File size: 5,237 Bytes
96c0ff0 | 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 | %% MATLAB Script for displaying real-time B-Mode data in files named "*rt_recon.mat"
% See "bmode_image_plot.m" for displaying 2D and 3D B-Mode data in files
% named "*3d_recon.mat"
% See "image_recon_rt.m" for reconstructing B-Mode data from raw RF data in
% files names "*_raw.zip"
clear;
% clc;
close;
%% Image params
log_compression = true;
dB_range = 40;
orthogonal = false;
slice_dir = 'yz';
video_out = false;
frame_rate = 5.394;
averaging = 0;
%% Load saved B-Mode complex data for plotting in MATLAB/
% exporting into image data for Origin
%Data file path
filepath = './datasets_lung/';
%File name
filename = 'lung_dataset1_rt_recon';
%Load Complex data
bmode_data_struct = load(strcat(filepath, filename, '.mat'));
%Assign variables
bmode_data = bmode_data_struct.bmode_data;
zI = bmode_data_struct.zI;
if (slice_dir=='xz')
xI = bmode_data_struct.xI;
elseif (slice_dir=='yz')
yI = bmode_data_struct.yI;
end
if(averaging)
bmode_data = sum(abs(bmode_data), 3);
end
N_frame = size(bmode_data, 3);
%% Imaging
if(N_frame==1)
%% Plot 2-D images
bmode_data = abs(bmode_data);
if(log_compression)
%Log compression
b_mode_temp = 20*log10(bmode_data/max(max(bmode_data)));
b_mode = (b_mode_temp+dB_range).*(b_mode_temp>-dB_range);
b_mode = uint8(255*b_mode/dB_range);
%Plot Image
figure();
if(slice_dir == "xz")
hP = pcolor(xI*1e2,zI*1e2,b_mode);
elseif(slice_dir == "yz")
hP = pcolor(yI*1e2,zI*1e2,b_mode);
end
set(gca, 'XAxisLocation', 'bottom', 'XTickMode', 'auto');
shading interp, axis ij tight equal
c = colorbar;
clim([0 255]);
c.YTick = [0 255];
c.YTickLabel = {'0 dB',strcat(num2str(dB_range), ' dB')};
xlabel('X [cm]')
ylabel('Z (depth) [cm]')
% set(gca,'XColor','none','box','off')
title("Lung - XZ Slice");
colormap hot
% title(test_name, 'Interpreter', 'none');
% view(2)
% hP.DataTipTemplate.DataTipRows(3).Value = 'CData';
else
%Normalization
b_mode_temp = bmode_data/max(max(bmode_data));
%Plot Image
figure();
if(slice_dir == "xz")
hP = pcolor(xI*1e2,zI*1e2,b_mode_temp);
elseif(slice_dir == "yz")
hP = pcolor(yI*1e2,zI*1e2,b_mode_temp);
end
shading interp, axis equal ij tight
c = colorbar;
xlabel('[cm]')
clim([0 1]);
c.YTick = [0 1];
c.YTickLabel = {'0','1'};
ylabel('[cm]')
% set(gca,'XColor','none','box','off')
colormap hot
% title(test_name, 'Interpreter', 'none');
% view(2)
% hP.DataTipTemplate.DataTipRows(3).Value = 'CData';
end
else
%% Multiframe
%Magnitude of complex number
bmode_data = abs(bmode_data);
% bmode_data_diff = bmode_data(:, :, 2:end) - bmode_data(:, :, 1:end-1);
%
% bmode_data = abs(bmode_data_diff);
% bmode_avg = mean(bmode_data, 3);
% bmode_data = abs(bmode_data - bmode_avg);
%Log compression
b_mode_temp = 20*log10(bmode_data/max(bmode_data,[],'all'));
b_mode = (b_mode_temp+dB_range).*(b_mode_temp>-dB_range);
b_mode = uint8(255*b_mode/dB_range);
% frame 27, 39, 51, 65, 75, 92
figure();
for i=1:N_frame
% for i=1:9
% subplot(1, 3, i);
% figure();
if(slice_dir == "xz")
hP = pcolor(xI*1e2,zI*1e2,b_mode(:,:,i));
elseif(slice_dir == "yz")
hP = pcolor(yI*1e2,zI*1e2,b_mode(:,:,i));
end
shading interp, axis equal ij tight
c = colorbar;
clim([0 255]);
c.YTick = [0 255];
c.YTickLabel = {'0 dB',strcat(num2str(dB_range), ' dB')};
ylabel('Z (depth) [cm]')
if(slice_dir=='xz')
xlabel('X [cm]');
else
xlabel('Y [cm]');
end
% set(gca,'XColor','none','box','off')
colormap hot
% title("Frame: "+num2str(i), 'Interpreter', 'none');
% title("Lung – YZ section, Time = "+num2str(round((i-1)/frame_rate, 2))+" sec")
% title("Lung – XZ");
drawnow limitrate;
F = getframe(gcf);
img{i} = frame2im(F);
end
%% write video
if(video_out)
%Find frame with minimum elements (/3 for uint8)
elementCounts = cellfun(@numel, img)/3;
[~, min_index] = min(elementCounts);
%Frame parameters
frameheight = size(img{min_index},1);
framewidth = size(img{min_index},2);
%Write Video for RT multiframe
% create the video writer with 1 fps
writerObj = VideoWriter(strcat(filepath, filename, '.mp4'), 'MPEG-4');
% set the seconds per image
writerObj.FrameRate = frame_rate;
% open the video writer
open(writerObj);
% write the frames to the video
for i=1:N_frame-1
% convert the image to a frame
img{i} = imresize(img{i},[frameheight framewidth]);
writeVideo(writerObj, img{i});
end
% close the writer object
close(writerObj);
end
end
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