Quantitative comparison and analysis of brain image registration using frequency-adaptive wavelet shrinkage.

Quantitative comparison and analysis of brain image registration using frequency-adaptive wavelet shrinkage.

In the field of template-based medical image analysis, image registration and normalization are frequently used to evaluate and interpret data in a standard template or reference atlas space. Despite the large number of image-registration (warping) techniques developed recently in the literature, on...

詳細記述

書誌詳細
出版年:IEEE Transactions on information technology in biomedicine 6, 1 (2002).
第一著者: Dinov, I.D
フォーマット: 論文
言語:English
主題:
Alignment methods.
Brain image registration.
Compressed wavelet space.
Denoising.
Frequency-adaptive wavelet shrinkage.
Frequency-dependent wavelet shrinkage.
Image normalization.
Magnetic resonance imaging.
Native data.
Nonaffine warping methods.
Optimality properties.
Positron emission tomography.
Quantitative analysis.
Quantitative comparison.
Reference atlas space.
Resliced data.
Selective wavelet reconstruction technique.
Stereotaxic human brain functional data.
Stereotaxic human brain structural data.
Template.
Template-based medical image analysis.
Warp classification schemes.
Warping.