Distributed Vector Processing of A New Local Multiscale: Fourier Transform for Medical Imaging Applications

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Date

2005

Authors

Brown, Robert
Zhu, Hongmei
Mitchell, Joseph

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE Transactions on Medical Imaging

Abstract

The recently developed S-transform (ST) combines features of the Fourier andWavelet 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.

Description

Keywords

Biomedical image processing, discrete Fourier transforms, distributed computing, vector processing

Citation

R. A. Brown, Hongmei Zhu and J. R. Mitchell, "Distributed Vector Processing of a New Local MultiScale Fourier Transform for Medical Imaging Applications," in IEEE Transactions on Medical Imaging, vol. 24, no. 5, pp. 689-691, May 2005. doi: 10.1109/TMI.2005.845320