Many imaging devices have been constructed that use fourier transform techniques for image reconstruction as well as for image analysis. The basis functions in the fourier transform space are sinusoids. These are not localized. Therefore it should not be expected that highly localized behavior of a
Imaging device that uses the wavelet transformation as the image reconstruction algorithm. II. The L transform
✍ Scribed by John H. Letcher
- Publisher
- John Wiley and Sons
- Year
- 1994
- Tongue
- English
- Weight
- 512 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0899-9457
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✦ Synopsis
Abstract
An ultrasound‐device image‐reconstruction algorithm has been described previously that uses orthonomal wavelets as the basis of a transform space. The transform algorithms make it possible to analyze the reflected ultrasound signal from a sample to produce a map of one of its internal properties, the acoustical impedance. Conventional wavelets do not exhibit translation invariance, the lack of which ofttimes generates nonzero expansion coefficients for wavelets of lower sequency than the transmitted signal. By a transformation of basis to a set of functions which exhibit a form of translation invariance the aforementioned problem is removed. However, the new functions are no longer orthogonal. An algorithm is described to perform this transformation extremely efficiently. Also described is an algorithm to unsmear the image due to the fact that the transmitted signal may not be a single wavelet but instead is a short sequence (linear combination) of wavelets. The coefficients of the array used to deconvolve the signal are determined by performing a forward wavelet transformation on the transmitted signal itself.©1994 John Wiley & Sons Inc
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