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unit turbolesion;
interface
{$H+}
{$Include ..\common\isgui.inc}
uses
define_types,SysUtils,
part,StatThds,statcr,StatThdsUtil,Brunner,DISTR,nifti_img, hdr,
Messages, Classes, Graphics, Controls, Forms, Dialogs, nifti_types,
StdCtrls, ComCtrls,ExtCtrls,Menus, overlap,ReadInt,lesion_pattern,stats,LesionStatThds,nifti_hdr, unpm,
{$IFDEF FPC} LResources,gzio2,
{$ELSE} gziod,associate,{$ENDIF} //must be in search path, e.g. C:\pas\mricron\npm\math
{$IFNDEF UNIX} Windows, {$ENDIF}
upower,firthThds,firth,IniFiles,cpucount,userdir,math,
regmult,utypes;
Type
TLDMPrefs = record
NULP,BMtest,Ttest,Ltest: boolean;
CritPct,nCrit,nPermute,Run: integer;
ValFilename, OutName, ExplicitMaskName: string;
end;
function TurboLDM (var lImages: TStrings; var lMaskHdr: TMRIcroHdr; var lPrefs: TLDMPrefs ; var lSymptomRA: SingleP;var lFactname,lOutName: string): boolean;
implementation
{$IFDEF GUI}
uses npmform;
{$ELSE}
// uses npmcl;
{$ENDIF}
(*procedure Debog (var lSumImg: Smallintp; lVox: integer);
var
lInName : string;
lFData: file;
begin
lInName := 'c:\16.img';
assignfile(lFdata,lInName);
filemode := 2;
Rewrite(lFdata,lVox*sizeof(smallint));
BlockWrite(lFdata,lSumImg^, 1 {, NumWritten});
closefile(lFdata);
end;*)
function MakeSum (var lImages: TStrings; var lMaskHdr: TMRIcroHdr; var lSumImg: Smallintp): boolean;
//if successful, you MUST freemem(lSumImg)...
label
667;
var
lVolVox,lVox,lImg,lPosPct: integer;
lVolImg: byteP;
begin
result := false;
lVolVox := lMaskHdr.NIFTIhdr.dim[1]*lMaskHdr.NIFTIhdr.dim[2]* lMaskHdr.NIFTIhdr.dim[3];
if (lVolVox < 1) then exit;
getmem(lVolImg,lVolVox* sizeof(byte));
getmem(lSumImg,lVolVox* sizeof(smallint));
for lVox := 1 to lVolVox do //June 2009 init array
lSumImg^[lVox] := 0;
(* for lVox := 1 to lVolVox do
if lVolImg^[lVox] <> 0 then
lSumImg^[lVox] := lSumImg^[lVox]+1;*)
for lImg := 1 to lImages.Count do begin
lPosPct := round(100*(lImg / lImages.Count));
NPMProgressBar( lPosPct);
Application.Processmessages;
if not LoadImg8(lImages[lImg-1], lVolImg, 1, lVolVox,round(gOffsetRA[lImg]),1,gDataTypeRA[lImg],lVolVox) then
goto 667;
for lVox := 1 to lVolVox do
if lVolImg^[lVox] <> 0 then
lSumImg^[lVox] := lSumImg^[lVox]+1;
end;//for each image
NPMmsg('Sum image finished = ' +TimeToStr(Now));
NPMProgressBar(0);
//Debog(lSumImg, lVolVox);
freemem(lVolImg);
result := true;
exit;
667: //you only get here if you aborted ... free memory and report error
freemem(lVolImg);
freemem(lSumImg);
NPMMsg('Unable to complete analysis.');
NPMProgressBar(0);
end;
function ThreshSumImg (var lSumImg: Smallintp; lVolVox,lThresh: integer): integer;
//sets all voxels with values < lThresh to zero, returns number of voxels to survive threshold.
