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function Res = aedes_roi_stats(DATA,ROI) | |
% AEDES_ROI_STATS - Calculate ROI statistics | |
% | |
% | |
% Synopsis: | |
% | |
% Description: | |
% | |
% Examples: | |
% | |
% See also: | |
% | |
% This function is a part of Aedes - A graphical tool for analyzing | |
% medical images | |
% | |
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi> | |
% | |
% Department of Physics, Department of Neurobiology | |
% University of Kuopio, FINLAND | |
% | |
% This program may be used under the terms of the GNU General Public | |
% License version 2.0 as published by the Free Software Foundation | |
% and appearing in the file LICENSE.TXT included in the packaging of | |
% this program. | |
% | |
% This program is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE | |
% WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. | |
Res = []; | |
%% Check input arguments | |
if nargin<2 | |
error('Two input arguments are required') | |
elseif nargin>2 | |
error('Too many input arguments') | |
end | |
% Ensure that DATA is a cell array | |
if ~iscell(DATA) | |
DATA = {DATA}; | |
end | |
% if ROI is empty, return empty | |
if isempty(ROI) | |
return | |
end | |
% Check if data is in mixed form | |
if length(DATA)>1 || ndims(DATA{1}.FTDATA)==2 | |
isDataMixed = true; | |
else | |
isDataMixed = false; | |
end | |
% Generate timestamp | |
DateTime = datestr(now); | |
% Generate file info | |
for ii=1:length(DATA) | |
FileInfo.DataFileName{ii} = DATA{ii}.HDR.fname; | |
FileInfo.DataPathName{ii} = DATA{ii}.HDR.fpath; | |
end | |
Res.DateTime = DateTime; | |
Res.FileInfo = FileInfo; | |
Res.Stat = []; | |
for ii=1:length(ROI) | |
if isDataMixed | |
Res.Stat(ii).FileName = {}; | |
end | |
for kk=1:length(DATA) | |
% Statistics for mixed data type | |
if isDataMixed | |
% Get ROI data | |
data = DATA{kk}.FTDATA(ROI(ii).voxels{kk}); | |
data = double(data); | |
Res.Stat(ii).FileName{kk,1} = DATA{kk}.HDR.fpath; | |
Res.Stat(ii).FileName{kk,2} = DATA{kk}.HDR.fname; | |
if kk==1 | |
Res.Stat(ii).isMixed = true; | |
Res.Stat(ii).Label = ROI(ii).label; | |
end | |
if isempty(data) | |
Res.Stat(ii).Mean(kk) = NaN; | |
Res.Stat(ii).Std(kk) = NaN; | |
Res.Stat(ii).Sum(kk) = NaN; | |
Res.Stat(ii).Max(kk) = NaN; | |
Res.Stat(ii).Min(kk) = NaN; | |
Res.Stat(ii).PixelCount(kk) = 0; | |
else | |
Res.Stat(ii).Mean(kk) = mean(data); | |
Res.Stat(ii).Std(kk) = std(data); | |
Res.Stat(ii).Sum(kk) = sum(data); | |
Res.Stat(ii).Max(kk) = max(data); | |
Res.Stat(ii).Min(kk) = min(data); | |
Res.Stat(ii).PixelCount(kk) = length(data); | |
end | |
else % Statistics for normal type data | |
%% Overall results for current ROI | |
data=DATA{kk}.FTDATA(ROI(ii).voxels{kk}); | |
data = double(data); | |
Res.Stat(ii).isMixed = false; | |
Res.Stat(ii).Label = ROI(ii).label; | |
Res.Stat(ii).Mean = mean(data); | |
Res.Stat(ii).Std = std(data); | |
Res.Stat(ii).Sum = sum(data); | |
Res.Stat(ii).Max = max(data); | |
Res.Stat(ii).Min = min(data); | |
Res.Stat(ii).PixelCount = length(data); | |
if isempty(data) | |
Res.Stat(ii).Mean = NaN; | |
Res.Stat(ii).Std = NaN; | |
Res.Stat(ii).Sum = NaN; | |
Res.Stat(ii).Max = NaN; | |
Res.Stat(ii).Min = NaN; | |
Res.Stat(ii).PixelCount = 0; | |
end | |
%% Calculate results in X direction | |
Res.Stat(ii).XD.Mean = []; | |
Res.Stat(ii).XD.Std = []; | |
Res.Stat(ii).XD.Sum = []; | |
Res.Stat(ii).XD.Max = []; | |
Res.Stat(ii).XD.Min = []; | |
Res.Stat(ii).XD.PixelCount = []; | |
for jj=1:size(ROI(ii).voxels{kk},1) | |
