Polychromatic Maximum Likelihood Reconstruction for Talbot-Lau X-ray Tomography

Florian Schiffers, Sebastian Kaeppler, Georg Pelzer, Andreas Wolf, Andreas Maier, Gisela Anton, Christian Riess

DOI:10.12059/Fully3D.2017-11-3107001

Published in:Fully3D 2017 Proceedings

Pages:221-227

Keywords:
X-ray interferometry, Talbot-Lau, beam hardening, iterative reconstruction
Compared to conventional attenuation imaging, Talbot-Lau X-ray grating interferometry applied within a polychromatic setup suffers from additional artifacts. Among those are beam hardening and dispersion effects due to the complex coupling of different physical effects involved in the image formation process. In computed tomography these effects lead to image degradation, such as cupping and streak artifacts, hampering diagnostic use.
In this paper, we seek to reduce these artifacts in an iterative reconstruction framework. To this purpose, we define a model of the polychromatic forward projection that includes prior knowledge about the physical setup. Using this model we derive a maximum likelihood algorithm for simultaneous reconstruction of the attenuation, phase and scatter images.
In our experiments on a synthetic ground-truth phantom, we compare filtered backprojection reconstruction with the proposed approach. The proposed method considerably reduces strong beam hardening artifacts in the phase images, and almost completely removes these artifacts in the absorption and scatter images.
Florian Schiffers
FAU Erlangen-Nuremberg, Germany
Sebastian Kaeppler
FAU Erlangen-Nuremberg, Germany
Georg Pelzer
FAU Erlangen-Nuremberg, Germany
Andreas Wolf
FAU Erlangen-Nuremberg, Germany
Andreas Maier
FAU Erlangen-Nuremberg, Germany
Gisela Anton
FAU Erlangen-Nuremberg, Germany
Christian Riess
FAU Erlangen-Nuremberg, Germany
  1. A. Momose, T. Takeda, Y. Itai, and K. Hirano, “Phase–contrast x–ray computed tomography for observing biological soft tissues,” Nature Medicine, vol. 2, pp. 473–475, Apr. 1996.
  2. S. W. Wilkins, T. E. Gureyev, D. Gao, A. Pogany, and A. W. Stevenson, “Phase-contrast imaging using polychromatic hard x-rays,” Nature, vol. 384, pp. 335–338, Nov. 1996.
  3. S.-A. Zhou and A. Brahme, “Development of phase-contrast x-ray imaging techniques and potential medical applications,” Physica Medica, vol. 24, pp. 129–148, Sep. 2008.
  4. T. Donath, F. Pfeiffer, O. Bunk, C. Grünzweig, E. Hempel, S. Popescu, P. Vock, and C. David, “Toward clinical x-ray phase-contrast CT,” Investigative Radiology, p. 1, May 2010.
  5. G. Schulz, T. Weitkamp, I. Zanette, F. Pfeiffer, F. Beckmann, C. David, S. Rutishauser, E. Reznikova, and B. Muller, “High-resolution tomographic imaging of a human cerebellum: comparison of absorption and grating-based phase contrast,” Journal of The Royal Society Interface, vol. 7, pp. 1665–1676, July 2010.
  6. M. Bech, O. Bunk, T. Donath, R. Feidenhans’l, C. David, and F. Pfeiffer, “Quantitative x-ray dark-field computed tomography,” Physics in Medicine and Biology, vol. 55, pp. 5529–5539, Aug. 2010.
  7. A. Velroyen, A. Yaroshenko, D. Hahn, A. Fehringer, A. Tapfer, M. Mueller, P. Noel, B. Pauwels, A. Sasov, A. Yildirim, O. Eickelberg, K. Hellbach, S. Auweter, F. Meinel, M. Reiser, M. Bech, and F. Pfeiffer, “Grating-based x-ray dark-field computed tomography of living mice,” EBioMedicine, vol. 2, pp. 1500–1506, Oct. 2015.
  8. T. Michel, J. Rieger, G. Anton, F. Bayer, M. W. Beckmann, J. Durst, P. A. Fasching, W. Haas, A. Hartmann, G. Pelzer, M. Radicke, C. Rauh, A. Ritter, P. Sievers, R. Schulz-Wendtland, M. Uder, D. L. Wachter, T. Weber, E. Wenkel, and A. Zang, “On a dark-field signal generated by micrometer-sized calcifications in phase-contrast mammography,” Physics in Medicine and Biology, vol. 58, pp. 2713–2732, Apr. 2013.
  9. Z. Wang, N. Hauser, G. Singer, M. Trippel, R. A. Kubik-Huch, C. W. Schneider, and M. Stampanoni, “Non-invasive classification of microcalcifications with phase-contrast x-ray mammography,” Nature Communications, vol. 5, May 2014.
  10. F. Pfeiffer, T. Weitkamp, O. Bunk, and C. David, “Phase retrieval and differential phase-contrast imaging with low-brilliance x-ray sources,” Nature Physics, vol. 2, pp. 258–261, March 2006.
  11. P. Thibault, M. Dierolf, A. Menzel, O. Bunk, C. David, and F. Pfeiffer, “High-resolution scanning x-ray diffraction microscopy,” Science, vol. 321, pp. 379–382, July 2008.
