CodecStatus_t Codec_MmeAudio_c::GetAttribute(const char *Attribute, PlayerAttributeDescriptor_t *Value)
{
//report( severity_error, "Codec_MmeAudio_c::GetAttribute Enter\n");
if (0 == strcmp(Attribute, "sample_frequency"))
{
enum eAccFsCode SamplingFreqCode = (enum eAccFsCode) AudioDecoderStatus.SamplingFreq;
Value->Id = SYSFS_ATTRIBUTE_ID_INTEGER;
if (SamplingFreqCode < ACC_FS_reserved)
Value->u.Int = Codec_MmeAudio_c::ConvertCodecSamplingFreq(SamplingFreqCode);
else
Value->u.Int = 0;
return CodecNoError;
}
else if (0 == strcmp(Attribute, "number_channels"))
{
#if 0
int lfe_mask = ((int) ACC_MODE20t_LFE - (int) ACC_MODE20t);
int low_channel = 0;
int number_channels = 0;
Value->Id = SYSFS_ATTRIBUTE_ID_INTEGER;
if (AudioDecoderStatus.DecAudioMode & lfe_mask) low_channel = 1;
number_channels = GetNumberOfChannelsFromAudioConfiguration((enum eAccAcMode)(AudioDecoderStatus.DecAudioMode & ~lfe_mask));
Value->u.Int = number_channels + low_channel;
#else
#define C(f,b) case ACC_MODE ## f ## b: Value->u.ConstCharPointer = #f "/" #b ".0"; break; case ACC_MODE ## f ## b ## _LFE: Value->u.ConstCharPointer = #f "/" #b ".1"; break
#define Cn(f,b) case ACC_MODE ## f ## b: Value->u.ConstCharPointer = #f "/" #b ".0"; break
#define Ct(f,b) case ACC_MODE ## f ## b ## t: Value->u.ConstCharPointer = #f "/" #b ".0"; break; case ACC_MODE ## f ## b ## t_LFE: Value->u.ConstCharPointer = #f "/" #b ".1"; break
Value->Id = SYSFS_ATTRIBUTE_ID_CONSTCHARPOINTER;
switch ((enum eAccAcMode)(AudioDecoderStatus.DecAudioMode))
{
Ct(2, 0);
C(1, 0);
C(2, 0);
C(3, 0);
C(2, 1);
C(3, 1);
C(2, 2);
C(3, 2);
C(2, 3);
C(3, 3);
C(2, 4);
C(3, 4);
Cn(4, 2);
Cn(4, 4);
Cn(5, 2);
Cn(5, 3);
default:
Value->u.ConstCharPointer = "UNKNOWN";
}
#endif
return CodecNoError;
}
else
{
CODEC_ERROR("This attribute does not exist.\n");
return CodecError;
}
return CodecNoError;
}
void RectangleHandler::initRectangle(const Eigen::VectorXd& Sw, double lambda,
const Eigen::VectorXd& z, Eigen::VectorXd& shapeParams,
Eigen::VectorXd& F) {
//Get the points
Eigen::Vector3d m1(z[0], z[1], 1);
Eigen::Vector3d m2(z[2], z[3], 1);
Eigen::Vector3d m3(z[4], z[5], 1);
Eigen::Vector3d m4(z[6], z[7], 1);
Eigen::Vector3d Ct(Sw[0], Sw[1], Sw[2]);
Eigen::Quaterniond Cq(Sw[3], Sw[4], Sw[5], Sw[6]);
//compute normals
double c2 = (m1.cross(m3).transpose() * m4)[0]
/ (m2.cross(m3).transpose() * m4)[0];
double c3 = (m1.cross(m3).transpose() * m2)[0]
/ (m4.cross(m3).transpose() * m2)[0];
Eigen::Vector3d n2 = c2 * m2 - m1;
Eigen::Vector3d n3 = c3 * m4 - m1;
//Compute rotation matrix columns
Eigen::Vector3d R1 = _K.inverse() * n2;
R1 = R1 / R1.norm();
Eigen::Vector3d R2 = _K.inverse() * n3;
R2 = R2 / R2.norm();
Eigen::Vector3d R3 = R1.cross(R2);
//Compute frame quaternion
Eigen::Matrix3d R;