var
lPos: integer;
begin
result := 0;
if lVolVox < 1 then
exit;
for lPos := 1 to lVolVox do
if lSumImg^[lPos] < lThresh then
lSumImg^[lPos] := 0
else
inc(result);
end;
function ExplicitMaskSumImg (lMaskName: string; var lSumImg: Smallintp; lVolVox: integer): integer;
//Any voxels in MaskImg that are 0 are zeroed in the SumImg
var
lOK: boolean;
lPos: integer;
lMaskHdr: TMRIcroHdr;
lMaskData: bytep;
label
666;
begin
result := 0;
if (lVolVox < 1) or (not NIFTIhdr_LoadHdr(lMaskname,lMaskHdr)) then begin
NPMmsg('Error: unable to load explicit mask named '+lMaskName);
exit;
end;
if lVolVox <> (lMaskHdr.NIFTIhdr.dim[1]*lMaskHdr.NIFTIhdr.dim[2]* lMaskHdr.NIFTIhdr.dim[3]) then begin
NPMmsg('Error: data and explicit mask have different sizes '+lMaskName);
exit;
end;
getmem(lMaskData,lVolVox* sizeof(byte));
lOK := LoadImg8(lMaskName, lMaskData, 1, lVolVox,round(lMaskHdr.NIFTIhdr.vox_offset),1,lMaskHdr.NIFTIhdr.DataType,lVolVox);
if not lOK then goto 666;
if lVolVox < 1 then
exit;
for lPos := 1 to lVolVox do
if lMaskData^[lPos] < 1 then
lSumImg^[lPos] := 0
else
inc(result);
666:
freemem(lMaskData);
end;
function LoadImg8Masked(lInName: string; lImgData: bytep; lMaskData: SmallIntP; lStartMaskPos, lEndMaskPos,linvox_offset,lRApos,lDataType,lVolVox: integer): boolean;
label
111;
var
lFullImgData: bytep;
lMaskPos,lPos: integer;
begin
result := false;
if (lVolVox < 1) or (lEndMaskPos < lStartMaskPos) then
exit;
getmem(lFullImgData,lVolVox* sizeof(byte));
result := LoadImg8(lInName, lFullImgData, 1, lVolVox,linvox_offset,1,lDataType,lVolVox);
if result then begin
lMaskPos := 0;
for lPos := 1 to lVolVox do begin
if lMaskData^[lPos] <> 0 then begin
inc(lMaskPos);
if (lMaskPos >=lStartMaskPos) then
lImgData^[lRApos+lMaskPos-1] := lFullImgData^[lPos];
if lMaskPos = lEndMaskPos then goto 111;
end;//voxel in mask
end; //for each voxel in image
end;//if LoadImg8 success
111:
freemem(lFullImgData);
end;
function reformat(var lStatImg: singlep; lMaskImg: smallintp; lVolVox: integer): boolean;
var
lPos,lStatPos,lMaskItems: integer;
begin
result := false;
if lVolVox < 1 then
exit;
lMaskItems := 0;
for lPos := 1 to lVolVox do
if lMaskImg^[lPos] <> 0 then
inc(lMaskItems);
result := true;
if (lMaskItems < 1) or (lMaskItems >= lVolVox) then
exit;//no need to reformat
//note that we do this in descending order, so we do not overwrite...
lStatPos := lMaskItems;
for lPos := lVolVox downto 1 do
if lMaskImg^[lPos] <> 0 then begin
lStatImg^[lPos] := lStatImg^[lStatPos];
dec(lStatPos);
end else
lStatImg^[lPos] := 0;
end;//reformat
function NULPcount (lPlankImg: bytep; lVoxPerPlank,lImagesCount,lnCrit: integer; var lUniqueOrders: integer; var lOverlapRA: Overlapp): boolean;
procedure CheckOrder(var lObservedOrder: TLesionPattern);
var
lInc: integer;
begin
if lUniqueOrders > 0 then begin //see if this is unique
for lInc := lUniqueOrders downto 1 do //check most recent patterns first
if SameOrder(lObservedOrder,lOverlapRA^[lInc],lImagesCount) then
exit; //not unique
end; //UniqueOrders > 0
//if we have not exited yet, we have found a new ordering!
