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|
unit anacom;
interface
{$H+}
uses
define_types,SysUtils,
part,StatThds,statcr,StatThdsUtil,Brunner,DISTR,nifti_img, hdr,filename,
Messages, Classes, Graphics, Controls, Forms, Dialogs,
StdCtrls, ComCtrls,ExtCtrls,Menus, overlap,ReadInt,lesion_pattern,stats,LesionStatThds,nifti_hdr,
{$IFDEF FPC} LResources,gzio2,
{$ELSE} gziod,associate,{$ENDIF} //must be in search path, e.g. C:\pas\mricron\npm\math
{$IFNDEF UNIX} Windows, {$ENDIF}
upower,firthThds,firth,IniFiles,cpucount,userdir,math,
regmult,utypes;
//procedure DoAnaCOM;
function AnacomLesionNPMAnalyze (var lImages: TStrings; var lMaskHdr: TMRIcroHdr; lnCrit,lRun,lnControl: integer; var lSymptomRA,lControlSymptomRA: SingleP;var lFactname,lOutName: string; lttestIn,lBMIn: boolean): boolean;
implementation
uses npmform;
{$DEFINE NOTmedianfx}
function AnacomLesionNPMAnalyze (var lImages: TStrings; var lMaskHdr: TMRIcroHdr; lnCrit,lRun,lnControl: integer; var lSymptomRA,lControlSymptomRA: SingleP;var lFactname,lOutName: string; lttestIn,lBMIn: boolean): boolean;
label
123,667;
var
lOutNameMod: string;
lPlankImg: byteP;
lOutImgSum,lOutImgBM,lOutImgT,
lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM,lCombinedSymptomRA: singleP;
lPos,lPlank,lThread,lnControlsPlusPatients: integer;
lVolVox,lMinMask,lMaxMask,lTotalMemory,lnPlanks,lVoxPerPlank,
lThreadStart,lThreadEnd,lThreadInc,lnLesion,lnPermute,
lPos2,lPos2Offset,lStartVox,lEndVox,lPlankImgPos,lnTests,lnVoxTested,lPosPct: int64;
lT,lBMz, lSum,lThresh,lThreshBonf,lThreshPermute,lThreshNULP :double;
lObsp: pointer;
lObs: Doublep0;
lStatHdr: TNIfTIhdr;
lFdata: file;
lRanOrderp: pointer;
lRanOrder: Doublep0;
lBM,lttest,lLtest: boolean;
lnControlNeg: integer;
{$IFDEF medianfx}
lmedianFX,lmeanFX,lsummean,lsummedian: double;
lmediancount: integer;
{$ENDIF}
begin
lnControlNeg := lnControl; //negative for binomial test
lttest := lttestin;
lbm := lbmin;
if (not (lttest)) and (not (lbm)) then begin
lLtest := true;
lBM := true;
lnControlNeg := -lnControl;
end;
//lttest:= ttestmenu.checked;
//lBM := BMmenu.checked;
if lnControl < 1 then begin
MainForm.NPMmsg('AnaCom aborted - need data from at least 1 control individual');
exit;
end;
lnPermute := 0;//MainForm.ReadPermute;
MainForm.NPMmsg('Permutations = ' +IntToStr(lnPermute));
MainForm.NPMmsg('Analysis began = ' +TimeToStr(Now));
lTotalMemory := 0;
lVolVox := lMaskHdr.NIFTIhdr.dim[1]*lMaskHdr.NIFTIhdr.dim[2]* lMaskHdr.NIFTIhdr.dim[3];
if (lVolVox < 1) then goto 667;
lMinMask := 1;
lMaxMask := lVolVox;
lVoxPerPlank := kPlankSz div lImages.Count div sizeof(byte) ;
if (lVoxPerPlank = 0) then goto 667; //no data
lTotalMemory := ((lMaxMask+1)-lMinMask) * lImages.Count;
if (lTotalMemory = 0) then goto 667; //no data
lnPlanks := trunc(lTotalMemory/(lVoxPerPlank*lImages.Count) ) + 1;
MainForm.NPMmsg('Memory planks = ' +Floattostr(lTotalMemory/(lVoxPerPlank*lImages.Count)));
MainForm.NPMmsg('Max voxels per Plank = ' +Floattostr(lVoxPerPlank));
if (lnPlanks = 1) then
getmem(lPlankImg,lTotalMemory) //assumes 1bpp
else
getmem(lPlankImg,kPlankSz);
lStartVox := lMinMask;
lEndVox := lMinMask-1;
{$IFDEF medianfx}
lsummean := 0;
lsummedian:= 0;
lmediancount := 0;
{$ENDIF}
for lPos := 1 to lImages.Count do
