本文整理汇总了C++中hoNDArray类的典型用法代码示例。如果您正苦于以下问题：C++ hoNDArray类的具体用法？C++ hoNDArray怎么用？C++ hoNDArray使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了hoNDArray类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: maxAbsolute
void maxAbsolute(const hoNDArray<T>& x, T& r, size_t& ind)
{
size_t N = x.get_number_of_elements();
const T* pX = x.begin();
ind = 0;
if ( N == 0 ) return;
long long n;
typename realType<T>::Type v = abs(pX[0]);
typename realType<T>::Type v2;
ind = 0;
for ( n=1; n<(long long)N; n++ )
{
v2 = std::abs(pX[n]);
if ( v2 > v )
{
v = v2;
ind = n;
}
}
r = pX[ind];
}示例2: correct_time_stamp_with_fitting
void correct_time_stamp_with_fitting(hoNDArray<float>& time_stamp, size_t startE1, size_t endE1)
{
try
{
size_t E1 = time_stamp.get_size(0);
size_t N = time_stamp.get_size(1);
size_t rE1 = endE1 - startE1 + 1;
size_t e1, n;
size_t num_acq_read_outs = 0;
for ( n=0; n<N; n++ )
{
for ( e1=0; e1<E1; e1++ )
{
if ( time_stamp(e1, n) > 0 )
{
num_acq_read_outs++;
}
}
}
GDEBUG_STREAM(" Number of acquired lines : " << num_acq_read_outs);
float a, b; // y = a + b*x
{
std::vector<float> x(num_acq_read_outs), y(num_acq_read_outs);
size_t ind = 0;
for ( n=0; n<N; n++ )
{
for ( e1=startE1; e1<=endE1; e1++ )
{
float acq_time = time_stamp(e1, n);
if ( acq_time > 0 )
{
x[ind] = (float)(e1-startE1 + n*rE1);
y[ind] = acq_time;
ind++;
}
}
}
Gadgetron::simple_line_fit(x, y, a, b);
}
for ( n=0; n<N; n++ )
{
for ( e1=startE1; e1<=endE1; e1++ )
{
float x_v = (float)(e1-startE1 + n*rE1);
time_stamp(e1, n) = a + b*x_v;
}
}
}
catch(...)
{
GADGET_THROW("Exceptions happened in correct_time_stamp_with_fitting(...) ... ");
}
}示例3: grappa2d_calib_convolution_kernel
void grappa2d_calib_convolution_kernel(const hoNDArray<T>& acsSrc, const hoNDArray<T>& acsDst, size_t accelFactor, double thres, size_t kRO, size_t kNE1, hoNDArray<T>& convKer)
{
size_t startRO = 0;
size_t endRO = acsSrc.get_size(0) - 1;
size_t startE1 = 0;
size_t endE1 = acsSrc.get_size(1) - 1;
grappa2d_calib_convolution_kernel(acsSrc, acsDst, accelFactor, thres, kRO, kNE1, startRO, endRO, startE1, endE1, convKer);
}示例4: cfZero
int CS_FOCUSS_2D::fRecon(hoNDArray<std::complex<float> > &hacfInput, hoNDArray<std::complex<float> > &hacfRecon){
// input dimensions
vtDim_ = *hacfInput.get_dimensions();
// number of channels
iNChannels_ = (int)vtDim_[2];
// if Matlab is used, initialize singleton variables
/*if (bMatlab_){
for (int iI = 0; iI < 20; iI++){
GlobalVar_FOCUSS::instance()->vbStatPrinc_.push_back(false);
GlobalVar_FOCUSS::instance()->vfPrincipleComponents_.push_back(new hoNDArray<std::complex<float> > ());
}
}*/
// const complex values
const std::complex<float> cfZero(0.0);
const std::complex<float> cfOne(1.0);
// store incoming data in array
hoNDArray<std::complex<float> > hacfKSpace = hacfInput;
// permute kSpace: x-y-c -> y-x-c
std::vector<size_t> vtDimOrder; vtDimOrder.push_back(1); vtDimOrder.push_back(0); vtDimOrder.push_back(2);
hacfKSpace = *permute(&hacfKSpace, &vtDimOrder,false);
// update dim_ vector
vtDim_.clear(); vtDim_ = *hacfKSpace.get_dimensions();
//------------------------------------------------------------------------
//-------------------------- sampling mask -------------------------------
//------------------------------------------------------------------------
hoNDArray<std::complex<float> > hacfFullMask(hacfKSpace.get_dimensions()); hacfFullMask.fill(cfZero);
hoNDArray<bool> habFullMask(hacfKSpace.get_dimensions()); habFullMask.fill(false);
pcfPtr_ = hacfKSpace.get_data_ptr();