lUniqueOrders := lUniqueOrders + 1;
lOverlapRA^[lUniqueOrders] := lObservedOrder;
end;
var
lVox,lPlankImgPos,lPos,lnLesion: integer;
lOrder,lPrevOrder: TLesionPattern;
begin
result := false;
if lImagesCount > kMaxObs then begin
NPMmsg('Warning: unable to count unique lesion patterns for so many participants');
exit;
end;
if lImagesCount > 64 then
NPMMsg('Counting unique lesion patterns - this may take a while (edit preferences to skip this step)');
Application.Processmessages;
NPMProgressBar(0); //this forces a refresh for GUI applications
Sleep(30);
lPrevOrder := EmptyOrder;//impossible: forces first voxel of each order to be checked
for lVox := 1 to lVoxPerPlank do begin
(*if (lVox mod lVoxPerPlankDiv10) = 0 then begin
MainForm.ProgressBar1.Position := (lVox div lVoxPerPlankDiv10)*10;
MainForm.Refresh;
Application.processmessages;
end;*)
lOrder := EmptyOrder;
lnLesion := 0;
lPlankImgPos := 0;
//lnDeficits := 0;
for lPos := 1 to lImagesCount do begin
if (lPlankImg^[lPlankImgPos + lVox] > 0) then begin
inc(lnLesion);
SetBit(lPos,lOrder);
end;
lPlankImgPos := lPlankImgPos + lVoxPerPlank;
end;
if (lnLesion >= lnCrit) then begin //statistics computed - more than nCrit injured
if (not SameOrder(lOrder,lPrevOrder,lImagesCount)) then
CheckOrder(lOrder);
//inc(lnVoxels);
end;//lnLesion
lPrevOrder := lOrder;
end;//for lVox
result := true;
end;
procedure PtoZpermute (lnPermute: integer; lPermuteMaxT, lPermuteMinT: singlep);
var
lPos: integer;
lVal : single;
begin
if lPos < 1 then exit;
for lPos := 1 to lnPermute do begin
if (lPermuteMinT^[lPos] > 1.1) or (lPermuteMinT^[lPos] < -1.1) then
lPermuteMinT^[lPos] := 0.5;
if (lPermuteMaxT^[lPos] > 1.1) or (lPermuteMaxT^[lPos] < -1.1) then
lPermuteMaxT^[lPos] := 0.5;
lVal := lPermuteMaxT^[lPos];
lPermuteMaxT^[lPos] := lPermuteMinT^[lPos];
lPermuteMinT^[lPos] := lVal;
if lPermuteMaxT^[lPos] < 0 then
lPermuteMaxT^[lPos] := -pNormalInv(abs(lPermuteMaxT^[lPos]))
else
lPermuteMaxT^[lPos] := pNormalInv(lPermuteMaxT^[lPos]);
if lPermuteMinT^[lPos] < 0 then
lPermuteMinT^[lPos] := -pNormalInv(abs(lPermuteMinT^[lPos]))
else
lPermuteMinT^[lPos] := pNormalInv(lPermuteMinT^[lPos]);
end;
end;
function TurboLDM (var lImages: TStrings; var lMaskHdr: TMRIcroHdr;var lPrefs: TLDMPrefs ; var lSymptomRA: SingleP;var lFactname,lOutName: string): boolean;
label
123,667;
var
lOutNameMod: string;
lNULPcalculated: boolean;
lStatHdr: TNIfTIhdr;
lThreshFDR,lThreshPermute,lThreshBonf,lThreshNULP :double;
lObsp: pointer;
lObs: Doublep0;
lRanOrderp: pointer;
lRanOrder: Doublep0;
lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM,lOutImgSum,lOutImgBM,lOutImgT,lOutImgAUC: singlep;
lSumImg: Smallintp;
lPlankImg: byteP;
lVoxPerPlank,lnPlanks,lTotalMemory,lnVoxTested,lVolVox: int64;
lUniqueOrders,lThread,lThreadStart,lThreadInc,lThreadEnd,
lPos2,lPosPct,lPos,lPlankImgPos,lPlank,lStartVox,lEndVox: integer;
lOverlapRA: Overlapp;
lPrevThreadsRunning: integer;
{$IFNDEF FPC} lStartTime :DWord;{$ENDIF}
begin
{$IFNDEF FPC} lStartTime := GetTickCount;{$ENDIF}
result := false;
lNULPcalculated := false;
lSumImg := nil;
lPlankImg := nil;
