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unit LesionStatThds;
interface
uses
SysUtils,
ComCtrls,Classes, Graphics, ExtCtrls, define_types,stats,StatThdsUtil,Brunner,lesion_pattern;
type
TLesionStatThread = class(TThread)
private
lBarX: TProgressBar;
lttestx,lBMx: boolean;
lnCritx,lBarPosX,lnPermuteX,lThreadx,lThreadStartx,lThreadEndx,lStartVoxx,lVoxPerPlankx,
lImagesCountx,lControlsx : integer;
lPlankImgx:ByteP;
lOutImgMnx,lOutImgBMx,lOutImgTx,lOutImgAUCX,lSymptomRAx: SingleP;
//lBarX: TProgressBar;
procedure DoVisualSwap;
protected
procedure Execute; override;
procedure VisualProg(lPos: Integer);
procedure Analyze(lttest,lBM: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg:bytep;lOutImgMn,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA: SingleP); virtual; abstract;
public
constructor Create(lBar: TProgressBar;lttest,lBM: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg:ByteP;lOutImgMn,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA: SingleP);
end;
{ Lesion - image reveals value }
TLesionContinuous = class(TLesionStatThread )
protected
procedure Analyze(lttest,lBM: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg: byteP;lOutImgMn,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA: SingleP); override;
end;
TLesionBinom = class(TLesionStatThread )
protected
procedure Analyze(lChi2,lLieber: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg: byteP;lOutImgMn,lOutImgL,lOutImgX,lOutImgAUC,lSymptomRA: SingleP); override;
end;
implementation
(*procedure OutStr(lStr: string);
var
lOutname: string;
f: TextFile;
begin
lOutname:='c:\fx.txt';
if fileexists(lOutname) then
begin { open a text file }
AssignFile(f, lOutname);
Append(f);
Writeln(f, lStr);
Flush(f); { ensures that the text was actually written to file }
{ insert code here that would require a Flush before closing the file }
CloseFile(f);
end;
end;
*)
Const Two32 = 4294967296.0 ;
function GenRandThreaded(lRange: integer; var lRandSeed:comp): integer;
//normal random function does not work well when threaded - randseed is changed by each thread
const lFactor = $08088405 ; lTerm = 1 ;
type lT = array [0..1] of longint ;
var
lX: extended;
begin
lRandSeed := lRandSeed*lFactor + lTerm;
lT(lRandSeed)[1] := 0 ; // < May'04 was: RS := RS - Trunc(RS/Two32)*Two32 ;
lX := lRandSeed/Two32 ;
result := trunc((lRange)*lX);
end;
procedure GenPermuteThreaded (lnSubj: integer; var lOrigOrder,lRanOrder: DoubleP0; var lRandSeed:comp);
var
lInc,lRand: integer;
lSwap: double;
begin
Move(lOrigOrder^,lRanOrder^,lnSubj*sizeof(double));
for lInc := lnSubj downto 2 do begin
lRand := GenRandThreaded(lInc,lRandSeed);
lSwap := lRanOrder^[lRand];
lRanOrder^[lRand] := lRanOrder^[lInc-1];
lRanOrder^[lInc-1] := lSwap;
end;
end;
procedure StatPermuteThreaded (lttest,lBM: boolean; lnSubj, lnGroup0,lnPermute,lThread: integer;var lOrigOrder: DoubleP0);
var
lInc: integer;
lOutT,lDF,lBMz: double;
lRS: Comp;
lRanOrderp: pointer;
lRanOrder: Doublep0;
begin
if (lnSubj < 1) or (lnPermute < 1) then