R << R1, R2, R3;
const Eigen::Quaterniond qOC(R);
Eigen::Quaterniond Fqhat = Cq * qOC;
//Compute frame transaltion
Eigen::Matrix3d omega = _K.transpose().inverse() * _K.inverse();
double ff = sqrt(
(n2.transpose() * omega * n2)[0] / (n3.transpose() * omega * n3)[0]);
Eigen::Vector3d CtOhat = lambda * _K.inverse() * m1;
Eigen::Vector3d Fthat = Ct + Cq.toRotationMatrix() * CtOhat;
//compute shape parameters
Eigen::Vector3d X = _K * R1;
Eigen::Vector3d Y = c2 * lambda * m2 - lambda * m1;
double w = ((X.transpose() * X).inverse() * X.transpose() * Y)[0];
double h = w / ff;
//Write the results
shapeParams << w, h;
F << Fthat[0], Fthat[1], Fthat[2], Fqhat.w(), Fqhat.x(), Fqhat.y(), Fqhat.z();
}
double ung_ssm::psi_filter(const ugg_ssm& approx_model,
const double approx_loglik, const arma::vec& scales,
const unsigned int nsim, arma::cube& alpha, arma::mat& weights,
arma::umat& indices) {
arma::mat alphahat(m, n + 1);
arma::cube Vt(m, m, n + 1);
arma::cube Ct(m, m, n + 1);
approx_model.smoother_ccov(alphahat, Vt, Ct);
conditional_cov(Vt, Ct);
std::normal_distribution<> normal(0.0, 1.0);
for (unsigned int i = 0; i < nsim; i++) {
arma::vec um(m);
for(unsigned int j = 0; j < m; j++) {
um(j) = normal(engine);
}
alpha.slice(i).col(0) = alphahat.col(0) + Vt.slice(0) * um;
}
std::uniform_real_distribution<> unif(0.0, 1.0);
arma::vec normalized_weights(nsim);
double loglik = 0.0;
if(arma::is_finite(y(0))) {
weights.col(0) = arma::exp(log_weights(approx_model, 0, alpha) - scales(0));
double sum_weights = arma::accu(weights.col(0));
if(sum_weights > 0.0){
normalized_weights = weights.col(0) / sum_weights;
} else {
return -std::numeric_limits<double>::infinity();
}
loglik = approx_loglik + std::log(sum_weights / nsim);
} else {
weights.col(0).ones();
normalized_weights.fill(1.0 / nsim);
loglik = approx_loglik;
}
for (unsigned int t = 0; t < n; t++) {
arma::vec r(nsim);
for (unsigned int i = 0; i < nsim; i++) {
r(i) = unif(engine);
}
indices.col(t) = stratified_sample(normalized_weights, r, nsim);
arma::mat alphatmp(m, nsim);
// for (unsigned int i = 0; i < nsim; i++) {
// alphatmp.col(i) = alpha.slice(i).col(t);
// }
for (unsigned int i = 0; i < nsim; i++) {
alphatmp.col(i) = alpha.slice(indices(i, t)).col(t);
//alpha.slice(i).col(t) = alphatmp.col(indices(i, t));
}
for (unsigned int i = 0; i < nsim; i++) {
arma::vec um(m);
for(unsigned int j = 0; j < m; j++) {
um(j) = normal(engine);
}
alpha.slice(i).col(t + 1) = alphahat.col(t + 1) +
Ct.slice(t + 1) * (alphatmp.col(i) - alphahat.col(t)) + Vt.slice(t + 1) * um;
}
if ((t < (n - 1)) && arma::is_finite(y(t + 1))) {
weights.col(t + 1) =
arma::exp(log_weights(approx_model, t + 1, alpha) - scales(t + 1));
double sum_weights = arma::accu(weights.col(t + 1));
