Title :
Multi-modality image registration using centroid mapping
Author :
Bartoo, Grace T. ; Hanson, William A.
Author_Institution :
Center for Bioeng., Washington Univ., Seattle, WA, USA
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;
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
DOI :
10.1109/IEMBS.1989.95868