exit;
createArray64(lRanOrderp,lRanOrder,lnSubj);
lRS := 128;
for lInc := 1 to lnPermute do begin
GenPermuteThreaded(lnSubj, lOrigOrder,lRanOrder,lRS); //generate random order of participants
if lttest then begin
TStat2 (lnSubj, lnGroup0, lRanOrder, lOutT);
if lOutT > gPermuteMaxT[lThread,lInc] then
gPermuteMaxT[lThread,lInc] := lOutT;
if lOutT < gPermuteMinT[lThread,lInc] then
gPermuteMinT[lThread,lInc] := lOutT;
end; //compute ttest
if lBM then begin
//BMTest (lnSubj, lnGroup0, lRanOrder,lOutT);
tBM (lnSubj, lnGroup0, lRanOrder,lBMz,lDF);
lBMz := BMzVal (lnSubj, lnGroup0,lBMz,lDF);
if lBMz > gPermuteMaxBM[lThread,lInc] then
gPermuteMaxBM[lThread,lInc] := lBMz;
if lBMz < gPermuteMinBM[lThread,lInc] then
gPermuteMinBM[lThread,lInc] := lBMz;
end; //compute BM
end;
freemem(lRanOrderp);
end;
procedure GenPermuteThreadedBinom (lnSubj: integer; var lOrigOrder,lRanOrder: ByteP0; var lRandSeed:comp);
var
lInc,lRand: integer;
lSwap: byte;
begin
Move(lOrigOrder^,lRanOrder^,lnSubj);
for lInc := lnSubj downto 2 do begin
lRand := GenRandThreaded(lInc,lRandSeed);
lSwap := lRanOrder^[lRand];
lRanOrder^[lRand] := lRanOrder^[lInc-1];
lRanOrder^[lInc-1] := lSwap;
end;
end;
procedure StatPermuteBinomialThreaded (lnSubj, lnGroup0,lnPermute,lThread: integer;var lOrigOrder: ByteP0);
var
lInc: integer;
lOutP: double;
lRS: Comp;
lRanOrder: byteP0;
//lRanOrderp: pointer;
//lRanOrder: Doublep0;
begin
if (lnSubj < 1) or (lnPermute < 1) then
exit;
//createArray64(lRanOrderp,lRanOrder,lnSubj);
getmem(lRanOrder,lnSubj);
lRS := 128;
for lInc := 1 to lnPermute do begin
GenPermuteThreadedBinom(lnSubj, lOrigOrder,lRanOrder,lRS); //generate random order of participants
(*if lChi2 then begin
Chi2 (lnSubj, lnGroup0, lRanOrder, lOutT);
if lOutT > gPermuteMaxT[lThread,lInc] then
gPermuteMaxT[lThread,lInc] := lOutT;
if lOutT < gPermuteMinT[lThread,lInc] then
gPermuteMinT[lThread,lInc] := lOutT;
end; //compute ttest
if lLieber then begin*)
//Liebermeister2bP (lnSubj, lnGroup0, lRanOrder,lOutP);
Liebermeister2bP (lnSubj, lnGroup0, lRanOrder,lOutP);
if (lOutP > 0) and (lOutP < gPermuteMinT[lThread,lInc]) then begin //negative correlation
//fx(lOutP, gPermuteMinBM[lThread,lInc]);
gPermuteMinT[lThread,lInc] := lOutP;
end;
if (lOutP < 0) and ( lOutP > gPermuteMaxT[lThread,lInc]) then //negative correlation
gPermuteMaxT[lThread,lInc] := lOutP;
//end; //compute BM
end;
freemem(lRanOrder);
end;
procedure TLesionStatThread .DoVisualSwap;
begin
lBarX.Position := lBarPosX;
end;
procedure TLesionStatThread .VisualProg(lPos: Integer);
begin
lBarPosX := lPos;
{$IFDEF FPC}Synchronize(@DoVisualSwap); {$ELSE} Synchronize(DoVisualSwap);{$ENDIF}
end;
constructor TLesionStatThread .Create(lBar: TProgressBar; lttest,lBM: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg: byteP;lOutImgMn,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA: SingleP);
begin
lBarX := lBar;
lttestx := lttest;
lBMx:= lBM;
lThreadX := lThread;
lThreadStartX := lThreadStart;
lThreadEndX := lThreadEnd;