if(sum_weights > 0.0){
normalized_weights = weights.col(t + 1) / sum_weights;
} else {
return -std::numeric_limits<double>::infinity();
}
loglik += std::log(sum_weights / nsim);
} else {
weights.col(t + 1).ones();
normalized_weights.fill(1.0 / nsim);
}
}
return loglik;
}
int calculate_method::PWI_Compute(string input,string output,PWIConstTable *PWIconst)
{
int S0Index;
//PWI read
DicomInfo PWIinfo;
cout<<"after sort"<<endl;
getDcm *PWIcommon=new getDcm(input);
//读取PWI原始信息
for(int i = 0 ;i < PWIconst->PSetNum ; i++)
{
for(int j = 0 ; j < PWIconst->PSliceNum ;j++)
{
PWIinfo.getInfo((PWIcommon->dir+"IM"+itos(i)+"-"+itos(j)).c_str());
PWIArray[TWO_D(i,j,PWIconst->PSliceNum)] = PWIinfo;
}
}
PWIArray[TWO_D(0,0,PWIconst->PSetNum)].dataset->findAndGetUint16(DcmTagKey(0x0028,0x0010),PWIcommon->height); //读取图片高度
PWIArray[TWO_D(0,0,PWIconst->PSetNum)].dataset->findAndGetUint16(DcmTagKey(0x0028,0x0011),PWIcommon->width); //读取图片宽度
DicomInfo *s0 = new DicomInfo[PWIconst->PSliceNum];
for(int i = 0; i < PWIconst->PSliceNum; ++i)
{
s0[i].allocMemory( PWIcommon->height * PWIcommon->width);
}
S0Index = PWIconst->STDNum-1;
//获取S0值
for(int i = 0;i < PWIconst->PSliceNum ; ++i)
{
for(int j = 0;j < PWIcommon->height; ++j)
{
for(int k = 0;k < PWIcommon->width;++k)
{
s0[i].PixelData[TWO_D(j,k,PWIcommon->width)] = PWIArray[TWO_D(S0Index,i,PWIconst->PSliceNum)].PixelData[TWO_D(j,k,PWIcommon->width)];
}
}
}
//获取s0的均值
int signalnum,s0Sum = 0;
_signal avg=0;
for(int i = 0;i < PWIconst->PSliceNum ; ++i )
{
signalnum=0;
s0Sum = 0;
for(int j = 0;j < PWIcommon->height; ++j)
{
for(int k = 0 ; k < PWIcommon->width; ++k)
{
if(s0[i].PixelData[TWO_D(j,k,PWIcommon->width)] != 0)
{
s0Sum += PWIArray[TWO_D(S0Index,i,PWIconst->PSliceNum)].PixelData[TWO_D(j,k,PWIcommon->width)];
signalnum++;
}
}
}
avg = ((_signal)s0Sum)/signalnum * 0.5;
//过滤掉小于50%的点 mask ADC 600-2100!!!!!
for(int k = 0;k < PWIcommon->height; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
if(s0[i].PixelData[TWO_D(k,l,PWIcommon->width)]<avg)
{
s0[i].PixelData[TWO_D(k,l,PWIcommon->width)] = 0 ;
}
}
}
}
//计算R2
for(int i = 0;i < PWIconst->PSetNum ; ++i)
{
for(int j = 0;j < PWIconst->PSliceNum; ++j)
{
for(int k = 0;k < PWIcommon->height; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
//判断是否为过滤掉的点
if(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)] != 0 )
{
if(PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]!=0)
{
PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]=R2(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)],PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)],PWIconst->TE);
}else
{
//当St值为0时的处理方法
PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]=R2(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)],1,PWIconst->TE);//测试第二个参数!!!!
