DocumentCode
1010275
Title
Study of reprojection methods in terms of their resolution loss and sampling errors
Author
Yu, Dan-Chu ; Huang, Sung-Cheng
Author_Institution
Div. of Nucl. Med. & Biophys., California Univ., Los Angeles, CA, USA
Volume
40
Issue
4
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
1174
Lastpage
1178
Abstract
Two reprojection methods are studied to their resolution loss and sampling errors. The methods are area weighted convolution (AWC), and Gaussian pixel convolution (GPC). Modulation transfer function (MTF) is used to evaluate the resolution loss, and the residual sum of squares (RSS) of the difference between the reprojected sinogram and a reference sinogram corresponding to infinite sampling is used to assess the sampling errors. The resolution loss is found to be determined by the reconstruction filter, the linear interpolation in the backprojection, and the convolution kernel. Sampling errors are found to be angle-dependent, and the angular dependency is more pronounced for the GPC. To avoid significant sampling errors, the width of the convolution kernel needs to be two times larger than the pixel distance. Large sub-binning size of the projection array leads to interpolation error, which is more pronounced for AWC than for GPC. For the GPC method, with pixel size twice the pixel distance, the sampling error can be greatly reduced. The sampling error can be reduced without additional resolution loss by using a smaller pixel distance
Keywords
medical image processing; patient diagnosis; Gaussian pixel convolution; area weighted convolution; backprojection; convolution kernel; interpolation error; linear interpolation; reconstruction filter; reprojected sinogram; reprojection methods; resolution loss; sampling errors; Convolution; Forward contracts; Image reconstruction; Image sampling; Interpolation; Kernel; Nonlinear filters; Nuclear medicine; Pixel; Sampling methods;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.256732
Filename
256732
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