lStartVoxx := lStartVox;
lVoxPerPlankx := lVoxPerPlank;
lImagesCountX := lImagesCount;
lControlsX := lControlsIn;
lPlankImgx := lPlankImg;
lOutImgMnx := lOutImgMn;
lOutImgBMx := lOutImgBM;
lOutImgTx := lOutImgT;
lOutImgAUCx := lOutImgAUC;
lSymptomRAx := lSymptomRA;
lnPermuteX := lnPermute;
lnCritX := lnCrit;
FreeOnTerminate := True;
inherited Create(False);
end;
{ The Execute method is called when the thread starts }
procedure TLesionStatThread .Execute;
begin
Analyze(lttestx,lBMx, lnCritX,lnPermuteX,lThreadx,lThreadStartx,lThreadEndx,lStartVoxx,lVoxPerPlankx,lImagesCountx,lControlsx,lPlankImgX,lOutImgMnx,lOutImgBMx,lOutImgTx,lOutImgAUCx,lSymptomRAx);
end;
procedure TLesionContinuous.Analyze (lttest,lBM: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIN : integer; lPlankImg:bytep;lOutImgMn,lOutImgBM,lOutImgT,lOutImgAUC,lSymptomRA: SingleP);
//pattern variables
const
knPrevPattern = 10;
var
lPrevPatternRA: array[1..knPrevPattern] of TLesionPattern;
lPattern: TLesionPattern;
lPrevZValsT,lPrevZValsBM,lPrevAUCVals: array [1..knPrevPattern] of Single;
lPatternPos: integer;
lLesionOrderp: bytep;
//standard variables
var
lStr: string;
lObstp,lObsp: pointer;
lObst,lObs: Doublep0;
lT,lBMz,lDF: Double;
lObsB: bytep0;
lnLesion,lnNoLesion,lPosPct,lPos,lPos2,lPos2Offset,lnControl,
lnControlsPlusLesion,lnControlsPlusPatients : integer;
begin //statthread
//init patterns
lnControl := abs(lControlsIn);
if lControlsIn < 0 then begin //binomial
getmem(lObsB, lImagesCount+lnControl);
end;
lnControlsPlusPatients := lImagesCount+lnControl;
for lPatternPos := 1 to knPrevPattern do
lPrevPatternRA[lPatternPos] := EmptyOrder;
lPatternPos := 1;
//lMaxLesion := lImagesCount-lnCrit;
getmem(lLesionOrderp, lImagesCount *sizeof(byte));
//now init standard variables
createArray64(lObsp,lObs,lnControlsPlusPatients);
lPosPct := (lThreadEnd-lThreadStart) div 100;
//if lThread = 1 then
// OutStr( inttostr(lThreadStart)+':'+inttostr(lThreadEnd)); //xxxxx
for lPos2 := lThreadStart to lThreadEnd do begin
if (lThread = 1) and ((lPos2 mod lPosPct) = 0) then
VisualProg(round((lPos2/(lThreadEnd-lThreadStart))*100));
if Terminated then exit; //goto 345;//abort
lPos2Offset := lPos2+lStartVox-1;
lnLesion := 0;
lnNoLesion := 0;
for lPos := 1 to lImagesCount do begin
if lPlankImg^[((lPos-1)* lVoxPerPlank)+lPos2] = 0 then begin
//no lesion
inc(lnNoLesion);
lLesionOrderp^[lPos] := 0;
lObs^[lnNoLesion-1] := lSymptomRA^[lPos];
end else begin
//lesion
inc(lnLesion);
lLesionOrderp^[lPos] := 1;
//lObs^[lImagesCount-lnLesion] := lSymptomRA^[lPos]; //note: lObs indexed from zero!
lObs^[lImagesCount-lPos+lnNoLesion] := lSymptomRA^[lPos]; //note: lObs indexed from zero!
end;
end;
lOutImgMn^[lPos2Offset] := lnLesion;///lImages.Count;
if (lnLesion >= lnCrit) and (lnLesion > 0) and (lnLesion < lImagesCount) then begin
//when there are 0 lesions or all lesions there is no variability!
inc(gnVoxTestedRA[lThread]);
//now check if we have seen this precise lesion order recently...