if gScaleRA[lPos] = 0 then
gScaleRA[lPos] := 1;
lnControlsPlusPatients := lImages.Count+lnControl;
createArray64(lObsp,lObs,lnControlsPlusPatients);
getmem(lOutImgSum,lVolVox* sizeof(single));
getmem(lOutImgBM,lVolVox* sizeof(single));
getmem(lOutImgT,lVolVox* sizeof(single));
MainForm.InitPermute (lImages.Count, lnPermute, lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM, lRanOrderp, lRanOrder);
for lPos := 1 to lVolVox do begin
lOutImgSum^[lPos] := 0;
lOutImgBM^[lPos] := 0;
lOutImgT^[lPos] := 0;
end;
//sumptom array for lesions AND controls
for lPos := 1 to lImages.Count do
lObs^[lPos-1] := lSymptomRA^[lPos];
for lPos := 1 to lnControl do
lObs^[lPos-1+lImages.Count] := lControlSymptomRA^[lPos];
getmem(lCombinedSymptomRA,lnControlsPlusPatients* sizeof(single));
for lPos := 1 to lnControlsPlusPatients do
lCombinedSymptomRA^[lPos] := lObs^[lPos-1];
//next create permuted BM bounds
if lBM then begin
MainForm.NPMmsg('Generating BM permutation thresholds');
MainForm.Refresh;
//for lPos := 1 to lImages.Count do
// lObs^[lPos-1] := lSymptomRA^[lPos];
genBMsim (lnControlsPlusPatients, lObs);
end;
ClearThreadData(gnCPUThreads,lnPermute) ;
for lPlank := 1 to lnPlanks do begin
MainForm.NPMmsg('Computing plank = ' +Inttostr(lPlank));
MainForm.Refresh;
Application.processmessages;
lEndVox := lEndVox + lVoxPerPlank;
if lEndVox > lMaxMask then begin
lVoxPerPlank := lVoxPerPlank - (lEndVox-lMaxMask);
lEndVox := lMaxMask;
end;
lPlankImgPos := 1;
for lPos := 1 to lImages.Count do begin
if not LoadImg8(lImages[lPos-1], lPlankImg, lStartVox, lEndVox,round(gOffsetRA[lPos]),lPlankImgPos,gDataTypeRA[lPos],lVolVox) then
goto 667;
lPlankImgPos := lPlankImgPos + lVoxPerPlank;
end;//for each image
//threading start
lThreadStart := 1;
lThreadInc := lVoxPerPlank div gnCPUThreads;
lThreadEnd := lThreadInc;
Application.processmessages;
for lThread := 1 to gnCPUThreads do begin
if lThread = gnCPUThreads then
lThreadEnd := lVoxPerPlank; //avoid integer rounding error
with TLesionContinuous.Create (MainForm.ProgressBar1,lttest,lBM,lnCrit, lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImages.Count,lnControlNeg,lPlankImg,lOutImgSum,lOutImgBM,lOutImgT,nil,lCombinedSymptomRA) do
{$IFDEF FPC} OnTerminate := @MainForm.ThreadDone; {$ELSE}OnTerminate := MainForm.ThreadDone;{$ENDIF}
inc(gThreadsRunning);
lThreadStart := lThreadEnd + 1;
lThreadEnd :=lThreadEnd + lThreadInc;
end; //for each thread
repeat
Application.processmessages;
until gThreadsRunning = 0;
Application.processmessages;
//threading end
lStartVox := lEndVox + 1;
end;
lThreshPermute := 0;
lnVoxTested := SumThreadData(gnCPUThreads,lnPermute,lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM);
//next report findings
if lnVoxTested < 1 then begin
MainForm.NPMmsg('**Error: no voxels tested: no regions lesioned in at least '+inttostr(lnCrit)+' patients**');
goto 123;
end;
MainForm.NPMmsg('Voxels tested = ' +Inttostr(lnVoxTested));
{$IFDEF medianfx}
MainForm.NPMmsg('Average MEAN effect size = ' +realtostr((lsummean/lmediancount),3));
MainForm.NPMmsg('Average MEDIAN effect size = ' +realtostr((lsummedian/lmediancount),3));
{$ENDIF}
MainForm.NPMmsg('Only tested voxels with more than '+inttostr(lnCrit)+' lesions');
//Next: save results from permutation thresholding....
