Application of parametric spectral estimation to medical ultrasound and magnetic resonance spectroscopy

Keith A. Wear; Robert F. Wagner; Brian S. Garra; Laurence W. Grossman; Michael F. Insana; Kyle J. Myers; Sunder S. Rajan

doi:10.1117/12.18781

1 July 1990 Application of parametric spectral estimation to medical ultrasound and magnetic resonance spectroscopy

Keith A. Wear, Robert F. Wagner, Brian S. Garra, Laurence W. Grossman, Michael F. Insana, Kyle J. Myers, Sunder S. Rajan

Author Affiliations +

Proceedings Volume 1231, Medical Imaging IV: Image Formation; (1990) https://doi.org/10.1117/12.18781
Event: Medical Imaging '90, 1990, Newport Beach, CA, United States

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.

Citation Download Citation

Keith A. Wear, Robert F. Wagner, Brian S. Garra, Laurence W. Grossman, Michael F. Insana, Kyle J. Myers, and Sunder S. Rajan "Application of parametric spectral estimation to medical ultrasound and magnetic resonance spectroscopy", Proc. SPIE 1231, Medical Imaging IV: Image Formation, (1 July 1990); https://doi.org/10.1117/12.18781

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