About this Medicine article

A Multispectral Analysis of Brain Tissues by Lynn M. Fletcher; John B. Barsotti; Joseph P. Hornak is a Medicine article available to read on EtoBox.

## Abstract With the increasing use of three‐dimensional MRI techniques it is becoming necessary to explore automated techniques for locating pathology in the volume images. The suitability of a specific technique to locate and identify healthy tissues of the brain was examined as a first step toward eventually identifying pathology in images. This technique, called multispectral image segmentation, is based on the classification of tissue types in an image according to their characteristics in various spectral regions. The spectral regions chosen for this study were the hydrogen spin‐lattice relaxation time T~1~ spin‐spin relaxation time T~2~, and spin density, ρ. Single‐echo, spin‐echo magnetic resonance images of axial slices through the brain at the level of the lateral ventricles were recorded on a 1.5 Tesla imager from 20 volunteers ranging in age from 17 to 72 years. These images were used to calculate the T~1~, T~2~, and ρ images used for the classification. Tissue classification was performed by locating clusters of pixels in a threedimensional T~1~‐^1^‐T~2~‐^1^‐ρ histogram. Gray matter, white matter, cerebrospinal fluid, meninges, muscle, and adipose tissues were readily

Author

Lynn M. Fletcher; John B. Barsotti; Joseph P. Hornak

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0740-3194)

Published

1993

Language

EN

Field

Medicine (Health Sciences)