Novel algorithms for robust registration of fiducials in CT and MRI

Sangyoon Lee, Gabor Fichtinger, Gregory S. Chirikjian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper we present several numerical algorithms for registering fiducials in planar CT or MRI images to their corresponding three-dimensional locations. The unique strength of these methods is their ability to robustly handle incomplete fiducials patterns, even in extreme cases when as much as one third of the fiducial data is missing from the images. We compare the effectiveness of these algorithms in terms of flops and robustness on actual CT data sets.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages717-724
Number of pages8
Volume2208
ISBN (Print)3540426973, 9783540454687
DOIs
StatePublished - 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
Country/TerritoryNetherlands
CityUtrecht
Period10/14/0110/17/01

ASJC Scopus subject areas

  • General Computer Science
  • Theoretical Computer Science

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