A template based technique for automatic detection of fiducial markers in 3D brain images

Jun Tan, Dingguo Chen, Vipin Chaudhary, Ishwar Sethi

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In this paper we present an accurate template-based technique for automatic detection of fiducial markers in 3D brain images so that fully automatic landmark-based co-registration can be implemented In our approach, we performed edge detection on a sequence of fiducial images in their location order. We then examined the resulting edge sequence to see if it matches a predefined template. In our tests, our approach detected successfully 429 out of 430 fiducial markers that can be recognized by human eyes. Thus, our template-based technique can eliminate the procedure of waiting for users to manually pick fiducial landmarks in images in landmark-based image-registrations.

Original languageEnglish (US)
Pages (from-to)47-49
Number of pages3
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume1
Issue numberSUPPL. 7
StatePublished - Jun 2006
Externally publishedYes

Keywords

  • Co-registration
  • Computer assisted surgery
  • Fiducial detection
  • Image processing
  • Neurosurgery

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'A template based technique for automatic detection of fiducial markers in 3D brain images'. Together they form a unique fingerprint.

Cite this