pcfPtr2_ = hacfFullMask.get_data_ptr();
pbPtr_ = habFullMask.get_data_ptr();
for (int i = 0; i < hacfKSpace.get_number_of_elements(); i++)
if (pcfPtr_[i] != cfZero){
pcfPtr2_[i] = cfOne;
pbPtr_[i] = true;
}
//-------------------------------------------------------------------------
//---------------- iFFT x direction - x ky kz ^= v (n�) -------------------
//-------------------------------------------------------------------------
if (Transform_fftBA_->get_active()){
if (!bMatlab_ && bDebug_)
#if __GADGETRON_VERSION_HIGHER_3_6__ == 1
GDEBUG("FFT in read direction..\n");
#else
GADGET_DEBUG1("FFT in read direction..\n");
#endif
else if(bMatlab_ && bDebug_){
// mexPrintf("FFT in read direction..\n");mexEvalString("drawnow;");
}
Transform_fftBA_->FTransform(hacfKSpace);
}示例5: compute_phase_time_stamp
void compute_phase_time_stamp(const hoNDArray<float>& time_stamp, const hoNDArray<float>& cpt_time_stamp, size_t startE1, size_t endE1,
hoNDArray<float>& phs_time_stamp, hoNDArray<float>& phs_cpt_time_stamp)
{
try
{
size_t E1 = time_stamp.get_size(0);
size_t N = time_stamp.get_size(1);
size_t rE1 = endE1 - startE1 + 1;
size_t e1, n;
for ( n=0; n<N; n++ )
{
// phase time stamp as the mean of all aquired lines
size_t num = 0;
float tt = 0.0f;
for ( e1=startE1; e1<=endE1; e1++ )
{
if(time_stamp(e1, n)>0)
{
tt += time_stamp(e1, n);
num++;
}
}
phs_time_stamp(n, 0) = tt/((num>0) ? num : 1);
//// phase cpt time as the median of all acquired lines
//std::vector<float> cpt_buf(rE1, 0);
//for ( e1=startE1; e1<=endE1; e1++ )
//{
// if(cpt_time_stamp(e1, n)>=0)
// cpt_buf[e1-startE1] = cpt_time_stamp(e1, n);
//}
//std::sort(cpt_buf.begin(), cpt_buf.end());
//phs_cpt_time_stamp(n, 0) = cpt_buf[E1/2-startE1];
// phase cpt time as the cpt time of center line
phs_cpt_time_stamp(n, 0) = cpt_time_stamp(E1/2, n);
}
}
catch(...)
{
GADGET_THROW("Exceptions happened in compute_phase_time_stamp(...) ... ");
}
}示例6: apply_unmix_coeff_kspace
void apply_unmix_coeff_kspace(const hoNDArray<T>& kspace, const hoNDArray<T>& unmixCoeff, hoNDArray<T>& complexIm)
{
try
{
GADGET_CHECK_THROW(kspace.get_size(0) == unmixCoeff.get_size(0));
GADGET_CHECK_THROW(kspace.get_size(1) == unmixCoeff.get_size(1));
GADGET_CHECK_THROW(kspace.get_size(2) == unmixCoeff.get_size(2));
hoNDArray<T> buffer2DT(kspace);
GADGET_CATCH_THROW(Gadgetron::hoNDFFT<typename realType<T>::Type>::instance()->ifft2c(kspace, buffer2DT));
std::vector<size_t> dim;
kspace.get_dimensions(dim);
dim[2] = 1;
if (!complexIm.dimensions_equal(&dim))
{
complexIm.create(&dim);
}
Gadgetron::multiply(buffer2DT, unmixCoeff, buffer2DT);
Gadgetron::sum_over_dimension(buffer2DT, complexIm, 2);
}
catch (...)
{
GADGET_THROW("Errors in apply_unmix_coeff_kspace(const hoNDArray<T>& kspace, const hoNDArray<T>& unmixCoeff, hoNDArray<T>& complexIm) ... ");
}
}示例7: apply_unmix_coeff_aliased_image
void apply_unmix_coeff_aliased_image(const hoNDArray<T>& aliasedIm, const hoNDArray<T>& unmixCoeff, hoNDArray<T>& complexIm)
{
try
{
GADGET_CHECK_THROW(aliasedIm.get_size(0) == unmixCoeff.get_size(0));
GADGET_CHECK_THROW(aliasedIm.get_size(1) == unmixCoeff.get_size(1));
GADGET_CHECK_THROW(aliasedIm.get_size(2) == unmixCoeff.get_size(2));
std::vector<size_t> dim;
aliasedIm.get_dimensions(dim);
dim[2] = 1;
if (!complexIm.dimensions_equal(&dim))
{
complexIm.create(&dim);
}
hoNDArray<T> buffer2DT(aliasedIm);
Gadgetron::multiply(aliasedIm, unmixCoeff, buffer2DT);
Gadgetron::sum_over_dimension(buffer2DT, complexIm, 2);
}
catch (...)