//Next: save results from permutation thresholding....
lThreshBonf := MainForm.reportBonferroni('Std',lnVoxTested);
//Next: NULPS
if lRun > 0 then //terrible place to do this - RAM problems, but need value to threshold maps
lThreshNULP := MainForm.reportBonferroni('Unique overlap',CountOverlap2 (lImages, lnCrit,lnVoxTested,lPlankImg));
//lThreshNULP := MainForm.reportBonferroni('Unique overlap',CountOverlap (lImages, lnCrit));
//next: save data
MakeHdr (lMaskHdr.NIFTIhdr,lStatHdr);
//save sum map
lOutNameMod := ChangeFilePostfixExt(lOutName,'Sum'+lFactName,'.hdr');
if (lRun < 1) then
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgSum,1);
//create new header - subsequent images will use Z-scores
MakeStatHdr (lMaskHdr.NIFTIhdr,lStatHdr,-6, 6,1{df},0,lnVoxTested,kNIFTI_INTENT_ZSCORE,inttostr(lnVoxTested) );
if (lRun < 1) and (Sum2PowerCont(lOutImgSum,lVolVox,lImages.Count)) then begin
lOutNameMod := ChangeFilePostfixExt(lOutName,'Power'+lFactName,'.hdr');
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgSum,1);
end;
//MakeStatHdr (lMaskHdr.NIFTIhdr,lStatHdr,-6, 6,1{df},0,lnVoxTested,kNIFTI_INTENT_ZSCORE,inttostr(lnVoxTested) );
if lttest then begin //save Ttest
//next: convert t-scores to z scores
if lnControl < 1 then
for lPos := 1 to lVolVox do
lOutImgT^[lPos] := TtoZ (lOutImgT^[lPos],lImages.Count-2);
for lPos := 1 to lnPermute do begin
lPermuteMaxT^[lPos] := TtoZ (lPermuteMaxT^[lPos],lImages.Count-2);
lPermuteMinT^[lPos] := TtoZ (lPermuteMinT^[lPos],lImages.Count-2);
end;
lThresh := MainForm.reportFDR ('ttest', lVolVox, lnVoxTested, lOutImgT);
lThreshPermute := MainForm.reportPermute('attest',lnPermute,lPermuteMaxT, lPermuteMinT);
lOutNameMod := ChangeFilePostfixExt(lOutName,'attest'+lFactName,'.hdr');
if lRun > 0 then
MainForm.NPMmsgAppend('AnaComthreshtt,'+inttostr(lRun)+','+inttostr(MainForm.ThreshMap(lThreshNULP,lVolVox,lOutImgT))+','+realtostr(lThreshNULP,3)+','+realtostr(lThreshPermute,3)+','+realtostr(lThreshBonf,3));
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgT,1);
end;
if lBM then begin //save Mann Whitney
lThresh := MainForm.reportFDR ('BM', lVolVox, lnVoxTested, lOutImgBM);
lThreshPermute := MainForm.reportPermute('aBM',lnPermute,lPermuteMaxBM, lPermuteMinBM);
lOutNameMod := ChangeFilePostfixExt(lOutName,'aBM'+lFactName,'.hdr');
if lRun > 0 then
MainForm.NPMmsgAppend('AnaCOMthreshbm,'+inttostr(lRun)+','+inttostr(MainForm.ThreshMap(lThreshNULP,lVolVox,lOutImgBM))+','+realtostr(lThreshNULP,3)+','+realtostr(lThreshPermute,3)+','+realtostr(lThreshBonf,3));
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgBM,1);
end;
//next: free dynamic memory
123:
MainForm.FreePermute (lnPermute,lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM, lRanOrderp);
freemem(lOutImgT);
freemem(lOutImgBM);
freemem(lOutImgSum);
freemem(lObsp);
freemem(lPlankImg);
MainForm.NPMmsg('Analysis finished = ' +TimeToStr(Now));
lOutNameMod := ChangeFilePostfixExt(lOutName,'Notes'+lFactName,'.txt');
MainForm.MsgSave(lOutNameMod);
MainForm.ProgressBar1.Position := 0;
exit;
667: //you only get here if you aborted ... free memory and report error
if lTotalMemory > 1 then freemem(lPlankImg);
MainForm.NPMmsg('Unable to complete analysis.');
MainForm.ProgressBar1.Position := 0;
