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MeasureImageUniformity.m
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function [Result_IU, Parameter] = MeasureImageUniformity( Image, Parameter )
% Copyright (C) 2013 Heidelberg University
%
% Developed at CKM (Computerunterstützte Klinische Medizin),
% Medical Faculty Mannheim, Heidelberg University, Mannheim,
% Germany
%
%
% LICENCE
%
% CKM PhM Software Library, Release 1.0 (c) 2013, Heidelberg
% University (the "Software")
%
% The Software remains the property of Heidelberg University ("the
% University").
%
% The Software is distributed "AS IS" under this Licence solely for
% non-commercial use in the hope that it will be useful, but in order
% that the University as a charitable foundation protects its assets for
% the benefit of its educational and research purposes, the University
% makes clear that no condition is made or to be implied, nor is any
% warranty given or to be implied, as to the accuracy of the Software,
% or that it will be suitable for any particular purpose or for use
% under any specific conditions. Furthermore, the University disclaims
% all responsibility for the use which is made of the Software. It
% further disclaims any liability for the outcomes arising from using
% the Software.
%
% The Licensee agrees to indemnify the University and hold the
% University harmless from and against any and all claims, damages and
% liabilities asserted by third parties (including claims for
% negligence) which arise directly or indirectly from the use of the
% Software or the sale of any products based on the Software.
%
% No part of the Software may be reproduced, modified, transmitted or
% transferred in any form or by any means, electronic or mechanical,
% without the express permission of the University. The permission of
% the University is not required if the said reproduction, modification,
% transmission or transference is done without financial return, the
% conditions of this Licence are imposed upon the receiver of the
% product, and all original and amended source code is included in any
% transmitted product. You may be held legally responsible for any
% copyright infringement that is caused or encouraged by your failure to
% abide by these terms and conditions.
%
% You are not permitted under this Licence to use this Software
% commercially. Use for which any financial return is received shall be
% defined as commercial use, and includes (1) integration of all or part
% of the source code or the Software into a product for sale or license
% by or on behalf of Licensee to third parties or (2) use of the
% Software or any derivative of it for research with the final aim of
% developing software products for sale or license to a third party or
% (3) use of the Software or any derivative of it for research with the
% final aim of developing non-software products for sale or license to a
% third party, or (4) use of the Software to provide any service to an
% external organisation for which payment is received. If you are
% interested in using the Software commercially, please contact
% Prof. Dr. Lothar Schad (lothar.schad@medma.uni-heidelberg.de).
%
%Method Description:
%-------------------
% Measurement of the Image Uniformity
%
% Result_IU contains:
%
% 1) CenterX
% 2) CenterY
% 3) Radius
% 4) Span
% 5) Midrange
% 6) IntegralUniformity
[SizeY,SizeX] = size( Image );
%Determine the position of the phantom inside of the image as well as
%its radius...
[CenterX, CenterY, Radius, ~, ~] = GetPhantomCenter( Image, Parameter, 0, 0, 20 );
%... and store the results in the Result_IU struct
Result_IU.CenterX = CenterX;
Result_IU.CenterY = CenterY;
Result_IU.Radius = Radius;
%depending on the phantom-radius, calculate the Radius of the ROI,
%that's being used to measure the image uniformity
ROIRadius = Radius * Parameter.IU.RadialSection;
%Draw the ROI to the current plot
DrawCircle(CenterX, CenterY, ROIRadius, 'red')
%Get a vector containing all image-pixel-values lying in the ROI
%use smoothed image for minimum and maximum determination to be less
%sensitive to noise
GaussFilt = fspecial('gaussian', round(0.1*[SizeY,SizeX]), 1.0);
ImageSmooth = imfilter(Image,GaussFilt);
CircularROI = GetCircularROI( ImageSmooth, CenterX, CenterY, ROIRadius );
%Get min and max values of all ROI-pixels
Smax = max(max(CircularROI));
Smin = min(min(CircularROI));
Result_IU.Smax = Smax;
Result_IU.Smin = Smin;
%Calculate Span and Midrange of all ROI-pixels
Result_IU.Span = (Smax - Smin) / 2;
Result_IU.Midrange = (Smax + Smin) / 2;
%Determine the integraluniformity where 1 is an optimal value
%(perfectly homogeneous ROI-area) and 0 is the worst case
Result_IU.IntegralUniformity = 1 - Result_IU.Span/Result_IU.Midrange;
title(['Intergal Uniformity = ',num2str(Result_IU.IntegralUniformity)])
end