lPattern := SetOrderX (lLesionOrderp,lImagesCount);
lPos := 1;
while (lPos <= knPrevPattern) and not (SameOrder(lPattern,lPrevPatternRA[lPos],lImagesCount)) do
inc(lPos);
if SameOrder(lPattern,lPrevPatternRA[lPos],lImagesCount) then begin //lesion pattern is not novel
if lttest then
lOutImgT^[lPos2Offset] := lPrevZvalsT[lPos];
if lBM then
lOutImgBM^[lPos2Offset] := lPrevZvalsBM[lPos];
if lOutImgAUC <> nil then
lOutImgAUC^[lPos2Offset] := lPrevAUCvals[lPos];
end else begin //lesion pattern is novel
//record novel pattern
inc(lPatternPos);
if lPatternPos > knPrevPattern then
lPatternPos := 1;
lPrevPatternRA[lPatternPos] := lPattern;
lnControlsPlusLesion := lnControlsPlusPatients;
if (lControlsIn > 0) {and (lnLesion > 0)} then begin //anaCOm
createArray64(lObstp,lObst,lImagesCount);
for lPos := 1 to lImagesCount do
lObst^[lPos-1] := lObs^[lPos-1];
for lPos := 1 to lnLesion do
lObs^[lPos-1+lnControl] := lObst^[lPos-1+lnNoLesion];
freemem(lObstP);
for lPos := 1 to lnControl do
lObs^[lPos-1] := lSymptomRA^[lPos+lImagesCount];
lnControlsPlusLesion := lnControl+lnLesion;
lnNoLesion := {lnNoLesion +} lnControl;
end;//controls
(*if lPos2 = 2570879 then begin //xxxx
for lPos := 1 to lImagesCount do begin
outstr(inttostr(lPos)+'>'+floattostr(lObs^[lPos-1]) );
end;
end;*)
if lttest then begin
if lControlsIn > 0 then begin//anacom
TStat2Z (lnControlsPlusLesion, lnControl {lnNoLesion},lObs,lT);
(* if lPos2 = 2570879 then begin
outstr( floattostr(lT)+ ' '+inttostr(lnControl)); //xxxx
for lPos := 1 to lnControlsPlusLesion do begin
outstr(inttostr(lPos)+', '+floattostr(lObs^[lPos-1]) );
end;
end; *)
end else
TStat2 (lnControlsPlusLesion, lnNoLesion, lObs,lT);
lOutImgT^[lPos2Offset] := lT;
lPrevZValsT[lPatternPos] := lT;
end;
if lBM then begin
tBM (lnControlsPlusLesion, lnNoLesion, lObs,lBMz,lDF);
lBMz := BMzVal (lnControlsPlusPatients, lnNoLesion,lBMz,lDF);
lOutImgBM^[lPos2Offset] := lBMz;
lPrevZValsBM[lPatternPos] := lBMz;
end;
if lOutImgAUC <> nil then begin
lOutImgAUC^[lPos2Offset] := continROC (lnControlsPlusLesion, lnNoLesion, lObs);
lPrevAUCVals[lPatternPos] := lOutImgAUC^[lPos2Offset];
end;
StatPermuteThreaded (lttest,lBM,lImagesCount, lnNoLesion,lnPermute,lThread, lObs);
end; //novel lesion pattern
end; //in brain mask - compute
end; //for each voxel
freemem(lObsP);
freemem(lLesionOrderp);
if lControlsIn < 0 then //binomial
freemem(lObsB);
end;
procedure TLesionBinom.Analyze (lChi2,lLieber: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lControlsIn : integer; lPlankImg: bytep;lOutImgMn,lOutImgL,lOutImgX,lOutImgAUC,lSymptomRA: SingleP);
//procedure TLesionBinomial.Analyze (lChi2,lLieber: boolean; lnCrit,lnPermute,lThread,lThreadStart,lThreadEnd,lStartVox,lVoxPerPlank,lImagesCount,lnGroup1 : integer; lMaskImg,lPlankImg,lOutImgMn,lOutImgL,lOutImgX,lSymptomRA: SingleP);
//pattern variables
const
knPrevPattern = 10;
var
