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7b4139b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 | function exec_evaluation_contrast_speckle(path_scan,path_phantom,path_img,flag_simu,flag_display,path_output)
%-- Function used for the evaluation of contrast and speckle quality in ultrasound imaging
%-- Authors: Olivier Bernard (olivier.bernard@creatis.insa-lyon.fr)
%-- Alfonso Rodriguez-Molares (alfonso.r.molares@ntnu.no)
%-- $Date: 2016/03/01 $
%-- Parameters
category = [1 11 75];
%-- Convert input argument received as string
flag_simu = uint8(str2num(flag_simu)); %-- convert string back to int
flag_display = uint8(str2num(flag_display)); %-- convert string back to int
%-- Read input data
scan = linear_scan();
scan.read_file(path_scan);
pht = us_phantom();
pht.read_file(path_phantom);
image = us_image();
image.read_file(path_img);
%-- Perform testing for contrast
testing_contrast = us_contrast();
testing_contrast.pht = pht;
testing_contrast.scan = scan;
testing_contrast.image = image;
testing_contrast.flagDisplay = flag_display;
testing_contrast.evaluate();
%-- Perform testing for speckle quality
testing_speckle = us_speckle_quality();
testing_speckle.pht = pht;
testing_speckle.scan = scan;
testing_speckle.image = image;
testing_speckle.flagDisplay = flag_display;
testing_speckle.evaluate();
%-- Check categories
pw_list = testing_contrast.getNumberPlaneWavesList();
indexCategory = [0 0 0];
selected_pw = [];
%-- Extract which category among the 3 main ones
its = 0;
for c=1:length(category)
idx = find(pw_list==category(c));
if (~isempty(idx))
indexCategory(c) = idx;
its = its+1;
selected_pw(its) = category(c);
end
end
%-- Extract bonus category
pw_bonus = setdiff(pw_list,selected_pw);
if ( (length(pw_bonus)>1) || isempty(pw_bonus) )
pw_bonus = 0;
end
%-- Get output result and store it in a file
fid = fopen(path_output,'w');
%-- Store main category results
for c=1:length(category)
%-- Write result
fprintf(fid,'#C%d \n\n',category(c));
if ( indexCategory(c)~=0 )
idx = indexCategory(c);
score_contrast = squeeze(testing_contrast.score(idx,:,:));
writeScoreContrast(fid,score_contrast,flag_simu);
score_speckle = squeeze(testing_speckle.score(idx,:));
writeScoreSpeckle(fid,score_speckle);
end
fprintf(fid,'\n#END\n\n');
end
%-- Store bonus category results
if (pw_bonus == 0)
fprintf(fid,'#BONUS-NONE \n\n');
else
fprintf(fid,'#BONUS-C%d \n\n',pw_bonus);
idx = find(pw_list==pw_bonus);
score = squeeze(testing_contrast.score(idx(1),:,:));
writeScoreContrast(fid,score,flag_simu);
score_speckle = squeeze(testing_speckle.score(idx(1),:));
writeScoreSpeckle(fid,score_speckle);
end
fprintf(fid,'\n#END\n\n');
fclose(fid);
end
%----------------------------------------------------------------
%----------------------------------------------------------------
%----------------------------------------------------------------
%-- Auxillary functions
%-- Write contrast results
function writeScoreContrast(fid,score,flag_simu)
if (flag_simu==1)
writeSimulationScoreContrast(fid,score);
else
writeExperimentScoreContrast(fid,score);
end
end
%-- Write contrast results corresponding to numerical phantom
function writeSimulationScoreContrast(fid,score)
%-- Mean axial and lateral values
fprintf(fid,'Mean contrast scores (dB): %.2f \n\n',mean(score));
% fprintf(fid,'Mean contrast scores (dB) \n');
% fprintf(fid,'%.2f \n\n',mean(score));
%-- Left column
fprintf(fid,'Left column targets \n');
for k=4:6
fprintf(fid,'%.2f\n',score(k));
end
fprintf(fid,'\n');
%-- Middle column
fprintf(fid,'Middle column targets \n');
for k=1:3
fprintf(fid,'%.2f\n',score(k));
end
fprintf(fid,'\n');
%-- Right column
fprintf(fid,'Right column targets \n');
for k=7:9
fprintf(fid,'%.2f\n',score(k));
end
fprintf(fid,'\n');
end
%-- Write contrast results corresponding to ex-vivo phantom
function writeExperimentScoreContrast(fid,score)
%-- Mean axial and lateral values
fprintf(fid,'Mean contrast scores (dB): %.2f \n\n',mean(score));
% fprintf(fid,'Mean contrast scores (dB) \n');
% fprintf(fid,'%.2f\n\n',mean(score));
%-- Middle column
fprintf(fid,'Middle column targets \n');
for k=1:2
fprintf(fid,'%.2f\n',score(k));
end
fprintf(fid,'\n');
end
%-- Write speckle results
function writeScoreSpeckle(fid,score)
%-- Speckle score display (0: test failed || 1: test passed)
fprintf(fid,'PENALITY: ');
if ~isempty(find(score==0,1))
fprintf(fid,'-40\n');
else
fprintf(fid,'0\n');
end
fprintf(fid,'Speckle quality (from Kolmogorov-Smirnov test) \n');
end
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