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Author van Velden, F.H.P. ♦ Kloet, R.W. ♦ van Berckel, B.N.M. ♦ Molthoff, C.F.M. ♦ Lammertsma, A.A. ♦ Boellaard, R.
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 Filling ♦ Image reconstruction ♦ Interpolation ♦ Image segmentation ♦ Humans ♦ Positron emission tomography ♦ Reconstruction algorithms ♦ Detectors ♦ Head ♦ Iterative methods ♦ positron emission tomography ♦ High-Resolution Research Tomograph (HRRT) ♦ image reconstruction ♦ missing data estimation ♦ Missing data estimation ♦ HRRT ♦ Positron emission tomography ♦ Image reconstruction
Abstract The high-resolution research tomograph (HRRT) is a dedicated human brain positron emission tomography scanner. Currently available iterative reconstruction algorithms show bias due to nonnegativity constraints. Consequently, implementation of 3-D filtered backprojection (3-D-FBP) is of interest. To apply 3-D-FBP all missing data including those due to gaps between detector heads need to be estimated. The aim of this study was to evaluate various gap filling strategies for 3-D-FBP reconstructions of HRRT data, such as linear and bilinear interpolation or constraint Fourier space gap filling (confosp). Furthermore, missing planes were estimated using segment 0 image data only (noniterative) or by using reconstructed images based on all previous segments (iterative method). Use of bilinear interpolation showed worst correspondence between reconstructed and true activity concentration, especially for small structures. Moreover, phantom data indicated that use of linear interpolation resulted in artifacts in planes located near the edge of the field-of-view. Use of confosp did not show these artifacts. Iterative estimations of the missing planes for |segments| > 0 improved image quality at the cost of more computation time. Therefore, use of confosp for filling sinogram gaps with both iterative and noniterative estimation of missing planes are recommended for quantitative 3-D-FBP of HRRT studies.
Description Author affiliation :: Dept. of Nucl. Med. & PET Res., VU Univ. Med. Center, Amsterdam
ISSN 02780062
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-07-01
Publisher Place U.S.A.
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Volume Number 27
Issue Number 7
Size (in Bytes) 2.02 MB
Page Count 9
Starting Page 934
Ending Page 942


Source: IEEE Xplore Digital Library