lOutImgSum := nil;
lOutImgBM := nil;
lOutImgT := nil;
lOutImgAUC := nil;
lOverlapRA := nil;
lUniqueOrders := 0;
if lPrefs.Ltest then begin
lPrefs.Ttest := false;
lPrefs.BMtest := false;
end else if (not lPrefs.Ttest) and (not lPrefs.BMtest) then begin//not binomial
NPMmsg('Error no tests specified');
exit;
end;
NPMmsg('Permutations = ' +IntToStr(lPrefs.nPermute));
NPMmsg('Analysis began = ' +TimeToStr(Now));
lVolVox := lMaskHdr.NIFTIhdr.dim[1]*lMaskHdr.NIFTIhdr.dim[2]* lMaskHdr.NIFTIhdr.dim[3];
if (lVolVox < 1) then goto 667;
if not MakeSum( lImages, lMaskHdr, lSumImg) then goto 667;
lnVoxTested := ThreshSumImg(lSumImg,lVolVox,lPrefs.nCrit);
NPMmsg('Voxels damaged in at least '+inttostr(lPrefs.nCrit)+' individuals = ' +Floattostr(lnVoxTested));
if lnVoxTested < 1 then begin
NPMmsg('Error: no voxels damaged in at least '+inttostr(lPrefs.nCrit)+' individuals.');
goto 667;
end;
if (lPrefs.ExplicitMaskName <> '') then begin
lnVoxTested := ExplicitMaskSumImg (lPrefs.ExplicitMaskName, lSumImg, lVolVox);
NPMmsg('Voxels also non-zero in mask '+lPrefs.ExplicitMaskName+' = ' +Floattostr(lnVoxTested));
if lnVoxTested < 1 then begin
NPMmsg('Error: no remaing voxels also non-zero in mask '+lPrefs.ExplicitMaskName);
goto 667;
end;
end;
//compute planks and acquire memory
lTotalMemory := lnVoxTested * lImages.Count;
if (lTotalMemory = 0) then goto 667; //no data
lnPlanks := trunc(lTotalMemory/kPlankSz ) + 1;
NPMmsg('Memory planks = ' +Floattostr(lTotalMemory/kPlankSz));
if (lnPlanks = 1) then begin
lVoxPerPlank := lnVoxTested; //we can do this in a single pass
getmem(lPlankImg,lTotalMemory)
end else begin
getmem(lPlankImg,kPlankSz);
lVoxPerPlank := kPlankSz div lImages.Count;
end;
//spatial maps for results
getmem(lOutImgSum,lVolVox*sizeof(single));
getmem(lOutImgBM,lVolVox*sizeof(single));
getmem(lOutImgT,lVolVox*sizeof(single));
getmem(lOutImgAUC,lVolVox*sizeof(single));
//initialize memory
InitPermute (lImages.Count, lPrefs.nPermute, lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM, lRanOrderp, lRanOrder);
for lPos := 1 to lVolVox do begin
lOutImgSum^[lPos] := 0;
lOutImgBM^[lPos] := 0;
lOutImgT^[lPos] := 0;
lOutImgAUC^[lPos] := 0;
end;
//next create permuted BM bounds
if lPrefs.BMtest then begin
NPMmsg('Generating BM permutation thresholds');
//MainForm.Refresh;
createArray64(lObsp,lObs,lImages.Count);
for lPos := 1 to lImages.Count do
lObs^[lPos-1] := lSymptomRA^[lPos];
genBMsim (lImages.Count, lObs);
freemem(lObsp);
end;
if lPrefs.NULP then
getmem(lOverlapRA,lnVoxTested* sizeof(TLesionPattern));
if lPrefs.Ltest then
ClearThreadDataPvals(gnCPUThreads,lPrefs.nPermute)
else
ClearThreadData(gnCPUThreads,lPrefs.nPermute) ;
//load and process data
lStartVox := 1;
lEndVox := 0;
for lPlank := 1 to lnPlanks do begin
NPMmsg('Computing plank = ' +Inttostr(lPlank)+' of '+inttostr(lnPlanks));
lEndVox := lEndVox + lVoxPerPlank;
if lEndVox > lnVoxTested then begin
lVoxPerPlank := lnVoxTested-lStartVox+1{lVoxPerPlank - (lEndVox-lVolVox)};
lEndVox := lnVoxTested;
end;
lPlankImgPos := 1;
for lPos := 1 to lImages.Count do begin
