Thumbnail
Access Restriction
Subscribed

Author Plevritis, S.K. ♦ Macovski, A.
Sponsorship IEEE Engineering in Medicine and Biology Society ♦ IEEE Nuclear and Plasma Sciences Society ♦ IEEE Signal Processing Society ♦ IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1982
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Extrapolation ♦ Magnetic resonance imaging ♦ Spatial resolution ♦ Noise measurement ♦ Biomedical imaging
Abstract A spectral extrapolation algorithm for spatially bounded images is presented. An image is said to be spatially bounded when it is confined to a closed region and is surrounded by a background of zeros. With prior knowledge of the spatial domain zeros, the extrapolation algorithm extends the image's spectrum beyond a known interval of low-frequency components. The result, which is referred to as the finite support solution, has space variant resolution; features near the edge of the support region are better resolved than those in the center. The resolution of the finite support solution is discussed as a function of the number of known spatial zeros and known spectral components. A regularized version of the finite support solution is included for handling the case where the known spectral components are noisy. For both the noiseless and noisy cases, the resolution of the finite support solution is measured in terms of its impulse response characteristics, and compared to the resolution of the zerofilled and Nyquist solutions. The finite support solution is superior to the zerofilled solution for both the noisy and noiseless data cases. When compared to the Nyquist solution, the finite support solution may be preferred in the noisy data case. Examples using medical image data are provided.<<ETX>>
Description Author affiliation :: Dept. of Electr. Eng., Stanford Univ., CA, USA
ISSN 02780062
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1995-09-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 14
Issue Number 3
Size (in Bytes) 1.10 MB
Page Count 11
Starting Page 487
Ending Page 497


Source: IEEE Xplore Digital Library