Multi-modality image registration using centroid mapping

Author

Bartoo, Grace T. ; Hanson, William A.

Author_Institution

Center for Bioeng., Washington Univ., Seattle, WA, USA

fYear

1989

Firstpage

550

Abstract

A method for the semiautomatic spatial registration of brain images generated by magnetic-resonance imaging (MRI), computed tomography (CT), and single-photon-emission computed tomography (SPECT) is discussed. The method is based on centroid mapping and utilizes the image processing techniques of grey-level classification, mathematical morphology, connected-components feature extraction, and geometric transformation. Once registered, the images are superimposed and displayed as a single color image. The registered images allow application of multispectral tissue classification. The method is reported to be visually equivalent to manual registration performed by a radiologist

Keywords

biomedical NMR; brain; computerised tomography; picture processing; radioisotope scanning and imaging; brain images; centroid mapping; computed tomography; connected-components feature extraction; geometric transformation; grey-level classification; image processing techniques; magnetic-resonance imaging; mathematical morphology; multi-modality image registration; multispectral tissue classification; semiautomatic spatial registration; single-photon-emission computed tomography; Biological tissues; Biomedical imaging; Brain; Computed tomography; Head; Image processing; Image registration; Magnetic resonance; Morphology; Single photon emission computed tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.95868

Filename

95868