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Proceedings Paper

Application of parametric spectral estimation to medical ultrasound and magnetic resonance spectroscopy
Author(s): Keith A. Wear; Robert F. Wagner; Brian S. Garra; Laurence W. Grossman; Michael F. Insana; Kyle J. Myers; Sunder S. Rajan
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Paper Abstract

This paper addresses variances of estimates of power spectral densities of radio-frequency (RF) signals generated with ultrasound and magnetic resonance spectroscopy. The spectral estimation methods studied involved autoregressive (AR) and moving average (MA) models. With experimental ultrasonic data, the power spectral density estimate obtained using the MA model exhibited an appreciable reduction in vanance compared with the squared modulus of the FFT. With magnetic resonance spectroscopic data, the AR spectral estimate was comparable to, but not significantly better than, the squared modulus of the FFT.

Paper Details

Date Published: 1 July 1990
PDF: 6 pages
Proc. SPIE 1231, Medical Imaging IV: Image Formation, (1 July 1990); doi: 10.1117/12.18781
Show Author Affiliations
Keith A. Wear, Ctr. for Devices and Radiological Health/FDA (United States)
Robert F. Wagner, Ctr. for Devices and Radiological Health/FDA (United States)
Brian S. Garra, Georgetown Univ. Medical Ctr. (United States)
Laurence W. Grossman, Ctr. for Devices and Radiological Health/FDA (United States)
Michael F. Insana, Univ. of Kansas (United States)
Kyle J. Myers, Ctr. for Devices and Radiological Health/FDA (United States)
Sunder S. Rajan, Georgetown Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 1231:
Medical Imaging IV: Image Formation
Roger H. Schneider, Editor(s)

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