Skip to main content
SpringerLink
Log in

Respiratory Motion Correction in Cone-Beam CT for Image-Guided Radiotherapy

  • Chapter
  • First Online:
Book cover 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

  • 1928 Accesses

Abstract

Cone-beam CT has been integrated with the linear accelerator for image-guided radiotherapy, i.e., the accurate assessment and correction of the target position prior to treatment delivery. The slowness of these cone-beam CT scanners, which rotate at less than 1 rpm, induces respiratory motion artifacts if the patient can breath freely during the acquisition. As in conventional CT, several techniques have been proposed to correct for these artifacts. Respiration-correlated cone-beam CT assumes that respiratory motion is periodic to sort the cone-beam projection images in subsets according to a respiratory signal, and reconstructs from each subset the corresponding phase of the respiratory cycle, resulting in a 4D cone-beam CT image. A more advanced solution is motion-compensated cone-beam CT which necessitates an estimate of the respiratory motion during the cone-beam acquisition to compensate for the respiratory motion during the reconstruction from all the cone-beam projection images. This chapter is an overview of these recent developments for correction of respiratory motion in cone-beam CT for image-guided radiotherapy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Andersen, A., Kak, A.: Simultaneous algebraic reconstruction technique (SART): a superior implementation of the art algorithm. Ultrason. Imaging 6(1), 81–94 (1984)

    Google Scholar 

  2. Bergner, F., Berkus, T., Oelhafen, M., Kunz, P., Pan, T., Grimmer, R., Ritschl, L., Kachelriess, M.: An investigation of 4D cone-beam CT algorithms for slowly rotating scanners. Med. Phys. 37(9), 5044–5053 (2010)

    Article  Google Scholar 

  3. Bergner, F., Berkus, T., Oelhafen, M., Kunz, P., Pan, T., Kachelriess, M.: Autoadaptive phase-correlated (AAPC) reconstruction for 4D CBCT. Med. Phys. 36(12), 5695–5706 (2009)

    Article  Google Scholar 

  4. Bissonnette, J.P., Franks, K., Purdie, T., Moseley, D., Sonke, J.J., Jaffray, D., Dawson, L., Bezjak, A.: Quantifying interfraction and intrafraction tumor motion in lung stereotactic body radiotherapy using respiration-correlated cone beam computed tomography. Int. J. Radiat. Oncol. Biol. Phys. 75(3), 688–695 (2009)

    Article  Google Scholar 

  5. Blessing, M., Stsepankou, D., Wertz, H., Arns, A., Lohr, F., Hesser, J., Wenz, F.: Breath-hold target localization with simultaneous kilovoltage/megavoltage cone-beam computed tomography and fast reconstruction. Int. J. Radiat. Oncol. Biol. Phys. 78(4), 1219–1226 (2010)

    Article  Google Scholar 

  6. Blondel, C., Vaillant, R., Malandain, G., Ayache, N.: 3D tomographic reconstruction of coronary arteries using a precomputed 4D motion field. Phys. Med. Biol. 49(11), 2197–2208 (2004)

    Article  Google Scholar 

  7. Case, R., Moseley, D., Sonke, J.J., Eccles, C., Dinniwell, R., Kim, J., Bezjak, A., Milosevic, M., Brock, K., Dawson, L.: Interfraction and intrafraction changes in amplitude of breathing motion in stereotactic liver radiotherapy. Int. J. Radiat. Oncol. Biol. Phys. 77(3), 918–925 (2010)

    Article  Google Scholar 

  8. Case, R., Sonke, J.J., Moseley, D., Kim, J., Brock, K., Dawson, L.: Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy. Int. J. Radiat. Oncol. Biol. Phys. 75(1), 302–308 (2009)

