected CBCT separately and the calculated plan on CT is recalculated on both the CBCTs. The dose distribution between the pCT and both the CBCT images were compared. A paired sample test was performed to test the variations. The distribution of pixel intensity of corrected CBCT is closer to the pCT than the uncorrected CBCT. The maximum percentage difference between the corrected CBCT and pCT is 1% in PTV evaluation, which is 3.5% between uncorrected CBCT and pCT. The method increases the accuracy of CBCT density values and enabling the use of CBCT images for dose calculation in radiotherapy.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, IOSPL, Fortis Hospital, Noida, India

  • Department of Radiation Oncology, Sanjay Gandhi Post Graduate Institute, Lucknow, India

  • Department of Biomedical Engineering, Shobhit University, Merrut, India

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