3-D brain image registration using optimal morphological processing and iterative principal axis transform

Sven Loncaric, Atam Dhawan

Research output: Contribution to journalConference articlepeer-review

Abstract

The 3-D registration of Magnetic Resonance (MR) and Positron Emission Tomographic (PET) images of the brain is of significant interest for various reasons. A new MR and PET brain registration procedure is presented in this paper. The procedure is based on the Iterative Principal Axis Transform (IPAR) and the optimal shape description method based on the Morphological Signature Transform. The morphological processing is used to improve the accuracy of the basic IPAR method. A genetic algorithm is used to select a near-optimal structuring element for MST-based registration. The results demonstrate that the method provides an accurate registration.

Original languageEnglish (US)
Pages (from-to)692-693
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 1
StatePublished - Dec 1 1994
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Bioengineering

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