if not LoadImg8Masked(lImages[lPos-1], lPlankImg,lSumImg, lStartVox, lEndVox,round(gOffsetRA[lPos]),lPlankImgPos,gDataTypeRA[lPos],lVolVox) then
goto 667;
lPlankImgPos := lPlankImgPos + lVoxPerPlank;
end;//for each image
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
if lPrefs.Ltest then begin
with TLesionBinom.Create (MainForm.ProgressBar1,false,true,lPrefs.nCrit, lPrefs.nPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImages.Count,0,lPlankImg,lOutImgSum,lOutImgBM,lOutIMgT{not used},lOutImgAUC,lSymptomRA) do
{$IFDEF FPC} OnTerminate := @MainForm.ThreadDone; {$ELSE}OnTerminate := MainForm.ThreadDone;{$ENDIF}
end else begin
with TLesionContinuous.Create (MainForm.ProgressBar1,lPrefs.ttest,lPrefs.BMtest,lPrefs.nCrit, lPrefs.nPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImages.Count,0,lPlankImg,lOutImgSum,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA) do
//with TLesionContinuous.Create (MainForm.ProgressBar1,lttest,lBM,lnCrit, lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImages.Count,lPlankImg,lOutImgSum,lOutImgBM,lOutImgT,lSymptomRA) do
{$IFDEF FPC} OnTerminate := @MainForm.ThreadDone; {$ELSE}OnTerminate := MainForm.ThreadDone;{$ENDIF}
end;
inc(gThreadsRunning);
lThreadStart := lThreadEnd + 1;
lThreadEnd :=lThreadEnd + lThreadInc;
end; //for each thread
lPrevThreadsRunning := gThreadsRunning;
repeat
Application.processmessages;
sleep(30);
if (gThreadsRunning <> lPrevThreadsRunning) then begin
NPMmsg(' '+inttostr(gThreadsRunning)+' threads still running ' +TimeToStr(Now));
lPrevThreadsRunning := gThreadsRunning;
end;
until gThreadsRunning = 0;
Application.processmessages;
//end of threading
if lPrefs.NULP then
lNULPcalculated := NULPcount (lPlankImg, lVoxPerPlank,lImages.Count,lPrefs.nCrit, lUniqueOrders, lOverlapRA);
lStartVox := lEndVox + 1;
end;
//calculate max per thread x
SumThreadData(gnCPUThreads,lPrefs.nPermute,lPermuteMaxT, lPermuteMinT,lPermuteMaxBM, lPermuteMinBM);
//data in maps is stored in voxels 1..lnVoxTested - put in spatial order
reformat(lOutImgSum,lSumImg,lVolVox);
reformat(lOutImgBM,lSumImg,lVolVox);
reformat(lOutImgT,lSumImg,lVolVox);
reformat(lOutImgAUC,lSumImg,lVolVox);
lThreshBonf := reportBonferroni('Std',lnVoxTested);
if lNULPcalculated {lPrefs.NULP} then
lThreshBonf := reportBonferroni('(Number of Unique Lesion Patterns with at least '+inttostr(lPrefs.nCrit)+' lesions)',lUniqueOrders);
//next: save data
MakeHdr (lMaskHdr.NIFTIhdr,lStatHdr);
//save sum map
lOutNameMod := ChangeFilePostfixExt(lOutName,'Sum'+lFactName,'.hdr');
if lPrefs.Run < 1 then
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgSum,1);
//save Area Under Curve
lOutNameMod := ChangeFilePostfixExt(lOutName,'rocAUC'+lFactName,'.hdr');
if lPrefs.Run < 1 then
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgAUC,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 (lPrefs.Run < 1) and (Sum2Power(lOutImgSum,lVolVox,lImages.Count,lPrefs.nCrit, lPrefs.LTest)) then begin
lOutNameMod := ChangeFilePostfixExt(lOutName,'Power'+lFactName,'.hdr');
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgSum,1);
end;
