首页|A new local multiscale Fourier analysis for medical imaging.
A new local multiscale Fourier analysis for medical imaging.
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The Stockwell transform (ST), recently developed for geophysics, combines features of the Fourier, Gabor and wavelet transforms; it reveals frequency variation over time or space. This valuable information is obtained by Fourier analysis of a small segment of a signal at a time. Localization of the Fourier spectrum is achieved by filtering the signal with frequency-dependent Gaussian scaling windows. This multi-scale time-frequency analysis provides information about which frequencies occur and more importantly when they occur. Furthermore, the Stockwell domain can be directly inferred from the Fourier domain and vice versa. These features make the ST a potentially effective tool to visualize, analyze, and process medical imaging data. The ST has proven useful in noise reduction and tissue texture analysis. Herein, we focus on the theory and effectiveness of the ST for medical imaging. Its effectiveness and comparison with other linear time-frequency transforms, such as the Gabor and wavelet transforms, are discussed and demonstrated using functional magnetic resonance imaging data.
With frequencyDiagnostic ImagingFourier AnalysisAnalysis of substances诊断显像傅里叶分析
Zhu H、Goodyear BG、Lauzon ML、Brown RA、Mayer GS、Law AG、Mansinha L、Mitchell JR
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Department of Radiology, University of Calgary, Seaman Family MR Research Centre, Foothills Medical Centre, 1403-29th Street NW, Calgary, Alberta T2N 2T9, Canada. hzhu@ucalgary.ca
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