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

K. A. Wear, R. F. Wagner, B. S. Garra, L. W. Grossman, M. F. Insana, K. J. Myers, S. S. Rajan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 variance 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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsH.Roger Schneider
PublisherPubl by Int Soc for Optical Engineering
Pages34-39
Number of pages6
ISBN (Print)0819402753
StatePublished - Dec 1 1990
Externally publishedYes
EventMedical Imaging IV: Image Foundation - Newport Beach, CA, USA
Duration: Feb 4 1990Feb 6 1990

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1231
ISSN (Print)0277-786X

Other

OtherMedical Imaging IV: Image Foundation
CityNewport Beach, CA, USA
Period2/4/902/6/90

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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