Distributed vector processing of the S-transform for medical applications

Author

Brown, R.A. ; Zhu, H. ; Mitchell, J.R.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

2

fYear

2002

fDate

2002

Firstpage

1129

Abstract

The recently developed Stockwell 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 tissue texture analysis and noise filtering. However, calculation of the ST is computationally intensive, making conventional implementations too slow for medical applications. This problem was addressed with a Fast Fourier transform implementation for Motorola´s AltiVec vector processor and a distributed processing system with the goal of creating a flexible system utilizing existing hardware and standards.

Keywords

computational complexity; fast Fourier transforms; image denoising; medical image processing; vector processor systems; wavelet transforms; Altivec implementation; Stockwell transform distributed vector processing; computational complexity; fast Fourier transforms; flexible system; frequency adapted Gaussian window; medical image processing; noise filtering; spectral localization transform; tissue texture analysis; wavelet transforms; Biomedical equipment; Biomedical image processing; Fast Fourier transforms; Filtering; Fourier transforms; Frequency; Image analysis; Image texture analysis; Medical services; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7514-9

Type

conf

DOI

10.1109/CCECE.2002.1013106

Filename

1013106