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param.dAngle = 360 ; % degree
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param.nView = 360 ; % # of unit
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param.dView = param .dAngle / param .nView ; % degree
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- param.pdView = linspace(0 , param .dAngle - param .dAngle / param .nView , param .nView );
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param.DSO = 400 ; % mm
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param.DSD = 800 ; % mm
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param.nImgX = 256 ; % # of elements
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param.dOffsetImgY = 0 ; % # of elements
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- param.dOffsetImgX = 0 ; % # of elements
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+ param.dOffsetImgX = 0 ; % # of elements4
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%% Load image
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load(' XCAT512.mat' );
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prj = projection(input , param );
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toc ;
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- disp (' filtering - implementation of Ch.3 Equation (3.29) & (3.30)' );
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+ disp (' filtering - implementation of Ch.3 Equation (3.28) & (3. 29) & (3.30)' );
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tic ;
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prj_flt = filtering(prj , param );
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toc ;
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% Please read the Ch. 3 Image Reconstruction
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- % Implementation for filtering operator based on Ch. 3 Equation (3.29) & (3.30)
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+ % Implementation for filtering operator based on Ch. 3 Equation (3.28) & (3. 29) & (3.30)
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% Filtering operator is implemented by both convolution and FFT versions.
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function [pdFltY , pdFlt ] = filtering(pdY , param )
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