Estimation of relaxation time distributions in magnetic resonance imaging

被引：0

作者：

Susko, E ^{[1
]}

Bronskill, MJ ^{[1
]}

Graham, SJ ^{[1
]}

Tibshirani, RJ ^{[1
]}

机构：

[1] Dalhousie Univ, Dept Math & Stat, Halifax, NS B3H 3J5, Canada

来源：

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2001年 / 29卷 / 03期

关键词：

classification; linear discriminant analysis; magnetic resonance imaging; nonparametric estimation; optimization; Tchebycheff system;

D O I：

10.2307/3316035

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Magnetic resonance imaging techniques can be used to measure some biophysical properties of tissue. In this context, the T-2 relaxation time is an important parameter for soft-tissue contrast. The authors develop a new technique to estimate the integral of the distribution of T2 relaxation time without imposing any constraint other than the monotonicity of the underlying cumulative relaxation time distribution. They explore the properties of the estimation and its applications for the analysis of breast tissue data. As they show, an extension of linear discriminant analysis is found to distinguish well between two classes of breast tissue.

引用

页码：379 / 394

页数：16