    Article  Google Scholar 

  9. Chang, J., Mageras, G., Yorke, E., De Arruda, F., Sillanpaa, J., Rosenzweig, K., Hertanto, A., Pham, H., Seppi, E., Pevsner, A., Ling, C., Amols, H.: Observation of interfractional variations in lung tumor position using respiratory gated and ungated megavoltage cone-beam computed tomography. Int. J. Radiat. Oncol. Biol. Phys. 67(5), 1548–1558 (2007)

    Article  Google Scholar 

  10. Chang, J., Sillanpaa, J., Ling, C., Seppi, E., Yorke, E., Mageras, G., Amols, H.: Integrating respiratory gating into a megavoltage cone-beam CT system. Med. Phys. 33(7), 2354–2361 (2006)

    Article  Google Scholar 

  11. Chen, M., Siochi, R.: Diaphragm motion quantification in megavoltage cone-beam CT projection images. Med. Phys. 37(5), 2312–2320 (2010)

    Article  Google Scholar 

  12. Chen, M., Siochi, R.: Feasibility of using respiratory correlated mega voltage cone beam computed tomography to measure tumor motion. J. Appl. Clin. Med. Phys. 12(2), 3473 (2011)

    Google Scholar 

  13. Desbat, L., Roux, S., Grangeat, P.: Compensation of some time dependent deformations in tomography. IEEE Trans. Med. Imaging 26(2), 261–269 (2007)

    Article  Google Scholar 

  14. Dietrich, L., Jetter, S., Tücking, T., Nill, S., Oelfke, U.: Linac-integrated 4D cone beam CT: first experimental results. Phys. Med. Biol. 51(11), 2939–2952 (2006)

    Article  Google Scholar 

  15. Feldkamp, L., Davis, L., Kress, J.: Practical cone-beam algorithm. J. Opt. Soc. Am. A 1(6), 612–619 (1984)

    Article  ADS  Google Scholar 

  16. Grangeat, P., Koenig, A., Rodet, T., Bonnet, S.: Theoretical framework for a dynamic cone-beam reconstruction algorithm based on a dynamic particle model. Phys. Med. Biol. 47(15), 2611–2625 (2002)

    Article  Google Scholar 

  17. Hugo, G., Liang, J., Campbell, J., Yan, D.: On-line target position localization in the presence of respiration: a comparison of two methods. Int. J. Radiat. Oncol. Biol. Phys. 69(5), 1634–1641 (2007)

    Article  Google Scholar 

  18. Isola, A., Ziegler, A., Koehler, T., Niessen, W., Grass, M.: Motion-compensated iterative cone-beam CT image reconstruction with adapted blobs as basis functions. Phys. Med. Biol. 53(23), 6777–6797 (2008)

    Article  Google Scholar 

  19. Jaffray, D., Lindsay, P., Brock, K., Deasy, J., Tomé, W.: Accurate accumulation of dose for improved understanding of radiation effects in normal tissue. Int. J. Radiat. Oncol. Biol. Phys. 76(3), S135–S139 (2010)

    Article  Google Scholar 

  20. Jaffray, D., Siewerdsen, J., Wong, J., Martinez, A.: Flat-panel cone-beam computed tomography for image-guided radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 53(5 Suppl), 1337–1349 (2002)

    Article  Google Scholar 

  21. Kak, A., Slaney, M.: Principles of Computerized Tomographic Imaging. IEEE Press, New York (1988)

    MATH  Google Scholar 

  22. Katsevich, A.: An accurate approximate algorithm for motion compensation in two-dimensional tomography. Inverse Prob. 26(6), 065,007 (2010)

    Article  MathSciNet  Google Scholar 

  23. Keall, P., Mageras, G., Balter, J., Emery, R., Forster, K., Jiang, S., Kapatoes, J., Low, D., Murphy, M., Murray, B., Ramsey, C., van Herk, M., Vedam, S., Wong, J., Yorke, E.: The management of respiratory motion in radiation oncology report of AAPM task group 76. Med. Phys. 33(10), 3874–3900 (2006)