lPrevPatternRA: array[1..knPrevPattern] of TLesionPattern;
lPattern: TLesionPattern;
lPrevZValsL ,lPrevAUCVals: array [1..knPrevPattern] of Single;
lPatternPos: integer;
lLesionOrderp: bytep;
//standard variables
var
//lObsp: pointer;
//lObs: Doublep0; lPrevZVals
lObs: ByteP0;
lAUC,lZ: Double;
lnLesion,lPosPct,lPos,lPos2,lPos2Offset,lnVoxTested: integer;
begin //Binomial StatThread
//init patterns
for lPatternPos := 1 to knPrevPattern do
lPrevPatternRA[lPatternPos] := EmptyOrder;
lPatternPos := 1;
getmem(lLesionOrderp, lImagesCount *sizeof(byte));
//now init standard variables
//createArray64(lObsp,lObs,lImagesCount);
getmem(lObs,lImagesCount);
lPosPct := (lThreadEnd-lThreadStart) div 100;
for lPos2 := lThreadStart to lThreadEnd do begin
if (lThread = 1) and ((lPos2 mod lPosPct) = 0) then
VisualProg(round((lPos2/(lThreadEnd-lThreadStart))*100));
if Terminated then exit; //goto 345;//abort
lPos2Offset := lPos2+lStartVox-1;
lnLesion := 0;
for lPos := 1 to lImagesCount do begin
if ((gScaleRA[lPos]*lPlankImg^[((lPos-1)* lVoxPerPlank)+lPos2])+gInterceptRA[lPos]) = 0 then begin
//no lesion
lObs^[lImagesCount-lPos+lnLesion] := round(lSymptomRA^[lPos]);
lLesionOrderp^[lPos] := 0;
end else begin
//lesion
inc(lnLesion);
lLesionOrderp^[lPos] := 1;
lObs^[lnLesion-1] := round(lSymptomRA^[lPos]); //note: lObs indexed from zero!
end;
end;
lOutImgMn^[lPos2Offset] := lnLesion;///lImages.Count;
if (lnLesion >= lnCrit) and (lnLesion > 0) and (lnLesion < lImagesCount) then begin
//when there are 0 lesions or all lesions there is no variability!
inc(gnVoxTestedRA[lThread]);
//next check patterns
lPattern := SetOrderX (lLesionOrderp,lImagesCount);
lPos := 1;
while (lPos <= knPrevPattern) and not (SameOrder(lPattern,lPrevPatternRA[lPos],lImagesCount)) do
inc(lPos);
if SameOrder(lPattern,lPrevPatternRA[lPos],lImagesCount) then begin //lesion pattern is not novel
//if lChi2 then
// lOutImgX^[lPos2Offset] := lPrevZvalsX[lPos];
//if lLieber then
lOutImgL^[lPos2Offset] := lPrevZvalsL[lPos];
if lOutImgAUC <> nil then
lOutImgAUC^[lPos2Offset] := lPrevAUCvals[lPos];
end else begin //lesion pattern is novel
//record novel pattern
inc(lPatternPos);
if lPatternPos > knPrevPattern then
lPatternPos := 1;
lPrevPatternRA[lPatternPos] := lPattern;
{if lChi2 then begin
Chi2 (lImagesCount, lnLesion, lObs,lT);
lOutImgX^[lPos2Offset] := lT;//lT;
lPrevZValsX[lPatternPos] := lT;
end;
if lLieber then begin}
Liebermeister2b(lImagesCount, lnLesion, lObs,lAUC,lZ);
if lOutImgAUC <> nil then
lOutImgAUC^[lPos2Offset] := lAUC;
lPrevAUCVals[lPatternPos] := lAUC;
lOutImgL^[lPos2Offset] := lZ;
lPrevZValsL[lPatternPos] := lZ;
//end;
StatPermuteBinomialThreaded (lImagesCount, lnLesion,lnPermute,lThread, lObs);
end;
end; //in brain mask - compute
end; //for each voxel
freemem(lObs);
freemem(lLesionOrderp)
end;
end.
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