}
}
else
{
//将过滤掉的点置为0
PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)] = 0;
}
}
}
}
}
//get Position of AIF
for(int i = 0;i < PWIconst->PSetNum ; ++i)//分配内存
{
for(int j = 0;j < PWIconst->PSliceNum; ++j)
{
PWICav[TWO_D(i,j,PWIconst->PSliceNum)].allocMemory(PWIcommon->height*PWIcommon->width);//分配空间
PWICt[TWO_D(i,j,PWIconst->PSliceNum)].allocMemory(PWIcommon->height*PWIcommon->width);
PWIRt[TWO_D(i,j,PWIconst->PSliceNum)].allocMemory(PWIcommon->height*PWIcommon->width);
PWICav[TWO_D(i,j,PWIconst->PSliceNum)].time=PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].time;
}
}
int MRtype =1;// PWIconst->TType;//MRI类型 1.5T 或者 3.0T
for(int i = 0 ;i < PWIconst->PSetNum; ++i)
{
for(int j = 0;j < PWIconst->PSliceNum;++j)
{
for(int k = 0;k < PWIcommon->height;++k)
{
for(int l = 0;l < PWIcommon->width;++l)
{
PWICt[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]= Ct(PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)],MRtype,PWIconst->x[MRtype][0]);
}
}
}
}
//AIF Selection
//get avg of Area
DicomInfo * AreaAndCt = new DicomInfo[ PWIconst->PSliceNum ];
for(int j = 0 ; j < PWIconst->PSliceNum ; ++j)
{
AreaAndCt[j].allocMemory(PWIcommon->height*PWIcommon->width);
for(int i =0 ; i < PWIcommon->height*PWIcommon->width ; ++i)
{
AreaAndCt[j].PixelData[i] = 0;
}
}
double temArea = 0;
int AllCurve = 0;
_signal Area;
_signal SecondOrderThreshold;
int AIFtestZ;
int AIFtestX;
int AIFtestY;
double testC = 0;
double temC = 0;
vector<double> AreaSet;
_signal * DsFirstOrder = new _signal [PWIconst->PSetNum];
_signal * DsSecondOrder = new _signal [PWIconst->PSetNum];
for(int j = 10;j < 20; ++j)
{
for(int k = 0;k < PWIcommon->height*2/3; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
if(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)]==0)
{
continue;
}
AllCurve++;
for(int i = PWIconst->STDNum-1;i < PWIconst->PSetNum-1 ; ++i)
{
AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] += PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]+PWIArray[TWO_D(i+1,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
}
AreaSet.push_back(AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)]);
}
}
}
sort(AreaSet.begin(),AreaSet.end());
Area = AreaSet[(int)(AllCurve*0.9)];
AreaSet.clear();
//Ct daoshu
AllCurve = 0;
for(int j = 10;j < 20; ++j)
{
for(int k = 0;k < PWIcommon->height*2/3; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
if(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)]==0||AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)]<Area)
{
AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] = 0;
continue;
}
++AllCurve;
for(int i = PWIconst->STDNum-1; i< PWIconst->PSetNum ; ++i)
{
DsSecondOrder[i] = PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
}
for(int i = PWIconst->STDNum-1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsFirstOrder[i] = (-3*DsSecondOrder[i] + 4 * DsSecondOrder[i+1] - DsSecondOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsFirstOrder[i] = (DsSecondOrder[i-2] - 4 * DsSecondOrder[i-1] + 3 * DsSecondOrder[i]);
