Title :
Distributed vector Processing of a new local MultiScale Fourier transform for medical imaging applications
Author :
Brown, Robert A. ; Zhu, Hongmei ; Mitchell, J. Ross
Author_Institution :
Seaman Family MR Res. Centre, Calgary, Canada
fDate :
5/1/2005 12:00:00 AM
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.
Keywords :
Fourier transforms; biomedical MRI; image denoising; image texture; medical image processing; wavelet transforms; S-transform; distributed vector processing; local multiScale Fourier transform; medical image processing; noise filtering; texture analysis; wavelet transforms; Biomedical image processing; Biomedical imaging; Concurrent computing; Filtering; Fourier transforms; Frequency; Image analysis; Image texture analysis; Medical services; Wavelet transforms; Biomedical image processing; discrete Fourier transforms; distributed computing; vector processing; Algorithms; Artificial Intelligence; Diagnostic Imaging; Fourier Analysis; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Numerical Analysis, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2005.845320
