Advertisement

Further Developments in PET Motion Correction

  • Fabian Gigengack
  • Xiaoyi Jiang
  • Mohammad Dawood
  • Klaus P. Schäfers
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

We have discussed methods for PET motion estimation and motion correction in the previous chapters. In particular, a priori knowledge about the image generation process, in terms of mass-preservation, was utilized to improve the motion estimates needed for the advanced correction pipelines. This chapter gives an outlook of potential improvements and modifications of the presented methods and future advances of PET motion correction in general.

Keywords

Motion Estimation Respiratory Motion Motion Correction Respiratory Gating Cardiac Gating 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 21.
    C. Buerger, C. Tsoumpas, A. Aitken, A.P. King, P. Schleyer, V. Schulz, P.K. Marsden, T. Schaeffter, Investigation of MR-based attenuation correction and motion compensation for hybrid PET/MR. IEEE Trans. Nucl. Sci. 59(5), 1967–1976 (2012)CrossRefGoogle Scholar
  2. 24.
    F. Büther, I. Ernst, J. Hamill, H.T. Eich, O. Schober, M. Schäfers, K.P. Schäfers, External radioactive markers for pet data-driven respiratory gating in positron emission tomography. Eur. J. Nucl. Med. Mol. Imaging 40(4), 602–614 (2013)CrossRefGoogle Scholar
  3. 26.
    R.E. Carson, Tracer kinetic modeling in PET, in Positron Emission Tomography: Basic Sciences (Springer, New York, 2005), pp. 127–159Google Scholar
  4. 36.
    M. Dawood, F. Büther, L. Stegger, X. Jiang, O. Schober, M. Schäfers, K.P. Schäfers, Optimal number of respiratory gates in positron emission tomography: a cardiac patient study. Med. Phys. 36(5), 1775–1784 (2009)CrossRefGoogle Scholar
  5. 37.
    M. Dawood, F. Gigengack, X. Jiang, K.P. Schäfers, A mass conservation-based optical flow method for cardiac motion correction in 3D-PET. Med. Phys. 40(1), 012505 (2013)Google Scholar
  6. 39.
    N. Dikaios, D. Izquierdo-Garcia, M.J. Graves, V. Mani, Z.A. Fayad, T.D. Fryer, MRI-based motion correction of thoracic PET: initial comparison of acquisition protocols and correction strategies suitable for simultaneous PET/MRI systems. Eur. Radiol. 22(2), 439–446 (2012)CrossRefGoogle Scholar
  7. 43.
    M. Fieseler, F. Gigengack, X. Jiang, K.P. Schäfers, Motion correction of whole-body PET data with a joint PET-MRI registration functional. BioMed. Eng. Online 13(1), S2 (2014)Google Scholar
  8. 45.
    M. Fieseler, H. Kugel, F. Gigengack, T. Kösters, F. Büther, H.H. Quick, C. Faber, X. Jiang, K.P. Schäfers, A dynamic thorax phantom for the assessment of cardiac and respiratory motion correction in PET/MRI: a preliminary evaluation. Nucl. Instrum. Methods Phys. Res. Sect. A: Accel. Spectrom. Detect. Assoc. Equip. 702, 59–63 (2013)CrossRefGoogle Scholar
  9. 51.
    F. Gigengack, L. Ruthotto, M. Burger, C.H. Wolters, X. Jiang, K.P. Schäfers, Motion correction in dual gated cardiac PET using mass-preserving image registration. IEEE Trans. Med. Imaging 31(3), 698–712 (2012)CrossRefGoogle Scholar
  10. 62.
    J.J. Hamill, V.Y. Panin, TOF-MLAA for attenuation correction in thoracic PET/CT, in IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Anaheim, 2012, pp. 4040–4047Google Scholar
  11. 70.
    A.L. Kesner, G. Abourbeh, E. Mishani, R. Chisin, S. Tshori, N. Freedman, Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET. EJNMMI Res. 3(1), 29 (2013)Google Scholar
  12. 73.
    J.K. Klein, R.H. Huesman, Four dimensional processing of deformable cardiac PET data. Med. Image Anal. 6(1), 29–46 (2002)CrossRefGoogle Scholar
  13. 74.
    G.J. Klein, B.W. Reutter, M.H. Ho, J.H. Reed, R.H. Huesman, Real-time system for respiratory-cardiac gating in positron tomography. IEEE Trans. Nucl. Sci. 45(4), 2139–2143 (1998)CrossRefGoogle Scholar
  14. 83.
    L. Li, Y. Yang, Optical flow estimation for a periodic image sequence. IEEE Trans. Image Process. 19(1), 1–10 (2010)MathSciNetCrossRefGoogle Scholar
  15. 102.
    J. Nuyts, G. Bal, F. Kehren, M. Fenchel, C. Michel, C. Watson, Completion of a truncated attenuation image from the attenuated PET emission data. IEEE Trans. Med. Imaging 32(2), 237–246 (2013)CrossRefGoogle Scholar
  16. 103.
    J. Nuyts, P. Dupont, S. Stroobants, R. Benninck, L. Mortelmans, P. Suetens, Simultaneous maximum a posteriori reconstruction of attenuation and activity distributions from emission sinograms. IEEE Trans. Med. Imaging 18(5), 393–403 (1999)CrossRefGoogle Scholar
  17. 113.
    A. Rezaei, M. Defrise, G. Bal, C. Michel, M. Conti, C. Watson, J. Nuyts, Simultaneous reconstruction of activity and attenuation in time-of-flight PET. IEEE Trans. Med. Imaging 31(12), 2224–2233 (2012)CrossRefGoogle Scholar
  18. 114.
    C. Rischpler, S.G. Nekolla, I. Dregely, M. Schwaiger, Hybrid PET/MR imaging of the heart: potential, initial experiences, and future prospects. J. Nucl. Med. 54(3), 402–415 (2013)CrossRefGoogle Scholar
  19. 120.
    K.C. Schmidt, F.E. Turkheimer, Kinetic modeling in positron emission tomography. Q. J. Nucl. Med. 46(1), 70–85 (2002)Google Scholar
  20. 127.
    M. Teräs, T. Kokki, N. Durand-Schaefer, T. Noponen, M. Pietilä, J. Kiss, E. Hoppela, H. Sipilä, J. Knuuti, Dual-gated cardiac PET–clinical feasibility study. Eur. J. Nucl. Med. Mol. Imaging 37, 505–516 (2010)CrossRefGoogle Scholar
  21. 136.
    C. Würslin, H. Schmidt, P. Martirosian, C. Brendle, A. Boss, N.F. Schwenzer, L. Stegger, Respiratory motion correction in oncologic PET using T1-weighted MR imaging on a simultaneous whole-body PET/MR system. J. Nucl. Med. 54(3), 464–471 (2013)CrossRefGoogle Scholar

Copyright information

© The Author(s) 2015

Authors and Affiliations

  • Fabian Gigengack
    • 1
  • Xiaoyi Jiang
    • 1
  • Mohammad Dawood
    • 2
  • Klaus P. Schäfers
    • 2
  1. 1.Department of Mathematics and Computer ScienceUniversity of MünsterMünsterGermany
  2. 2.European Institute for Molecular ImagingUniversity of MünsterMünsterGermany

Personalised recommendations