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
收藏
页码：1242 / 1245
页数：4
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