Distributed vector processing of the S-transform for medical applications

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

Distributed vector processing of the S-transform for medical applications

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

Research

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

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.

Original language	English (US)
Pages (from-to)	1129-1133
Number of pages	5
Journal	Canadian Conference on Electrical and Computer Engineering
Volume	2
State	Published - 2002
Event	2002 IEEE Canadian Conference on Electrical and Computer Engineering - Winipeg, Manitoba, Canada Duration: May 12 2002 → May 15 2002

Keywords

Distributed computing
S-transform
Vector processing

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

Cite this

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title = "Distributed vector processing of the S-transform for medical applications",

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 = "Distributed computing, S-transform, Vector processing",

author = "Brown, {R. A.} and H. Zhu and Mitchell, {J. R.}",

note = "Copyright: Copyright 2004 Elsevier Science B.V., Amsterdam. All rights reserved.; 2002 IEEE Canadian Conference on Electrical and Computer Engineering ; Conference date: 12-05-2002 Through 15-05-2002",

year = "2002",

language = "English (US)",

volume = "2",

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journal = "Canadian Conference on Electrical and Computer Engineering",

issn = "0840-7789",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Distributed vector processing of the S-transform for medical applications

AU - Brown, R. A.

AU - Zhu, H.

AU - Mitchell, J. R.

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

KW - Distributed computing

KW - S-transform

KW - Vector processing

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UR - http://www.scopus.com/inward/citedby.url?scp=0036065360&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036065360

SN - 0840-7789

VL - 2

SP - 1129

EP - 1133

JO - Canadian Conference on Electrical and Computer Engineering

JF - Canadian Conference on Electrical and Computer Engineering

T2 - 2002 IEEE Canadian Conference on Electrical and Computer Engineering

Y2 - 12 May 2002 through 15 May 2002

ER -

Distributed vector processing of the S-transform for medical applications

Abstract

Keywords

ASJC Scopus subject areas

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