Application Of Maximum-Entropy Spectrum Analysis To The Measurement Of Low-Frequency Radiographic Noise Spectra

Eugene A. Trabka; Phillip C Bunch

doi:10.1117/12.939325

15 June 1984 Application Of Maximum-Entropy Spectrum Analysis To The Measurement Of Low-Frequency Radiographic Noise Spectra

Eugene A. Trabka, Phillip C Bunch

Author Affiliations +

Proceedings Volume 0454, Application of Optical Instrumentation in Medicine XII; (1984) https://doi.org/10.1117/12.939325
Event: Application of Optical Instrumentation in Medicine XII, 1984, San Diego, United States

Abstract

The maximum-entropy method (MEM) for computing noise spectra has been extended to accommodate two-dimensional microdensitometric scans of uniformly exposed radiographs. Based on computer-simulated short scans, the MEM requires one-tenth the data of the conventional FFT method, for the same statistical stability. In particular, MEM estimates of very low-frequency noise power have proved to be substantially more stable than FFT estimates. MEM spectra also have the advantage of being smoother than the FFT method. For measured data, we found the results to be quite sensitive to the nature of the detrending algorithm which was applied to the raw data.

Citation Download Citation

Eugene A. Trabka and Phillip C Bunch "Application Of Maximum-Entropy Spectrum Analysis To The Measurement Of Low-Frequency Radiographic Noise Spectra", Proc. SPIE 0454, Application of Optical Instrumentation in Medicine XII, (15 June 1984); https://doi.org/10.1117/12.939325

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available