A multi-view active contour method for bone cement reconstruction from C-arm X-ray images

  • Authors:
  • Blake C. Lucas;Yoshito Otake;Mehran Armand;Russell H. Taylor

  • Affiliations:
  • Dept. of Computer Science, Johns Hopkins University, Baltimore, Maryland and Johns Hopkins Applied Physics Laboratory, Laurel, Maryland;Dept. of Computer Science, Johns Hopkins University, Baltimore, Maryland;Johns Hopkins Applied Physics Laboratory, Laurel, Maryland;Dept. of Computer Science, Johns Hopkins University, Baltimore, Maryland

  • Venue:
  • IPCAI'11 Proceedings of the Second international conference on Information processing in computer-assisted interventions
  • Year:
  • 2011

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Abstract

A novel algorithm is presented to segment and reconstruct injected bone cement from a sparse set of X-Ray images acquired at arbitrary poses. The Sparse X-Ray Multi-view Active Contour (SxMAC - pronounced "smack") can (1) reconstruct objects for which the background partially occludes the object in X-Ray images, (2) use X-Ray images acquired on a non-circular trajectory, and (3) incorporate prior CT information. The algorithm's inputs are preprocessed X-Ray images, their associated pose information, and prior CT, if available. The algorithm initiates automated reconstruction using visual hull computation from a sparse number of x-ray images. It then improves the accuracy of the reconstruction by optimizing a geodesic active contour. A cadaver experiment demonstrates SxMAC's ability to reconstruct high contrast bone cement that has been injected into a femur and achieve sub-millimeter accuracy with 4 images.