Trends on Wavelet-based Functional MRI for Activation Detection

被引：0

作者：

Wongsawat, Yodchanan ^{[1
]}

机构：

[1] Mahidol Univ, Dept Biomed Engn, Salaya 73170, Nakornpathom, Thailand

来源：

WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS | 2010年 / 25卷

关键词：

FMRI TIME-SERIES; STATISTICAL-ANALYSIS; TRANSFORM; REPRESENTATIONS;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents a review on the existing schemes for functional magnetic resonance imaging (fMRI) activation detection exploiting various types of wavelet spaces. The existing works on wavelet-based fMRI activation detection schemes are categorized into two main types of wavelets, using non-redundant wavelets and using redundant wavelets. Discussions on concerned problems and future directions of the existing works are also illustrated.

引用

页码：1242 / 1245

页数：4

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