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Wavelet Domain Filtering for Nuclear Medicine Imaging

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Wavelet Domain Filtering for Nuclear Medicine Imaging
Id. 41495202
Idioma inglés
Titulo Wavelet Domain Filtering for Nuclear Medicine Imaging
Autor(es) Robert D. Nowak,David J. Nowak,Richard G. Baraniuk,Robert S. Hellman
Localización http://citeseer.ist.psu.edu/61207.html
Versión 1.0
Estado Final
Descripción We propose a new filtering/estimation method for nuclear medicine imaging. The statistical method of crossvalidation is used to design optimal wavelet domain filters for improved image estimation. The quality of the resulting images is much better than standard image estimates, in both visual and mean square error senses. Moreover, experiments have shown that, using the new estimate, we can reduce the acquisition time by a factor of two and still retain high image quality. I. Introduction This paper reports on the development of a new waveletbased filtering algorithm for nuclear medicine imaging. Wavelet-based filtering is a relatively recent advance in digital signal processing (DSP) [1]. Wavelet-based filtering offers significant theoretical advantages over classical linear filters [1, 4], and real-world applications have demonstrated the outstanding performance of these new methods [3]. The basic DSP problem in nuclear medicine imaging is to design a digital filter that that recov...
Tipo ps
Palabras clave Robert D. Nowak,David J. Nowak,Richard G. Baraniuk,Robert S. Hellman Wavelet Domain Filtering for Nuclear Medicine Imaging
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
Profesor
Autor
Estructura Atomic
Coste no
Copyright
unrestricted
Formatos ps
Requerimientos técnicos Browser: Any
Relación [IsBasedOn] http://www.egr.msu.edu/~nowak/mic96.ps.Z
[References] oai:CiteSeerPSU:9594
[References] oai:CiteSeerPSU:21388
[References] oai:CiteSeerPSU:61207
Fecha de contribución 31-mar-2009
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