An active contour method for bone cement reconstruction from C-arm X-ray images

Blake C. Lucas, Yoshito Otake, Mehran Armand, Russell H Taylor

Research output: Contribution to journalArticle

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 noncircular trajectory, and 3) incorporate prior computed tomography (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. Experiments with mathematical phantoms demonstrate improvements over a conventional silhouette based approach, and 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 four images.

Original languageEnglish (US)
Article number6043907
Pages (from-to)860-869
Number of pages10
JournalIEEE Transactions on Medical Imaging
Volume31
Issue number4
DOIs
Publication statusPublished - Apr 2012

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Keywords

  • Active contour
  • bone cement
  • deformable models
  • intra-operative imaging
  • reconstruction
  • segmentation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

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