Download data/multiframe_bmode_plot.m from introvoyz045/flexus: direct link, hf CLI and curl.
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https://huggingface.co/datasets/introvoyz045/flexus/resolve/main/data/multiframe_bmode_plot.m
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hf download hf://datasets/introvoyz045/flexus/data/multiframe_bmode_plot.m
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curl -L -o multiframe_bmode_plot.m https://huggingface.co/datasets/introvoyz045/flexus/resolve/main/data/multiframe_bmode_plot.m
5.24 kB
| %% 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 | |