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.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Raman, R; Raman, B; Napel, S; Rubin, GD

Published Date

  • May 2008

Published In

Volume / Issue

  • 32 / 3

Start / End Page

  • 485 - 491

PubMed ID

  • 18520561

International Standard Serial Number (ISSN)

  • 0363-8715

Digital Object Identifier (DOI)

  • 10.1097/RCT.0b013e3181143011


  • eng

Conference Location

  • United States