Improved speed of bone removal in computed tomographic angiography using automated targeted morphological separation: Method and evaluation in computed tomographic angiography of lower extremity occlusive disease

Raghav Raman, Bhargav Raman, Sandy Napel, Geoffrey D. Rubin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We developed an automated algorithm for bone removal in computed tomographic angiographic images that identifies and deletes connections between bone and vessels. Our automated algorithm is significantly faster than manual methods (2.45 minutes vs 73 minutes) and only generates about 2 small artifactual deletions per patient, mostly in the region of the ankle. Image quality was equivalent to manual methods. It shows promise as a tool for fast and accurate postprocessing of computed tomographic angiograms.

Original languageEnglish (US)
Pages (from-to)485-491
Number of pages7
JournalJournal of Computer Assisted Tomography
Volume32
Issue number3
DOIs
StatePublished - May 2008
Externally publishedYes

Keywords

  • 3-dimensional rendering
  • Algorithm
  • Automation
  • Bone removal
  • Computed tomographic angiography
  • Image processing
  • Maximum intensity projections
  • Postprocessing

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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