Distributed vector processing of a new local multiscale Fourier transform for medical imaging applications

被引：25

作者：

Brown, RA

Zhu, HM

Mitchell, JR

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 2T9, Canada

[2] Foothills Med Ctr, Seaman Family MR Res Ctr, Calgary, AB T2N 2T9, Canada

[3] Univ Calgary, Dept Radiol & Clin Neurosci, Calgary, AB, Canada

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 2005年 / 24卷 / 05期

基金：

加拿大自然科学与工程研究理事会;

关键词：

biomedical image processing; discrete Fourier transforms; distributed computing; vector processing;

D O I：

10.1109/TMI.2005.845320

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The recently developed S-transform (ST) combines features of the Fourier and Wavelet transforms; it reveals frequency variation over both space and time. It is a potentially powerful tool that can be applied to medical image processing including texture analysis and noise filtering. However, calculation of the ST is computationally intensive, making conventional implementations too slow for many medical applications. This problem was addressed by combining parallel and vector computations to provide a 25-fold reduction in computation time. This approach could help accelerate many medical image processing algorithms.

引用

页码：689 / 691

页数：3

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