Adaptive variational sinogram interpolation of sparsely sampled CT data

Hornegger J, Köstler H, Rüde U, Prümmer M (2006)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2006

Journal

Proceedings - International Conference on Pattern Recognition

Original Authors: Köstler H., Prümmer M., Rüde U., Hornegger J.

Book Volume: 3

Pages Range: 778-781

Conference Proceedings Title: Proceedings of the ICPR 2006

Event location: Hong Kong

Journal Issue: null

DOI: 10.1109/ICPR.2006.225

Abstract

We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint the projection data by diffusion. To overcome the problem of contour blurring we consider nonlinear and anisotropic diffusion based regularizers and include optical flow information in order to preserve the sinuodal traces corresponding to object contours in the reconstructed image. We compare our results to a spectral deconvolution based interpolation and show that the method can easily be extended to 3D, © 2006 IEEE.

Authors with CRIS profile

Joachim Hornegger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Harald Köstler Lehrstuhl für Informatik 10 (Systemsimulation) (LSS) Ulrich Rüde Lehrstuhl für Informatik 10 (Systemsimulation) (LSS)

Related research project(s)

Mehrgitterverfahren in der Bildverarbeitung Jan. 1, 2002 - Dec. 31, 2011

How to cite

APA:

Hornegger, J., Köstler, H., Rüde, U., & Prümmer, M. (2006). Adaptive variational sinogram interpolation of sparsely sampled CT data. In Proceedings of the ICPR 2006 (pp. 778-781). Hong Kong, CN.

MLA:

Hornegger, Joachim, et al. "Adaptive variational sinogram interpolation of sparsely sampled CT data." Proceedings of the 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong 2006. 778-781.

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