}else
{
DsFirstOrder[i] = ( -1*DsSecondOrder[i-1]+DsSecondOrder[i+1]);
}
}
for(int i = PWIconst->STDNum-1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsSecondOrder[i] = (-3*DsFirstOrder[i] + 4 * DsFirstOrder[i+1] - DsFirstOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsSecondOrder[i] = (DsFirstOrder[i-2] - 4 * DsFirstOrder[i-1] + 3 * DsFirstOrder[i]);
}else
{
DsSecondOrder[i] = ( -1*DsFirstOrder[i-1]+DsFirstOrder[i+1]);
}
DsSecondOrder[i]=DsSecondOrder[i]*DsSecondOrder[i];
}
_signal temSecondOrder = calcul(1.8,DsSecondOrder+PWIconst->STDNum-1,PWIconst->PSetNum-PWIconst->STDNum);
AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] = temSecondOrder;
AreaSet.push_back(temSecondOrder);
}
}
}
sort(AreaSet.begin(),AreaSet.end());
SecondOrderThreshold = AreaSet[(int)(AllCurve*0.75)];
AreaSet.clear();
for(int j = 10;j < 20; ++j)
{
for(int k = 0;k < PWIcommon->height*2/3; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
if(AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)]>SecondOrderThreshold)
{
AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] = 0;
}
}
}
}
/**SecondOrder version**/
double avgTime,avgHeight,avgWidth;
avgTime = 0;
avgHeight = 0;
avgWidth = 0;
double minIndex = 0;
double maxIndex = 0;
double maxR2 = -100;
for(int j = 10;j < 20; ++j)
{
for(int k = 0;k < PWIcommon->height*2/3; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
minIndex = PWIconst->PSetNum-1;
maxIndex = -1;
maxR2 = -100;
if(AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] == 0)
{
continue;
}
for(int i = PWIconst->STDNum-1; i< PWIconst->PSetNum ; ++i)
{
DsSecondOrder[i] = PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
if(maxR2<DsSecondOrder[i])
maxR2 = DsSecondOrder[i];
}
for(int i = PWIconst->STDNum-1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsFirstOrder[i] = (-3*DsSecondOrder[i] + 4 * DsSecondOrder[i+1] - DsSecondOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsFirstOrder[i] = (DsSecondOrder[i-2] - 4 * DsSecondOrder[i-1] + 3 * DsSecondOrder[i]);
}else
{
DsFirstOrder[i] = ( -1*DsSecondOrder[i-1]+DsSecondOrder[i+1]);
}
}
for(int i = PWIconst->STDNum+1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsSecondOrder[i] = (-3*DsFirstOrder[i] + 4 * DsFirstOrder[i+1] - DsFirstOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsSecondOrder[i] = (DsFirstOrder[i-2] - 4 * DsFirstOrder[i-1] + 3 * DsFirstOrder[i]);
}else
{
DsSecondOrder[i] = ( -1*DsFirstOrder[i-1]+DsFirstOrder[i+1]);
}
}
for(int i = PWIconst->STDNum+1;i < PWIconst->PSetNum ; ++i)
{
if(DsSecondOrder[i] >0.008)
{
if(i<minIndex)
{
minIndex = i;
}
if(i>maxIndex)
{
maxIndex =i;
}
}
}
if(maxIndex == -1)
{
maxIndex =PWIconst->PSetNum-1;
}
if(minIndex == PWIconst->PSetNum-1)
{
minIndex =0;
maxIndex = PWIconst->PSetNum-1;
}
avgHeight += maxR2 * 100;
avgTime += minIndex* 1.8;
avgWidth += (maxIndex - minIndex)*1.8;
}
}
}
avgHeight/=AllCurve;
avgWidth/=AllCurve;
avgTime/=AllCurve;
for(int j = 10;j < 20; ++j)
{
for(int k = 0;k < PWIcommon->height*2/3; ++k)
{
