Abstract
Wavelets has become a very popular matter of investigations, due to their great potential of applications. With respect to the classic windowed Fourier analysis, whose basis functions have the same width, the wavelet bases functions have time-widths adapted to their frequency. Therefore wavelet transform is better able to zoom-in on very short-lived high frequency phenomena.
In diagnostic medicine, image reconstruction techniques such as Computerized Tomography can be used to view internal organs with great precision. However these techniques are characterised by a high sensitivity to noise usually overcome by giving a suitably high dose to the patient. In this paper a new method has been developed, using the properties of the wavelet transform to lower the noise and then to reduce the radiation exposure in X-ray tomography.
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References
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© 1996 Springer-Verlag Wien
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Belluzzo, D., Raggio, I., Tarantola, S. (1996). X-Ray Dose Reduction in Computerized Tomography by Using Wavelet Transform. In: Mussio, L., Forlani, G., Crosilla, F. (eds) Data Acquisition and Analysis for Multimedia GIS. International Centre for Mechanical Sciences, vol 365. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2684-4_16
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DOI: https://doi.org/10.1007/978-3-7091-2684-4_16
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