end; //LesionNPMAnalyze
(*function readCSV2 (lFilename: string; lCol1,lCol2: integer; var lnObservations : integer; var ldataRA1,ldataRA2: singlep): boolean;
const
kHdrRow = 0;//1;
kHdrCol = 0;//1;
var
lNumStr: string;
F: TextFile;
lTempFloat: double;
lCh: char;
lnFactors,MaxC,R,C:integer;
lError: boolean;
begin
lError := false;
result := false;
if not fileexists(lFilename) then begin
showmessage('Can not find '+lFilename);
exit;
end;
AssignFile(F, lFilename);
FileMode := 0; //Set file access to read only
//First pass: determine column height/width
Reset(F);
C := 0;
MaxC := 0;
R := 0;
while not Eof(F) do begin
//read next line
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 0;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
if lNumStr <> '' then //july06- read data immediately prior to EOF
inc(R);
if (R <= (kHdrRow+1)) or (MaxC < (kHdrCol+lCol1)) or (MaxC < (kHdrCol+lCol2)) then begin
showmessage('problems reading CSV - not enough columns/rows '+inttostr(lCol1)+' '+inttostr(lCol2));
exit;
end;
lnObservations := R -kHdrRow ; //-1: first row is header....
lnFactors := MaxC-1;// -1: first column is Y values
//fx(lnObservations,lnFactors);
//exit;
getmem(ldataRA1,lnObservations*sizeof(single));
getmem(ldataRA2,lnObservations*sizeof(single));
//second pass
Reset(F);
C := 1;
MaxC := 0;
R := 1;
lNumStr := '';
lTempfloat := 0;
while not Eof(F) do begin
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
if (R > kHdrRow) and (C > kHdrCol) then begin
if ((C-kHdrCol) = lCol1) or ((C-kHdrCol) = lCol2) then begin
if lNumStr = '-' then begin
lTempFloat := 0;
end else begin //number
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
//showmessage(lNumStr);
if (C-kHdrCol) = lCol1 then
ldataRA1^[R-kHdrRow] := lTempFloat
else if (C-kHdrCol) = lCol2 then
ldataRA2^[R-kHdrRow] := lTempFloat;
end; //number
end; //col1 or col2
end;// else //R > 1
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 1;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
if (lNumStr <> '') and (C = lnFactors) then begin //unterminated string
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
ldataRA2^[R-1] := lTempFloat;
end;//unterminated string
//read finel item
CloseFile(F);
FileMode := 2; //Set file access to read/write
result := true;
end; *)
function readTxt (lFilename: string; var lnObservations : integer; var ldataRA1: singlep): boolean;
const
kHdrRow = 0;//1;
kHdrCol = 0;//1;
var
lCol1: integer;
lNumStr: string;
F: TextFile;
lTempFloat: double;
lCh: char;
lnFactors,MaxC,R,C:integer;
lError: boolean;
begin
lCol1:= 1;
lError := false;
result := false;
if not fileexists(lFilename) then begin
showmessage('Can not find '+lFilename);
exit;
end;
AssignFile(F, lFilename);
FileMode := 0; //Set file access to read only
//First pass: determine column height/width
Reset(F);
C := 0;
MaxC := 0;
R := 0;
while not Eof(F) do begin
//read next line
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 0;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
if lNumStr <> '' then //july06- read data immediately prior to EOF
inc(R);
if (R <= (kHdrRow+1)) or (MaxC < (kHdrCol+lCol1)) then begin
showmessage('problems reading CSV - not enough columns/rows ');
exit;
end;
lnObservations := R -kHdrRow ; //-1: first row is header....