    Article  Google Scholar 

  24. Leng, S., Tang, J., Zambelli, J., Nett, B., Tolakanahalli, R., Chen, G.H.: High temporal resolution and streak-free four-dimensional cone-beam computed tomography. Phys. Med. Biol. 53(20), 5653–5673 (2008)

    Article  Google Scholar 

  25. Leng, S., Zambelli, J., Tolakanahalli, R., Nett, B., Munro, P., Star-Lack, J., Paliwal, B., Chen, G.H.: Streaking artifacts reduction in four-dimensional cone-beam computed tomography. Med. Phys. 35(10), 4649–4659 (2008)

    Article  Google Scholar 

  26. Li, T., Koong, A., Xing, L.: Enhanced 4D cone-beam CT with inter-phase motion model. Med. Phys. 34(9), 3688–3695 (2007)

    Article  Google Scholar 

  27. Li, T., Schreibmann, E., Yang, Y., Xing, L.: Motion correction for improved target localization with on-board cone-beam computed tomography. Phys. Med. Biol. 51(2), 253–267 (2006)

    Article  Google Scholar 

  28. Li, T., Xing, L.: Optimizing 4D cone-beam CT acquisition protocol for external beam radiotherapy. Int. J. Radiat. Oncol. Biol. Phys. 67(4), 1211–1219 (2007)

    Article  MathSciNet  Google Scholar 

  29. Li, T., Xing, L., Munro, P., McGuinness, C., Chao, M., Yang, Y., Loo, B., Koong, A.: Four-dimensional cone-beam computed tomography using an on-board imager. Med. Phys. 33(10), 3825–3833 (2006)

    Article  Google Scholar 

  30. Lu, J., Guerrero, T.M., Munro, P., Jeung, A., Chi, P.C., Balter, P., Zhu, X., Mohan, R., Pan, T.: Four-dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling. Med. Phys. 34(9), 3520–3529 (2007)

    Article  Google Scholar 

  31. Markelj, P., Tomaževič, D., Likar, B., Pernuš, F.: A review of 3D/2D registration methods for image-guided interventions. Med. Image Anal. 16(3), 642–661 (2012)

    Article  Google Scholar 

  32. Martin, J., McClelland, J., Thomas, C., Wildermuth, K., Landau, D., Ourselin, S., Hawkes, D.: Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography. In: Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (2012)

    Google Scholar 

  33. Maurer, J., Godfrey, D., Wang, Z., Yin, F.F.: On-board four-dimensional digital tomosynthesis: first experimental results. Med. Phys. 35(8), 3574–3583 (2008)

    Article  Google Scholar 

  34. Maurer, J., Pan, T., Yin, F.F.: Slow gantry rotation acquisition technique for on-board four-dimensional digital tomosynthesis. Med. Phys. 37(2), 921–933 (2010)

    Article  Google Scholar 

  35. Mc Kinnon, G., Bates, R.: Towards imaging the beating heart usefully with a conventional CT scanner. IEEE Trans. Biomed. Eng. 28(2), 123–127 (1981)

    Article  Google Scholar 

  36. Pengpan, T., Qiu, W., Smith, N., Soleimani, M.: Cone beam CT using motion-compensated algebraic reconstruction methods with limited data. Comput. Methods Programs Biomed. 105(3), 246–256 (2012)

    Article  Google Scholar 

  37. Pengpan, T., Smith, N., Qiu, W., Yao, A., Mitchell, C., Soleimani, M.: A motion-compensated cone-beam CT using electrical impedance tomography imaging. Physiol. Meas. 32(1), 19–34 (2011)

    Article  Google Scholar 

  38. Purdie, T., Moseley, D., Bissonnette, J.P., Sharpe, M., Franks, K., Bezjak, A., Jaffray, D.: Respiration correlated cone-beam computed tomography and 4DCT for evaluating target motion in stereotactic lung radiation therapy. Acta Oncol. 45(7), 915–922 (2006)

