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

Robert A. Brown, Hongmei Zhu, Joseph Ross Mitchell

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)689-691
Number of pages3
JournalIEEE Transactions on Medical Imaging
Volume24
Issue number5
DOIs
StatePublished - May 2005
Externally publishedYes

Fingerprint

Medical imaging
Fourier Analysis
Diagnostic Imaging
Medical image processing
Fourier transforms
Wavelet Analysis
Processing
Mathematical transformations
Noise
Medical applications
Wavelet transforms
Textures

Keywords

  • Biomedical image processing
  • Discrete fourier transforms
  • Distributed computing
  • Vector processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Distributed vector processing of a new local multiscale Fourier transform for medical imaging applications. / Brown, Robert A.; Zhu, Hongmei; Mitchell, Joseph Ross.

In: IEEE Transactions on Medical Imaging, Vol. 24, No. 5, 05.2005, p. 689-691.

Research output: Contribution to journalArticle

Brown, Robert A. ; Zhu, Hongmei ; Mitchell, Joseph Ross. / Distributed vector processing of a new local multiscale Fourier transform for medical imaging applications. In: IEEE Transactions on Medical Imaging. 2005 ; Vol. 24, No. 5. pp. 689-691.
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