for(int l = 0;l < PWIcommon->width; ++l)
{
minIndex = PWIconst->PSetNum-1;
maxIndex = -1;
maxR2 = -100;
if(AreaAndCt[j].PixelData[TWO_D(k,l,PWIcommon->width)] == 0)
{
continue;
}
for(int i = PWIconst->STDNum-1; i< PWIconst->PSetNum ; ++i)
{
DsSecondOrder[i] = PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
if(maxR2<DsSecondOrder[i])
maxR2 = DsSecondOrder[i];
}
for(int i = PWIconst->STDNum-1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsFirstOrder[i] = (-3*DsSecondOrder[i] + 4 * DsSecondOrder[i+1] - DsSecondOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsFirstOrder[i] = (DsSecondOrder[i-2] - 4 * DsSecondOrder[i-1] + 3 * DsSecondOrder[i]);
}else
{
DsFirstOrder[i] = ( -1*DsSecondOrder[i-1]+DsSecondOrder[i+1]);
}
}
for(int i = PWIconst->STDNum+1;i < PWIconst->PSetNum ; ++i)
{
if(i==PWIconst->STDNum-1)
{
DsSecondOrder[i] = (-3*DsFirstOrder[i] + 4 * DsFirstOrder[i+1] - DsFirstOrder[i+2]);
}else if(i == PWIconst->PSetNum-1)
{
DsSecondOrder[i] = (DsFirstOrder[i-2] - 4 * DsFirstOrder[i-1] + 3 * DsFirstOrder[i]);
}else
{
DsSecondOrder[i] = ( -1*DsFirstOrder[i-1]+DsFirstOrder[i+1]);
}
}
for(int i = PWIconst->STDNum+1;i < PWIconst->PSetNum ; ++i)
{
if(DsSecondOrder[i] >0.008)
{
if(i<minIndex)
{
minIndex = i;
}
if(i>maxIndex)
maxIndex =i;
}
}
if(maxIndex == -1)
{
maxIndex =PWIconst->PSetNum-1;
}
if(minIndex == PWIconst->PSetNum-1)
{
minIndex =0;
maxIndex = PWIconst->PSetNum-1;
}
if(minIndex == maxIndex)
maxIndex = PWIconst->PSetNum-1;
temC = PWIconst->ck1*(maxR2*100 - avgHeight) + PWIconst->ck2*(minIndex*1.8 - avgTime) + PWIconst->ck3 * ((maxIndex - minIndex)*1.8 - avgWidth);
if(maxR2*100>avgHeight && minIndex*1.8<avgTime && (maxIndex - minIndex)*1.8<avgWidth)
{
if(temC > testC)
{
testC = temC;
AIFtestZ = j;
AIFtestX = l;
AIFtestY = k;
}
}
}
}
}
delete [] AreaAndCt;
delete [] DsFirstOrder;
delete [] DsSecondOrder;
int AIFz = AIFtestZ;
int AIFy = AIFtestY;
int AIFx = AIFtestX;
/*AIF end*/
for(int i = 0 ;i < PWIconst->PSetNum; ++i)
{
for(int j = 0;j < PWIconst->PSliceNum;++j)
{
for(int k = 0;k < PWIcommon->height;++k)
{
for(int l = 0;l < PWIcommon->width;++l)
{
//获取Cav的值
PWICav[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]=Cav(PWIArray[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)],MRtype,PWIconst->x[MRtype][1],PWIconst->x[MRtype][2]);
}
}
}
}
Uint16 temPixel[128*128];
cout<<"Cav Ct OK"<<endl;
//给FFT输入做赋值
fftw_plan p;
//计算卷积
for(int i = 0 ;i < PWIconst->PSliceNum; ++i )
{
for(int j = 0; j < PWIcommon->height;++j)
{
for(int k = 0;k < PWIcommon->width; ++k)
{
//zero padding!!!!!!!!!!!!!! 不是这样
for(int l = S0Index ; l < PWIconst->PSetNum;++l)
{ //15 52 44
TempInFFTCt[l-S0Index][0]=PWICt[TWO_D(l,i,PWIconst->PSliceNum)].PixelData[TWO_D(j,k,PWIcommon->width)];
TempInFFTCa[l-S0Index][0]=PWICav[TWO_D(l,AIFz,PWIconst->PSliceNum)].PixelData[TWO_D(AIFy,AIFx,PWIcommon->width)];
TempInFFTCt[l-S0Index][1] = 0;
TempInFFTCa[l-S0Index][1] = 0;
}
for(int l = PWIconst->PSetNum-S0Index ; l < 2*(PWIconst->PSetNum-S0Index);++l)
{
TempInFFTCt[l][0] = 0;
TempInFFTCa[l][0] = 0;