    Article  Google Scholar 

  39. Qi, Z., Chen, G.H.: Extraction of tumor motion trajectories using PICCS-4DCBCT: a validation study. Med. Phys. 38(10), 5530–5538 (2011)

    Article  Google Scholar 

  40. Qi, Z., Chen, G.H.: Performance studies of four-dimensional cone beam computed tomography. Phys. Med. Biol. 56(20), 6709–6721 (2011)

    Article  Google Scholar 

  41. Reyes, M., Malandain, G., Koulibaly, P., Gonzàlez-Ballester, M., Darcourt, J.: Model-based respiratory motion compensation for emission tomography image reconstruction. Phys. Med. Biol. 52(12), 3579–3600 (2007)

    Article  Google Scholar 

  42. Rit, S., Nijkamp, J., van Herk, M., Sonke, J.J.: Comparative study of respiratory motion correction techniques in cone-beam computed tomography. Radiother. Oncol. 100(3), 356–359 (2011)

    Article  Google Scholar 

  43. Rit, S., Sarrut, D., Desbat, L.: Comparison of analytic and algebraic methods for motion-compensated cone-beam CT reconstruction of the thorax. IEEE Trans. Med. Imaging 28(10), 1513–1525 (2009)

    Article  Google Scholar 

  44. Rit, S., van Herk, M., Zijp, L., Sonke, J.J.: Quantification of the variability of diaphragm motion and implications for treatment margin construction. Int. J. Radiat. Oncol. Biol. Phys. 82(3), e399–e407 (2012)

    Article  Google Scholar 

  45. Rit, S., Wolthaus, J., van Herk, M., Sonke, J.J.: On-the-fly motion-compensated cone-beam CT using an a priori model of the respiratory motion. Med. Phys. 36(6), 2283–2296 (2009)

    Article  Google Scholar 

  46. Ritchie, C., Crawford, C., Godwin, J., King, K., Kim, Y.: Correction of computed tomography motion artifacts using pixel-specific back-projection. IEEE Trans. Med. Imaging 15(3), 333–342 (1996)

    Article  Google Scholar 

  47. Ritchie, C., Godwin, J., Crawford, C., Stanford, W., Anno, H., Kim, Y.: Minimum scan speeds for suppression of motion artifacts in CT. Radiology 185(1), 37–42 (1992)

    Google Scholar 

  48. Roux, S., Desbat, L., Koenig, A., Grangeat, P.: Exact reconstruction in 2D dynamic CT: compensation of time-dependent affine deformations. Phys. Med. Biol. 49(11), 2169–2182 (2004)

    Article  Google Scholar 

  49. Santoro, J., Kriminski, S., Lovelock, D., Rosenzweig, K., Mostafavi, H., Amols, H., Mageras, G.: Evaluation of respiration-correlated digital tomosynthesis in lung. Med. Phys. 37(3), 1237–1245 (2010)

    Article  Google Scholar 

  50. Sidky, E., Pan, X.: Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization. Phys. Med. Biol. 53(17), 4777–4807 (2008)

    Article  Google Scholar 

  51. Sonke, J.J., Belderbos, J.: Adaptive radiotherapy for lung cancer. Semin. Radiat. Oncol. 20(2), 94–106 (2010)

    Article  Google Scholar 

  52. Sonke, J.J., Lebesque, J., van Herk, M.: Variability of four-dimensional computed tomography patient models. Int. J. Radiat. Oncol. Biol. Phys. 70(2), 590–598 (2008)

    Article  Google Scholar 

  53. Sonke, J.J., Rossi, M., Wolthaus, J., van Herk, M., Damen, E., Belderbos, J.: Frameless stereotactic body radiotherapy for lung cancer using four-dimensional cone beam CT guidance. Int. J. Radiat. Oncol. Biol. Phys. 74(2), 567–574 (2009)

