Implementation of linear filters for iterative penalized maximum likelihood SPECT reconstruction

Journal Article · Sun Mar 31 23:00:00 EST 1991 · IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/23.289364· OSTI ID:5012813

Liang, Z ^[1]

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1. Duke Univ., Durham, NC (United States). Dept. of Radiology

This paper reports on six low-pass linear filters applied in frequency space implemented for iterative penalized maximum-likelihood (ML) SPECT image reconstruction. The filters implemented were the Shepp-Logan filter, the Butterworth filer, the Gaussian filter, the Hann filter, the Parzen filer, and the Lagrange filter. The low-pass filtering was applied in frequency space to projection data for the initial estimate and to the difference of projection data and reprojected data for higher order approximations. The projection data were acquired experimentally from a chest phantom consisting of non-uniform attenuating media. All the filters could effectively remove the noise and edge artifacts associated with ML approach if the frequency cutoff was properly chosen. The improved performance of the Parzen and Lagrange filters relative to the others was observed. The best image, by viewing its profiles in terms of noise-smoothing, edge-sharpening, and contrast, was the one obtained with the Parzen filter. However, the Lagrange filter has the potential to consider the characteristics of detector response function.

• OSTI ID: 5012813
• Journal Information: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States) Vol. 38:2; ISSN 0018-9499; ISSN IETNA
• Country of Publication: United States
• Language: English

Related Subjects

550602* -- Medicine-- External Radiation in Diagnostics-- (1980-)
62 RADIOLOGY AND NUCLEAR MEDICINE
BODY
BODY AREAS
CHEST
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
FUNCTIONS
IMAGE PROCESSING
ITERATIVE METHODS
LAGRANGIAN FUNCTION
MAXIMUM-LIKELIHOOD FIT
MOCKUP
NUMERICAL SOLUTION
PHANTOMS
PROCESSING
RESPONSE FUNCTIONS
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
STRUCTURAL MODELS
TOMOGRAPHY