TempInFFTCt[l][1] = 0;
TempInFFTCa[l][1] = 0;
}
//计算FFT
p=fftw_plan_dft_1d( PWIconst->PSetNum-S0Index ,TempInFFTCt ,TempOutFFTCt , FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(p);
fftw_destroy_plan(p);
p=fftw_plan_dft_1d(PWIconst->PSetNum-S0Index ,TempInFFTCa, TempOutFFTCa , FFTW_FORWARD, FFTW_ESTIMATE);
fftw_execute(p); //理解out
fftw_destroy_plan(p);
//FFT(TempInFFTCt,TempOutFFTCt,FFTLayer);
//FFT(TempInFFTCa,TempOutFFTCa,FFTLayer);
_signal maxFFTCa=-99999;
for(int l = 0 ; l < 2 * (PWIconst->PSetNum - S0Index); ++l)
{
int tempFFTCa = sqrt(TempOutFFTCa[l][0]*TempOutFFTCa[l][0]+TempOutFFTCa[l][1]*TempOutFFTCa[l][1]);
if(maxFFTCa < tempFFTCa)
maxFFTCa = tempFFTCa;
}
_signal TempN = maxFFTCa * PWIconst->pr/2;
_signal TempG;
for(int l = 0 ; l < 2 * (PWIconst->PSetNum - S0Index); ++l)
{
int tempFFTCa = sqrt(TempOutFFTCa[l][0]*TempOutFFTCa[l][0]+TempOutFFTCa[l][1]*TempOutFFTCa[l][1]);
if(tempFFTCa > TempN && l != 0)
{
TempG=(tempFFTCa*tempFFTCa-TempN*TempN)/(tempFFTCa*tempFFTCa);
}else if(l==0)
{
TempG=1;
}else
{
TempG=0;
}
if(TempG!=0)
{
TempInIFFT[l][0]=TempG * Divide_Real(TempOutFFTCt[l],TempOutFFTCa[l]);
TempInIFFT[l][1]=TempG * Divide_Img(TempOutFFTCt[l],TempOutFFTCa[l]);
}else
{
TempInIFFT[l][0]=0;
TempInIFFT[l][1]=0;
}
//cout<<TempInIFFT[l]<<endl;
}
//计算IFFT
p=fftw_plan_dft_1d(PWIconst->PSetNum-S0Index,TempInIFFT,TempOutIFFT, FFTW_BACKWARD, FFTW_ESTIMATE);
fftw_execute(p);
fftw_destroy_plan(p);
//求出Rt
for(int l = 0 ; l < PWIconst->PSetNum-S0Index; ++l)
{
PWIRt[TWO_D(l,i,PWIconst->PSliceNum)].PixelData[TWO_D(j,k,PWIcommon->width)]=1/(PWIconst->PSetNum*1.8)*TempOutIFFT[l][0];
//cout<<PWIRt[TWO_D(i,l,PWIconst->PSliceNum)].PixelData[TWO_D(j,k,PWIcommon->width)]<<endl;
}
}
}
}
//free fft
//估算Kav
int calVOF;
int calAIF;
_signal temVOF[62];
_signal temAIF[62];
calVOF = calcul(1800,temVOF,PWIconst->PSetNum);
calAIF = calcul(1800,temAIF,PWIconst->PSetNum);
cout<<"KAV: AIF:"<<calAIF<<" VOF:"<<calVOF<<endl;
//计算CBV MTT
for(int i = 0; i < PWIconst->PSliceNum; ++i)
{
PWICBV[i].allocMemory(PWIcommon->height*PWIcommon->width);
PWIMTT[i].allocMemory(PWIcommon->height*PWIcommon->width);
PWICBF[i].allocMemory(PWIcommon->height*PWIcommon->width);
PWITmax[i].allocMemory(PWIcommon->height*PWIcommon->width);
}
_signal Integral_Ca=0;
_signal Integral_Ct=0;
_signal k0 = getK0(PWIconst->ro,PWIconst->HSV,PWIconst->HLV);
int kav =1;
for(int j = 0 ; j < PWIconst->PSliceNum; ++j)
{
for(int k = 0; k < PWIcommon->height; ++k)
{
for(int l = 0; l < PWIcommon->width; ++l)
{
_signal maxRt = -10000;
_signal maxRtt = 0;
for(int i = 0; i < PWIconst->PSetNum-S0Index; ++i)
{
tempCt[i]=PWICt[TWO_D(i+S0Index,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
tempCa[i]=PWICav[TWO_D(i+S0Index,AIFz,PWIconst->PSliceNum)].PixelData[TWO_D(AIFy,AIFx,PWIcommon->width)];
//求出rt达到最大值时的t值
/*if(j==SelectSlice&&k==index_x&&l==index_y)
{
cout<<PWIRt[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]<<" ";
}*/
//i<=(PWIconst->PSetNum-S0Index)/2+1 &&