    Article  Google Scholar 

  54. Sonke, J.J., Zijp, L., Remeijer, P., van Herk, M.: Respiratory correlated cone beam CT. Med. Phys. 32(4), 1176–1186 (2005)

    Article  Google Scholar 

  55. Taguchi, K., Kudo, H.: Motion compensated fan-beam reconstruction for nonrigid transformation. IEEE Trans. Med. Imaging 27(7), 907–917 (2008)

    Article  Google Scholar 

  56. Thompson, B., Hugo, G.: Quality and accuracy of cone beam computed tomography gated by active breathing control. Med. Phys. 35(12), 5595–5608 (2008)

    Article  Google Scholar 

  57. Tuy, H.: An inversion formula for cone-beam reconstruction. SIAM J. Appl. Math. 43, 91–100 (1983)

    Article  MathSciNet  Google Scholar 

  58. van Herk, M.: Different styles of image-guided radiotherapy. Semin. Radiat. Oncol. 17(4), 258–267 (2007)

    Article  Google Scholar 

  59. Vandemeulebroucke, J., Kybic, J., Clarysse, P., Sarrut, D.: Respiratory motion estimation from cone-beam projections using a prior model. Med. Image Comput. Comput. Assist. Interv. 12(Pt 2), 365–372 (2009)

    Google Scholar 

  60. Wertz, H., Stsepankou, D., Blessing, M., Rossi, M., Knox, C., Brown, K., Gros, U., Boda-Heggemann, J., Walter, C., Hesser, J., Lohr, F., Wenz, F.: Fast kilovoltage/megavoltage (kVMV) breathhold cone-beam CT for image-guided radiotherapy of lung cancer. Phys. Med. Biol. 55(15), 4203–4217 (2010)

    Article  Google Scholar 

  61. Zeng, R., Fessler, J., Balter, J.: Respiratory motion estimation from slowly rotating X-ray projections: theory and simulation. Med. Phys. 32(4), 984–991 (2005)

    Article  Google Scholar 

  62. Zeng, R., Fessler, J., Balter, J.: Estimating 3-D respiratory motion from orbiting views by tomographic image registration. IEEE Trans. Med. Imaging 26(2), 153–163 (2007)

    Article  Google Scholar 

  63. Zhang, Q., Hu, Y.C., Liu, F., Goodman, K., Rosenzweig, K., Mageras, G.: Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model. Med. Phys. 37(6), 2901–2909 (2010)

    Article  Google Scholar 

  64. Zijp, L., Sonke, J.J., van Herk, M.: Extraction of the respiratory signal from sequential thorax cone-beam X-ray images. In: International Conference on the Use of Computers in Radiation Therapy (ICCR), pp. 507–509. Jeong Publishing, Seoul (2004)

    Google Scholar 

Download references

Open Access

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Author information

Authors and Affiliations

  1. Université de Lyon, CREATIS, CNRS UMR5220; Inserm U1044, INSA-Lyon, Université Lyon 1, Centre Léon Bérard, Lyon, France

    Simon Rit & David Sarrut

  2. Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands

    Jan-Jakob Sonke

Authors
  1. Simon Rit
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. David Sarrut
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jan-Jakob Sonke
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Simon Rit .

Editor information

Editors and Affiliations

  1. , Institut für Medizinische Informatik, Universität Lübeck, Ratzeburger Allee 160, Lübeck, 23538, Germany

    Jan Ehrhardt

  2. Forschungslaboratorien, Digital Imaging 24, Philips Technologie GmbH, Röntgenstraße 24 - 26, Hamburg, 22335, Germany

    Cristian Lorenz

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Rit, S., Sarrut, D., Sonke, JJ. (2013). Respiratory Motion Correction in Cone-Beam CT for Image-Guided Radiotherapy. In: Ehrhardt, J., Lorenz, C. (eds) 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36441-9_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36441-9_14

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36440-2

  • Online ISBN: 978-3-642-36441-9

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics

Search

Navigation