  12. N. Bevins, J. Zambelli, K. Li, Z. Qi, and G.-H. Chen, “Beam hardening in x-ray differential phase contrast computed tomography,” in Medical Imaging 2011: Physics of Medical Imaging (N. J. Pelc, E. Samei, and R. M. Nishikawa, eds.), SPIE-Intl Soc Optical Eng, March 2011.
  13. M. Chabior, T. Donath, C. David, O. Bunk, M. Schuster, C. Schroer, and F. Pfeiffer, “Beam hardening effects in grating-based x-ray phasecontrast imaging,” Medical Physics, vol. 38, p. 1189, Feb. 2011.
  14. G. Pelzer, G. Anton, F. Horn, J. Rieger, A. Ritter, J. Wandner, T. Weber, and T. Michel, “A beam hardening and dispersion correction for x-ray dark-field radiography,” Medical Physics, vol. 43, pp. 2774–2779, May 2016.
  15. W. Yashiro, P. Vagoviˇc, and A. Momose, “Effect of beam hardening on a visibility-contrast image obtained by x-ray grating interferometry,” Optics Express, vol. 23, p. 23462, Aug. 2015.
  16. G. T. Herman, “Correction for beam hardening in computed tomography,” Physics in Medicine and Biology, vol. 24, pp. 81–106, Jan. 1979.
  17. J. F. Barrett and N. Keatba, “Artifacts in CT: Recognition and avoidance,” RadioGraphics, vol. 24, pp. 1679–1691, Nov. 2004.
  18. B. D. Man, J. Nuyts, P. Dupont, G. Marchal, and P. Suetens, “An iterative maximum-likelihood polychromatic algorithm for CT,” IEEE Transactions on Medical Imaging, vol. 20, pp. 999–1008, Oct. 2001.
  19. S. Kaeppler, F. Bayer, T. Weber, A. Maier, G. Anton, J. Hornegger, M. Beckmann, P. A. Fasching, A. Hartmann, F. Heindl, T. Michel, G. Oezguel, G. Pelzer, C. Rauh, J. Rieger, R. Schulz-Wendtland, M. Uder, D. Wachter, E. Wenkel, and C. Riess, “Signal decomposition for x-ray dark-field imaging,” in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, pp. 170–177, Springer Nature, Sep. 2014.
  20. A. C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging. Society for Industrial & Applied Mathematics (SIAM), Jan. 2001.
  21. T. Koehler and B. Brendel, “Empirical beam hardening correction for differential phase contrast ct,” Aug. 25 2016. US Patent App. 15/031,819.
  22. A. Ritter, F. Bayer, J. Durst, K. Gödel, W. Haas, T. Michel, J. Rieger, T. Weber, L. Wucherer, and G. Anton, “Simultaneous maximum-likelihood reconstruction for x-ray grating based phasecontrast tomography avoiding intermediate phase retrieval,” arXiv preprint arXiv:1307.7912, Jul. 2013.
  23. B. Brendel, M. von Teuffenbach, P. B. Noël, F. Pfeiffer, and T. Koehler, “Penalized maximum likelihood reconstruction for x-ray differential phase-contrast tomography,” Medical Physics, vol. 43, pp. 188–194, Dec. 2015.
  24. A. Ritter, G. Anton, and T. Weber, “Simultaneous maximum-likelihood reconstruction of absorption coefficient, refractive index and dark-field scattering coefficient in x-ray talbot-lau tomography,” PLOS ONE, vol. 11, p. e0163016, Oct. 2016.
  25. I. Elbakri and J. Fessler, “Statistical image reconstruction for polyenergetic x-ray computed tomography,” IEEE Transactions on Medical Imaging, vol. 21, pp. 89–99, Feb. 2002.
  26. A. Lohmann and D. Silva, “An interferometer based on the talbot effect,” Optics Communications, vol. 2, pp. 413–415, Feb. 1971.
  27. M. Chabior, Contributions to the characterization of grating-based x-ray phase-contrast imaging. PhD thesis, TU Dresden, Sep. 2011.
  28. A. Ritter, P. Bartl, F. Bayer, K. C. Gödel, W. Haas, T. Michel, G. Pelzer, J. Rieger, T. Weber, A. Zang, and G. Anton, “Simulation framework for coherent and incoherent x-ray imaging and its application in talbot-lau dark-field imaging,” Optics Express, vol. 22, p. 23276, Sep. 2014.
  29. T. Koehler, B. Brendel, and E. Roessl, “Iterative reconstruction for differential phase contrast imaging using spherically symmetric basis functions,” Medical Physics, vol. 38, p. 4542, July 2011.
  30. R. M. Lewitt, “Multidimensional digital image representations using generalized kaiser–bessel window functions,” Journal of the Optical Society of America A, vol. 7, p. 1834, Oct. 1990.
  31. A. Maier, H. G. Hofmann, M. Berger, P. Fischer, C. Schwemmer, H. Wu, K. Mueller, J. Hornegger, J.-H. Choi, C. Riess, A. Keil, and R. Fahrig, “A software framework for cone-beam imaging in radiology,” Medical Physics, vol. 40, p. 111914, Nov. 2013.
  32. M. Berger and J. Hubbell, “XCOM: Photon cross sections on a personal computer,” tech. rep., July 1987.
  33. W. Yashiro, Y. Terui, K. Kawabata, and A. Momose, “On the origin of visibility contrast in x-ray talbot interferometry,” Optics Express, vol. 18, pp. 16890–16901, July 2010.