roix=ROI(ii).voxels{kk}(jj,:,:,:); | |
datax = DATA{kk}.FTDATA(jj,:,:,:); | |
tmpx=datax(roix); | |
tmpx=double(tmpx); | |
if isempty(tmpx) | |
Res.Stat(ii).XD.Mean(end+1) = NaN; | |
Res.Stat(ii).XD.Std(end+1) = NaN; | |
Res.Stat(ii).XD.Sum(end+1) = NaN; | |
Res.Stat(ii).XD.Max(end+1) = NaN; | |
Res.Stat(ii).XD.Min(end+1) = NaN; | |
Res.Stat(ii).XD.PixelCount(end+1) = 0; | |
else | |
Res.Stat(ii).XD.Mean(end+1) = mean(tmpx); | |
Res.Stat(ii).XD.Std(end+1) = std(tmpx); | |
Res.Stat(ii).XD.Sum(end+1) = sum(tmpx); | |
Res.Stat(ii).XD.Max(end+1) = max(tmpx); | |
Res.Stat(ii).XD.Min(end+1) = min(tmpx); | |
Res.Stat(ii).XD.PixelCount(end+1) = length(tmpx); | |
end | |
end | |
%% Calculate results in Y direction | |
Res.Stat(ii).YD.Mean = []; | |
Res.Stat(ii).YD.Std = []; | |
Res.Stat(ii).YD.Sum = []; | |
Res.Stat(ii).YD.Max = []; | |
Res.Stat(ii).YD.Min = []; | |
Res.Stat(ii).YD.PixelCount = []; | |
for jj=1:size(ROI(ii).voxels{kk},2) | |
roiy=ROI(ii).voxels{kk}(:,jj,:,:); | |
datay = DATA{kk}.FTDATA(:,jj,:,:); | |
tmpy=datay(roiy); | |
tmpy=double(tmpy); | |
if isempty(tmpy) | |
Res.Stat(ii).YD.Mean(end+1) = NaN; | |
Res.Stat(ii).YD.Std(end+1) = NaN; | |
Res.Stat(ii).YD.Sum(end+1) = NaN; | |
Res.Stat(ii).YD.Max(end+1) = NaN; | |
Res.Stat(ii).YD.Min(end+1) = NaN; | |
Res.Stat(ii).YD.PixelCount(end+1) = 0; | |
else | |
Res.Stat(ii).YD.Mean(end+1) = mean(tmpy); | |
Res.Stat(ii).YD.Std(end+1) = std(tmpy); | |
Res.Stat(ii).YD.Sum(end+1) = sum(tmpy); | |
Res.Stat(ii).YD.Max(end+1) = max(tmpy); | |
Res.Stat(ii).YD.Min(end+1) = min(tmpy); | |
Res.Stat(ii).YD.PixelCount(end+1) = length(tmpy); | |
end | |
end | |
%% Calculate results in Z direction | |
Res.Stat(ii).ZD.Mean = []; | |
Res.Stat(ii).ZD.Std = []; | |
Res.Stat(ii).ZD.Sum = []; | |
Res.Stat(ii).ZD.Max = []; | |
Res.Stat(ii).ZD.Min = []; | |
Res.Stat(ii).ZD.PixelCount = []; | |
for jj=1:size(ROI(ii).voxels{kk},3) | |
roiz=ROI(ii).voxels{kk}(:,:,jj,:); | |
dataz = DATA{kk}.FTDATA(:,:,jj,:); | |
tmpz=dataz(roiz); | |
tmpz = double(tmpz); | |
if isempty(tmpz) | |
Res.Stat(ii).ZD.Mean(end+1) = NaN; | |
Res.Stat(ii).ZD.Std(end+1) = NaN; | |
Res.Stat(ii).ZD.Sum(end+1) = NaN; | |
Res.Stat(ii).ZD.Max(end+1) = NaN; | |
Res.Stat(ii).ZD.Min(end+1) = NaN; | |
Res.Stat(ii).ZD.PixelCount(end+1) = 0; | |
else | |
Res.Stat(ii).ZD.Mean(end+1) = mean(tmpz); | |
Res.Stat(ii).ZD.Std(end+1) = std(tmpz); | |
Res.Stat(ii).ZD.Sum(end+1) = sum(tmpz); | |
Res.Stat(ii).ZD.Max(end+1) = max(tmpz); | |
Res.Stat(ii).ZD.Min(end+1) = min(tmpz); | |
Res.Stat(ii).ZD.PixelCount(end+1) = length(tmpz); | |
end | |
end | |
%% Calculate results in V direction | |
Res.Stat(ii).VD.Mean = []; | |
Res.Stat(ii).VD.Std = []; | |
Res.Stat(ii).VD.Sum = []; | |
Res.Stat(ii).VD.Max = []; | |
Res.Stat(ii).VD.Min = []; | |
Res.Stat(ii).VD.PixelCount = []; | |
for jj=1:size(ROI(ii).voxels{kk},4) | |
roiv=ROI(ii).voxels{kk}(:,:,:,jj); | |
datav = DATA{kk}.FTDATA(:,:,:,jj); | |
tmpv=datav(roiv); | |
tmpv=double(tmpv); | |
if isempty(tmpv) | |
Res.Stat(ii).VD.Mean(end+1) = NaN; | |
Res.Stat(ii).VD.Std(end+1) = NaN; | |
Res.Stat(ii).VD.Sum(end+1) = NaN; | |
Res.Stat(ii).VD.Max(end+1) = NaN; | |
Res.Stat(ii).VD.Min(end+1) = NaN; | |
Res.Stat(ii).VD.PixelCount(end+1) = 0; | |
else | |
Res.Stat(ii).VD.Mean(end+1) = mean(tmpv); | |
Res.Stat(ii).VD.Std(end+1) = std(tmpv); | |
Res.Stat(ii).VD.Sum(end+1) = sum(tmpv); | |
Res.Stat(ii).VD.Max(end+1) = max(tmpv); | |
Res.Stat(ii).VD.Min(end+1) = min(tmpv); | |
Res.Stat(ii).VD.PixelCount(end+1) = length(tmpv); | |
end | |
end | |
end | |
end | |
end | |
% - EOF - |