lnFactors := kHdrCol+lCol1;// -1: first column is Y values
//fx(lnObservations,lnFactors);
//exit;
getmem(ldataRA1,lnObservations*sizeof(single));
//second pass
Reset(F);
C := 1;
MaxC := 0;
R := 1;
lNumStr := '';
lTempfloat := 0;
while not Eof(F) do begin
//read next line
Read(F, lCh);
if lCh = '#' then
while not (lCh in [#10,#13]) do
Read(F, lCh)
else if not (lCh in [#10,#13,#9,',']) then begin
lNumStr := lNumStr + lCh;
end else if lNumStr <> '' then begin
if (R > kHdrRow) and (C > kHdrCol) then begin
if ((C-kHdrCol) = lCol1) {or ((C-kHdrCol) = lCol2)} then begin
if lNumStr = '-' then begin
lTempFloat := 0;
end else begin //number
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
//showmessage(lNumStr);
if (C-kHdrCol) = lCol1 then begin
//showmessage(lNumStr);
ldataRA1^[R-kHdrRow] := lTempFloat;
end;
{else if (C-kHdrCol) = lCol2 then
ldataRA2^[R-kHdrRow] := lTempFloat;}
end; //number
end; //col1 or col2
end;// else //R > 1
lNumStr := '';
inc(C);
if C > MaxC then
MaxC := C;
if (lCh in [#10,#13]) then begin
C := 1;
inc(R);
end; //eoln
end; //if lNumStr <> '' and not tab
end;
//showmessage(lNumStr+' '+inttostr(lnFactors)+' '+inttostr(C));
if (lNumStr <> '') and (C = lnFactors) then begin //unterminated string
try
lTempFloat := strtofloat(lNumStr);
except
on EConvertError do begin
if not lError then
showmessage('Empty cells? Error reading CSV file row:'+inttostr(R)+' col:'+inttostr(C)+' - Unable to convert the string '+lNumStr+' to a number');
lError := true;
lTempFloat := nan;
end;
end;//except
//showmessage(inttostr(R)+' '+floattostr(lTempFLoat));
ldataRA1^[R] := lTempFloat;
end;//unterminated string
//read finel item
CloseFile(F);
FileMode := 2; //Set file access to read/write
result := true;
end;
(*procedure DoAnaCOM;
label
666;
var
lControlFilename: string;
lI, lnControlObservations : integer;
lControldata: singlep;
lBinomial: boolean;
lFact,lnFactors,lSubj,lnSubj,lnSubjAll,lMaskVoxels,lnCrit: integer;
lImageNames,lImageNamesAll: TStrings;
lPredictorList: TStringList;
lTemp4D,lMaskname,lOutName,lFactname: string;
lMaskHdr: TMRIcroHdr;
lMultiSymptomRA,lSymptomRA: singleP;
begin
npmform.MainForm.memo1.lines.clear;
npmform.MainForm.memo1.lines.add('AnaCOM analysis requires TXT/CSV format text file.');
npmform.MainForm.memo1.lines.add('One row per control participant.');
npmform.MainForm.memo1.lines.add('First column is performance of that participant.');
npmform.MainForm.memo1.lines.add('Example file:');
//npmform.MainForm.memo1.lines.add('deficit, voxels');
npmform.MainForm.memo1.lines.add('11');
npmform.MainForm.memo1.lines.add('19');
npmform.MainForm.memo1.lines.add('2');
npmform.MainForm.memo1.lines.add('22');
npmform.MainForm.memo1.lines.add('19');
npmform.MainForm.memo1.lines.add('6');
lControlFilename := 'c:\fx.txt';
if (not readTxt (lControlFilename, lnControlObservations,lControldata)) or (lnControlObservations < 1) then begin
showmessage('Error reading file '+lControlFilename);
exit;
end;
npmform.MainForm.memo1.lines.add('Control (n='+inttostr(lnControlObservations)+')performance: ');
for lI := 1 to lnControlObservations do begin
npmform.MainForm.memo1.lines.add(inttostr(lI)+' '+floattostr(lControldata^[lI]));
end;
//begin - copy
lImageNamesAll:= TStringList.Create; //not sure why TStrings.Create does not work???
lImageNames:= TStringList.Create; //not sure why TStrings.Create does not work???
