MULTISPECTRAL ANALYSIS OF THE BRAIN USING MAGNETIC-RESONANCE-IMAGING

被引：68
作者：
TAXT, T
LUNDERVOLD, A
机构：
[1] Section for Medical Image Analysis and Pattern Recognition, University of Bergen, Årstadveien 19
来源：
IEEE TRANSACTIONS ON MEDICAL IMAGING | 1994年 / 13卷 / 03期
关键词：
D O I：
10.1109/42.310878
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this study we demonstrate an improved differentiation of the most common tissue types in the human brain and surrounding structures by quantitative validation using multispectral analysis of magnetic resonance images. This is made possible by a combination of a special training technique and an increase in the number of magnetic resonance channel images with different pulse acquisition parameters. We give a description of the tissue-specific multivariate statistical distributions of the pixel intensity values and discuss how their properties may be explored to improve the statistical modeling further. A statistical method to estimate the tissue-specific longitudinal and transverse relaxation times is also given. We conclude that multispectral analysis of magnetic resonance images is a valuable tool to recognize the most common normal tissue types in the brain and surrounding structures.
引用
收藏
页码：470 / 481
页数：12
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