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Structure-Guided Nonrigid Registration of CT–MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy

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Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2013)

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Abstract

Multimodal registration of CT and MR scans is a required step in leading edge adaptive MR-based image guided radiation therapy protocols. Yet, anatomical changes limit the precision of the registration process and therefore that of the whole intervention. In prostate radiation therapy, the difference in bladder and rectum filling can significantly displace both the targeted area and the organs at risk. Here, we describe a method that integrates an image-based similarity criterion with the anatomical information from manual contours to guide the registration process toward an accurate solution. Whole pelvis CT and MR scans of 33 patients have been nonrigidly registered, and the proposed method leads to an average improvement of 0.17 DSC when compared to a baseline nonrigid registrations. The increased accuracy will thus enhance an MR-based prostate radiation therapy protocol.

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References

  1. Andronache, A., von Siebenthal, M., Székely, G., Cattin, P.: Non-rigid registration of multi-modal images using both mutual information and cross-correlation. Med. Image Anal. 12(1), 3–15 (2008)

    Article  Google Scholar 

  2. Bezrukov, I., Mantlik, F., Schmidt, H.: MR-based PET attenuation correction for PET/MR imaging. Semin. Nucl. Med. 43(1), 45–59 (2013)

    Article  Google Scholar 

  3. Chandra, S.S., Dowling, J.A., Shen, K.K., Raniga, P., Pluim, J.P.W., Greer, P.B., Salvado, O., Fripp, J.: Patient Specific prostate segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Med. Imag. 31(10), 1955–1964 (2012)

    Article  Google Scholar 

  4. Dean, C.J., Sykes, J.R., Cooper, R.A., Hatfield, P., Carey, B., Swift, S., Bacon, S.E., Thwaites, D., Sebag-Montefiore, D., Morgan, A.M.: An evaluation of four CT-MRI co-registration techniques for radiotherapy treatment planning of prone rectal cancer patients. Br. J. Radiol. 85(1009), 61-8 (2012)

    Article  Google Scholar 

  5. Dowling, J., Lambert, J., Parker, J., Salvado, O., Fripp, J., Capp, A., Wratten, C., Denham, J.W., Greer, P.B.: An atlas-based electron density mapping method for magnetic resonance imaging MRI-alone treatment planning and adaptive MRI-based prostate radiation therapy. Int. J. Radiat. Oncol. Biol. Physics 83(1), e5–e11 (2012)

    Article  Google Scholar 

  6. Fei, B., Duerk, J.L., Sodee, D.B., Wilson, D.L.: Semiautomatic nonrigid registration for the prostate and pelvic MR volumes. Acad. radiol. 12(7), 815–824 (2005)

    Article  Google Scholar 

  7. Hofmann, M., Schölkopf, B., Bezrukov, I., Cahill, N.: Incorporating prior knowledge on class probabilities into local similarity measures for intermodality image registration. In: Proceedings of the MICCAI 2009 Workshop on Probabilistic Models for Medical Image Analysis (PMMIA 2009), pp. 220–231 (2009)

    Google Scholar 

  8. Khan, A.R., Wang, L., Beg, M.F.: Multistructure large deformation diffeomorphic brain registration. IEEE TBME 60(2), 544–553 (2013)

    Google Scholar 

  9. Modat, M., Ridgway, G.R., Taylor, Z.A., Lehmann, M., Barnes, J., Hawkes, D.J., Fox, N.C., Ourselin, S.: Fast free-form deformation using graphics processing units. Comput. Methods Programs Biomed. 98(3), 278–284 (2010)

    Article  Google Scholar 

  10. Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.: Mutual-information-based registration of medical images: a survey. IEEE TMI 22(8), 986–1004 (2003)

    Google Scholar 

  11. Rasch, C., Barillot, I., Remeijer, P., Touw, A., van Herk, M., Lebesque, J.V.: Definition of the prostate in CT and MRI: a multi-observer study. Int. J. Radiat. Oncol. Biol. Physics 43(1), 57–66 (1999)

    Article  Google Scholar 

  12. Rivest-Henault, D., Dowson, N., Greer, P., Dowling, J.: Inverse-consistent rigid registration of CT and MR for MR-based planning and adaptive prostate radiation therapy. IOP Journal of Physics (2013) (accepted)

    Google Scholar 

  13. Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imag. 18(8), 712–721 (1999)

    Article  Google Scholar 

  14. Rueckert, D., Aljabar, P., Heckemann, R.A., Hajnal, J.V., Hammers, A.: Diffeomorphic registration using B-splines. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 702–709. Springer, Heidelberg (2006)

    Google Scholar 

  15. Sled, J.G., Zijdenbos, A.P., Evans, A.C.: A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imag. 17(1), 87–97 (1998)

    Article  Google Scholar 

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Acknowledgments

This research was supported by the Cancer Council NSW (RG 11-05), the Prostate Cancer Foundation of Australia (YI2011), Movember and Cure Cancer Australia.

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Correspondence to David Rivest-Hénault .

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Rivest-Hénault, D., Greer, P., Fripp, J., Dowling, J. (2014). Structure-Guided Nonrigid Registration of CT–MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy. In: Erdt, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2013. Lecture Notes in Computer Science(), vol 8361. Springer, Cham. https://doi.org/10.1007/978-3-319-05666-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-05666-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05665-4

  • Online ISBN: 978-3-319-05666-1

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