//next, get 1st group
if not MainForm.GetVal(lnSubjAll,lnFactors,lMultiSymptomRA,lImageNamesAll,lnCrit,{,binom}lPredictorList) then begin
showmessage('Error with VAL file');
goto 666;
end;
lTemp4D := CreateDecompressed4D(lImageNamesAll);
if (lnSubjAll < 1) or (lnFactors < 1) then begin
Showmessage('Not enough subjects ('+inttostr(lnSubjAll)+') or factors ('+inttostr(lnFactors)+').');
goto 666;
end;
lMaskname := lImageNamesAll[0];
if not NIFTIhdr_LoadHdr(lMaskname,lMaskHdr) then begin
showmessage('Error reading 1st mask.');
goto 666;
end;
lMaskVoxels := ComputeImageDataBytes8bpp(lMaskHdr);
if (lMaskVoxels < 2) or (not CheckVoxels(lMaskname,lMaskVoxels,0)){make sure there is uncompressed .img file} then begin
showmessage('Mask file size too small.');
goto 666;
end;
lOutName := ExtractFileDirWithPathDelim(lMaskName)+'results';
MainForm.SaveHdrDlg.Filename := loutname;
lOutName := lOutName+'.nii.gz';
if not MainForm.SaveHdrName ('Base Statistical Map', lOutName) then exit;
for lFact := 1 to lnFactors do begin
lImageNames.clear;
for lSubj := 1 to lnSubjAll do
{$IFNDEF FPC}if lMultiSymptomRA^[lSubj+((lFact-1)*lnSubjAll)] <> NaN then {$ENDIF}
lImageNames.Add(lImageNamesAll[lSubj-1]);
lnSubj := lImageNames.Count;
if lnSubj > 1 then begin
getmem(lSymptomRA,lnSubj * sizeof(single));
lnSubj := 0;
for lSubj := 1 to lnSubjAll do
{$IFNDEF FPC}if lMultiSymptomRA^[lSubj+((lFact-1)*lnSubjAll)] <> NaN then begin
{$ELSE} begin{$ENDIF}
inc(lnSubj);
lSymptomRA^[lnSubj] := lMultiSymptomRA^[lSubj+((lFact-1)*lnSubjAll)];
end;
MainForm.NPMmsgClear;
MainForm.NPMMsg(MainForm.GetKVers);
MainForm.NPMMsg('Threads: '+inttostr(gnCPUThreads));
lFactName := lPredictorList.Strings[lFact-1];
lFactName := LegitFilename(lFactName,lFact);
MainForm.NPMMsg('Factor = '+lFactname);
For lSubj := 1 to lnSubj do
MainForm.NPMMsg (lImageNames.Strings[lSubj-1] + ' = '+realtostr(lSymptomRA^[lSubj],2) );
MainForm.NPMMsg('Total voxels = '+inttostr(lMaskVoxels));
MainForm.NPMMsg('Only testing voxels damaged in at least '+inttostr(lnCrit)+' individual[s]');
MainForm.NPMMsg('Number of Lesion maps = '+inttostr(lnSubj));
if not CheckVoxelsGroup(lImageNames,lMaskVoxels) then begin
showmessage('File dimensions differ from mask.');
goto 666;
end;
MainForm.ReportDescriptives(lSymptomRA,lnSubj);
AnacomLesionNPMAnalyze(lImageNames,lMaskHdr,lnCrit,-1,lnControlObservations,lSymptomRA,lControldata,lFactName,lOutname,true {ttest},false{BM});
Freemem(lSymptomRA);
end; //lnsubj > 1
end; //for each factor
if lnSubjAll > 0 then begin
Freemem(lMultiSymptomRA);
end;
666:
lImageNames.Free;
lImageNamesAll.Free;
lPredictorList.Free;
DeleteDecompressed4D(lTemp4D);
///end
//AnacomLesionNPMAnalyze ( lImages: TStrings; var lMaskHdr: TMRIcroHdr; lnCrit,lRun,lnControl: integer; var lSymptomRA,lControlSymptomRA: SingleP;var lFactname,lOutName: string; lttest,lBM: boolean): boolean;
freemem(lControldata);
end;*)
end.
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