//if lPrefs.Run > 0 then //terrible place to do this - RAM problems, but need value to threshold maps
// lThreshNULP := MainForm.reportBonferroni('Unique overlap',CountOverlap2 (lImages, lPrefs.nCrit,lnVoxTested,lPlankImg));
if lPrefs.ttest then begin //save Ttest
//next: convert t-scores to z scores
for lPos := 1 to lVolVox do
lOutImgT^[lPos] := TtoZ (lOutImgT^[lPos],lImages.Count-2);
for lPos := 1 to lPrefs.nPermute do begin
lPermuteMaxT^[lPos] := TtoZ (lPermuteMaxT^[lPos],lImages.Count-2);
lPermuteMinT^[lPos] := TtoZ (lPermuteMinT^[lPos],lImages.Count-2);
end;
lThreshFDR := reportFDR ('ttest', lVolVox, lnVoxTested, lOutImgT);
lThreshPermute := reportPermute('ttest',lPrefs.nPermute,lPermuteMaxT, lPermuteMinT);
lOutNameMod := ChangeFilePostfixExt(lOutName,'ttest'+lFactName,'.hdr');
{$IFNDEF FPC}
//if lPrefs.Run > 0 then begin
// NPMmsg('threshtt,'+inttostr(lPrefs.Run)+','+inttostr(MainForm.ThreshMap(lThreshBonf,lVolVox,lOutImgT))+','+realtostr(lThreshNULP,3)+','+realtostr(lThreshPermute,3)+','+realtostr(lThreshBonf,3)+','+inttostr(round((GetTickCount - lStartTime)/1000)));
//end;
{$ENDIF}
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgT,1);
end;
if lPrefs.LTest then begin
PtoZpermute (lPrefs.nPermute, lPermuteMaxT, lPermuteMinT);
lOutNameMod := ChangeFilePostfixExt(lOutName,'L'+lFactName,'.hdr');
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgBM,1);
reportFDR ('L', lVolVox, lnVoxTested, lOutImgBM);
reportPermute('L',lPrefs.nPermute,lPermuteMaxT, lPermuteMinT);
end;//Liebermeister
if lPrefs.BMtest then begin //save Brunner Munzel
lThreshFDR := reportFDR ('BM', lVolVox, lnVoxTested, lOutImgBM);
lThreshPermute := reportPermute('BM',lPrefs.nPermute,lPermuteMaxBM, lPermuteMinBM);
lOutNameMod := ChangeFilePostfixExt(lOutName,'BM'+lFactName,'.hdr');
if lPrefs.Run > 0 then
NPMmsg('threshbm,'+inttostr(lPrefs.Run)+','+inttostr(ThreshMap(lThreshBonf,lVolVox,lOutImgBM))+','+realtostr(lThreshNULP,3)+','+realtostr(lThreshPermute,3)+','+realtostr(lThreshBonf,3));
//NPMmsgAppend('threshbm,'+inttostr(lPrefs.Run)+','+inttostr(MainForm.ThreshMap(lThreshBonf,lVolVox,lOutImgBM))+','+realtostr(lThreshNULP,3)+','+realtostr(lThreshPermute,3)+','+realtostr(lThreshBonf,3));
NIFTIhdr_SaveHdrImg(lOutNameMod,lStatHdr,true,not IsNifTiMagic(lMaskHdr.NIFTIhdr),true,lOutImgBM,1);
end;
NPMmsg('Analysis finished = ' +TimeToStr(Now));
{$IFNDEF FPC} NPMmsg('Processing Time = ' +inttostr(round((GetTickCount - lStartTime)/1000)));{$ENDIF}
lOutNameMod := ChangeFilePostfixExt(lOutName,'Notes'+lFactName,'.txt');
NPMMsgSave(lOutNameMod);
//all done
result := true;//all done without aborting
667: // free memory and report error
if lPlankImg <> nil then freemem(lPlankImg);
if lSumImg <> nil then freemem(lSumImg);
if lOutImgSum <> nil then freemem(lOutImgSum);
if lOutImgBM <> nil then freemem(lOutImgBM);
if lOutImgT <> nil then freemem(lOutImgT);
if lOutImgAUC <> nil then freemem(lOutImgAUC);
if lOverlapRA <> nil then freemem(lOverlapRA);
if not result then
NPMmsg('Unable to complete analysis.');
NPMProgressBar( 0);
end; //TurboLDM
end.
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