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classdef us_contrast < handle
%-- Class defining a testing procedure to assess contrast performance of
%-- beamforming techniques in ultrasound imaging
%-- Authors: Olivier Bernard (olivier.bernard@creatis.insa-lyon.fr)
%-- Alfonso Rodriguez-Molares (alfonso.r.molares@ntnu.no)
%-- $Date: 2016/03/01 $
%------------------------------------------------------
%------------------------------------------------------
%-- Class attributes
properties (SetAccess = public)
%-- administration
name %-- String containing the name of the us_field_simulation
author %-- String containing the name of the author(s) of the beamformed image
affiliation %-- String containing the affiliation of the author(s) of the beamformed image
creation_date %-- String containing the date the reconstruction was created
%-- Common attributes
pht
scan
image
score
flagDisplay
dynamic_range
end
%-- data
properties (SetAccess = private)
padding
end
%------------------------------------------------------
%------------------------------------------------------
%-- Class methods
%-- Constructor
methods (Access = public)
function h = us_contrast(input_name)
if exist('input_name')
h.name= input_name;
else
h.name = ' ';
end
h.creation_date=sprintf('%d/%02d/%d %02d:%02d:%02.2f',clock);
h.author = ' ';
h.affiliation = ' ';
h.dynamic_range = 60;
h.score = zeros(1,5);
h.flagDisplay = 0;
h.padding = 1;
end
end
%-- set methods, input format check
methods
%-- name
function set.name(h,input)
assert(isstr(input), 'Wrong format of the beamformed data name. It should be a string.');
h.name = input;
end
%-- author
function set.author(h,input)
assert(isstr(input), 'Wrong format of the author. It should be a string.');
h.author = input;
end
%-- affiliation
function set.affiliation(h,input)
assert(isstr(input), 'Wrong format of the affiliation. It should be a string.');
h.affiliation = input;
end
%-- creation_date
function set.creation_date(h,input_date)
assert(isstr(input_date), 'Wrong format of the creation date. It should be a string.');
h.creation_date = input_date;
end
%-- pht
function set.pht(h,input)
assert(isa(input,'us_phantom'), 'Wrong format of the phantom. It should be a US_PHANTOM class.');
h.pht = input;
end
%-- scan
function set.scan(h,input)
assert(isa(input,'linear_scan'), 'Wrong format of the scan. It should be a LINEAR_SCAN class.');
h.scan = input;
end
%-- image
function set.image(h,input)
assert(isa(input,'us_image'), 'Wrong format of the image. It should be a US_IMAGE class.');
h.image = input;
end
%-- flag for display
function set.flagDisplay(h,input)
assert(numel(input)==1&&isnumeric(input), 'Wrong format of the flag for display. It should be a numeric scalar');
h.flagDisplay = input;
end
%-- flag for display
function set.dynamic_range(h,input)
assert(numel(input)==1&&isnumeric(input), 'Wrong format of the dynamic range. It should be a numeric scalar');
h.dynamic_range = input;
end
end
%-- Main method call to generate phantom
methods (Access = public)
function evaluate(h)
%-- Define parameters / variables
nb_frames = length(h.image.number_plane_waves);
frame_list = 1:nb_frames;
h.score = zeros(nb_frames,length(h.pht.occlusionDiameter));
%-- Setting axis limits (mm)
x_lim = [min(h.scan.x_matrix(:)) max(h.scan.x_matrix(:))]*1e3;
z_lim = [min(h.scan.z_matrix(:)) max(h.scan.z_matrix(:))]*1e3;
x = h.scan.x_matrix;
z = h.scan.z_matrix;
%-- Setting dynamic range for visualization
vrange = [-h.dynamic_range 0];
%-- Loop over frames
for f=frame_list
%-- Compute dB values
env = h.image.data(:,:,f);
bmode = 20*log10(env./max(env(:)));
%-- Ploting image reconstruction
if (h.flagDisplay==1)
figure(1); set(gca,'fontsize',16);
imagesc((h.scan.x_axis)*1e3,(h.scan.z_axis)*1e3,bmode);
shading flat; colormap gray; caxis(vrange); colorbar; hold on;
axis equal manual; xlabel('x [mm]'); ylabel('z [mm]'); axis([x_lim z_lim]);
set(gca,'YDir','reverse');
set(gca,'fontsize',16);
title(sprintf('%s\n %d plane waves',char(h.image.name),h.image.number_plane_waves(f)));
pause(0.1);
end
%-- Main loop
for k=1:length(h.pht.occlusionDiameter)
r = h.pht.occlusionDiameter(k) / 2;
rin = r - h.padding * h.pht.lateralResolution;
rout1 = r + h.padding * h.pht.lateralResolution;
rout2 = 1.2*sqrt(rin^2+rout1^2);
xc = h.pht.occlusionCenterX(k);
zc = h.pht.occlusionCenterZ(k);
maskOcclusion = ( ((x-xc).^2 + (z-zc).^2) <= r^2);
maskInside = ( ((x-xc).^2 + (z-zc).^2) <= rin^2);
maskOutside = ( (((x-xc).^2 + (z-zc).^2) >= rout1^2) & ...
(((x-xc).^2 + (z-zc).^2) <= rout2^2) );
%-- Ploting image reconstruction
if (h.flagDisplay==1)
hold on; contour(h.scan.x_axis*1e3,h.scan.z_axis*1e3,maskOcclusion,[1 1],'y-','linewidth',2);
hold on; contour(h.scan.x_axis*1e3,h.scan.z_axis*1e3,maskInside,[1 1],'r-','linewidth',2);
hold on; contour(h.scan.x_axis*1e3,h.scan.z_axis*1e3,maskOutside,[1 1],'g-','linewidth',2);
pause(0.1);
end
inside = bmode(maskInside);
outside = bmode(maskOutside);
value = 20 * log10( abs(mean(inside)-mean(outside)) / ...
sqrt((var(inside)+var(outside))/2) );
h.score(f,k) = round(value*10) / 10;
end
end
end
end
%------------------------------------------------------
%-- Get methods
%-- Methods call to get attribute
methods (Access = public)
function data = getNumberPlaneWavesList(h)
data = h.image.number_plane_waves;
end
end
end