if( i <= (PWIconst->PSetNum-S0Index)/2+1 && PWIRt[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)]>maxRt)
{
maxRt = PWIRt[TWO_D(i,j,PWIconst->PSliceNum)].PixelData[TWO_D(k,l,PWIcommon->width)];
maxRtt = i*1.8;
}
}
Integral_Ca=calcul(1800,tempCa,PWIconst->PSetNum-S0Index);
Integral_Ct=calcul(1800,tempCt,PWIconst->PSetNum-S0Index);
//if(s0[j].PixelData[TWO_D(k,l,PWIcommon->width)] != 0)//是否在mask内
PWICBV[j].PixelData[TWO_D(k,l,PWIcommon->width)]=Integral_Ct/Integral_Ca*k0*kav;
//else
// PWICBV[j].PixelData[TWO_D(k,l,PWIcommon->width)] = 0;
PWICBF[j].PixelData[TWO_D(k,l,PWIcommon->width)]= maxRt*k0*kav*60;
PWIMTT[j].PixelData[TWO_D(k,l,PWIcommon->width)] = maxRtt;
/*if(j==SelectSlice&&l==index_x&&k==index_y)
{
cout<<"MaxRt:"<<maxRt<<" PWICBF:"<<PWICBF[j].PixelData[TWO_D(k,l,PWIcommon->width)]<<" shu:"<<maxRt*k0*kav*60<<endl;
}*/
}
}
string s_mtt_tem = output+"bmpMTT/"+itos(j)+"_MTT.bmp";
string s_tmax_tem = output+"bmpTmax/"+itos(j)+"_Tmax.bmp";
string s_cbf_tem = output+"bmpCBF/"+itos(j)+"_CBF.bmp";
string s_cbv_tem = output+"bmpCBV/"+itos(j)+"_CBV.bmp";
//计算MTT
for(int i = 0 ; i < 128*128 ; ++i )
{
PWITmax[j].PixelData[i] = 60*PWICBV[j].PixelData[i]/PWICBF[j].PixelData[i];
}
//输出MTT
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)(PWITmax[j].PixelData[i]*10);
}
PWIinfo.fileformat.getDataset()->putAndInsertUint16Array(DCM_PixelData,temPixel,128*128);
PWIinfo.fileformat.saveFile((output+"Tmax/MTT_"+itos(j)).c_str(),EXS_LittleEndianExplicit);
//输出Tmax
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)(PWIMTT[j].PixelData[i]);
}
PWIinfo.fileformat.getDataset()->putAndInsertUint16Array(DCM_PixelData,temPixel,128*128);
PWIinfo.fileformat.saveFile((output+"MTT/MTT_"+itos(j+1)).c_str(),EXS_LittleEndianExplicit);
//输出CBF
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)(PWICBF[j].PixelData[i]*10);
}
PWIinfo.fileformat.getDataset()->putAndInsertUint16Array(DCM_PixelData,temPixel,128*128);
PWIinfo.fileformat.saveFile((output+"CBF/CBF_"+itos(j)).c_str(),EXS_LittleEndianExplicit);
//输出CBV
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)(PWICBV[j].PixelData[i]*100);
}
PWIinfo.fileformat.getDataset()->putAndInsertUint16Array(DCM_PixelData,temPixel,128*128);
PWIinfo.fileformat.saveFile((output+"CBV/CBV_"+itos(j)).c_str(),EXS_LittleEndianExplicit);
//write BMP
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)((PWICBV[j].PixelData[i]<=0?0:PWICBV[j].PixelData[i])*100);
}
toBmp(128,128,temPixel,s_cbv_tem.c_str(),0,500,s0[j].PixelData);
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)((PWICBF[j].PixelData[i]<=0?0:PWICBF[j].PixelData[i])*10);
}
toBmp(128,128,temPixel,s_cbf_tem.c_str(),0,400,s0[j].PixelData);
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)((PWIMTT[j].PixelData[i]<=0?0:PWIMTT[j].PixelData[i])*10);
}
toBmp(128,128,temPixel,s_tmax_tem.c_str(),0,120,s0[j].PixelData);
for(int i = 0 ; i < 128*128 ; ++i )
{
temPixel[i] = (Uint16)((PWITmax[j].PixelData[i]<=0?0:PWITmax[j].PixelData[i])*10);
}
toBmp(128,128,temPixel,s_mtt_tem.c_str(),0,160,s0[j].PixelData);
}
puts("PWI DONE");
return 0;
}