{
GADGET_THROW("Errors in apply_unmix_coeff_aliased_image(const hoNDArray<T>& aliasedIm, const hoNDArray<T>& unmixCoeff, hoNDArray<T>& complexIm) ... ");
}
}示例8: update_field_map
hoNDArray<uint16_t>
update_field_map(const hoNDArray<uint16_t> &field_map_index, const hoNDArray<uint16_t> &proposed_field_map_index,
const hoNDArray<float> &residuals_map, const hoNDArray<float> &lambda_map) {
hoNDArray<float> residual_diff_map(field_map_index.get_dimensions());
const auto X = field_map_index.get_size(0);
const auto Y = field_map_index.get_size(1);
const auto Z = field_map_index.get_size(2);
for (size_t kz = 0; kz < Z; kz++) {
for (size_t ky = 0; ky < Y; ky++) {
for (size_t kx = 0; kx < X; kx++) {
residual_diff_map(kx, ky,kz) = residuals_map(field_map_index(kx, ky,kz), kx, ky,kz) -
residuals_map(proposed_field_map_index(kx, ky,kz), kx, ky,kz);
}
}
}
std::vector<boost::default_color_type> color_map;
if (Z == 1) {
color_map = graph_cut<2>(field_map_index, proposed_field_map_index, lambda_map,
residual_diff_map);
} else {
color_map = graph_cut<3>(field_map_index, proposed_field_map_index, lambda_map, residual_diff_map);
}
auto result = field_map_index;
size_t updated_voxels = 0;
for (size_t i = 0; i < field_map_index.get_number_of_elements(); i++) {
if (color_map[i] != boost::default_color_type::black_color) {
updated_voxels++;
result[i] = proposed_field_map_index[i];
}
}
return result;
}示例9: maxValue
void maxValue(const hoNDArray<T>& a, T& v)
{
typedef T ValueType;
try
{
const ValueType* pA = a.begin();
size_t n = a.get_number_of_elements();
v = pA[0];
size_t ii;
for (ii=1; ii<n; ii++)
{
if (pA[ii]>v) v = pA[ii];
}
}
catch(...)
{
GADGET_THROW("Errors in maxValue(const hoNDArray<T>& a, T& v) ... ");
}
}示例10: sort
void sort(const hoNDArray<T>& x, hoNDArray<T>& r, bool isascending)
{
if ( &r != &x )
{
if ( r.get_number_of_elements()!=x.get_number_of_elements())
{
r = x;
}
else
{
memcpy(r.begin(), x.begin(), x.get_number_of_bytes());
}
}
sort(x.get_number_of_elements(), x.begin(), r.begin(), isascending);
}示例11: outputPlotIm
void outputPlotIm(const hoNDArray<unsigned char>& im, bool trueColor, hoNDArray<float>& plotIm)
{
size_t xsize = im.get_size(1);
size_t ysize = im.get_size(2);
plotIm.copyFrom(im);
if (trueColor)
{
std::vector<size_t> dim_order(3);
dim_order[0] = 1;
dim_order[1] = 2;
dim_order[2] = 0;
hoNDArray<float> plotImPermuted;
plotImPermuted.copyFrom(plotIm);
plotIm.create(xsize, ysize, 3);
Gadgetron::permute(plotImPermuted, plotIm, dim_order);
}
else
{
hoNDArray<float> plotIm2D;
Gadgetron::sum_over_dimension(plotIm, plotIm2D, 0);
plotIm2D.squeeze();
std::vector<size_t> dim_order(2);
dim_order[0] = 0;
dim_order[1] = 1;
plotIm.create(xsize, ysize);
Gadgetron::permute(plotIm2D, plotIm, dim_order);
}
}示例12: fatwater_separation
hoNDArray< std::complex<float> > fatwater_separation(hoNDArray< std::complex<float> >& data, FatWaterParameters p, FatWaterAlgorithm a)
{
//Get some data parameters
//7D, fixed order [X, Y, Z, CHA, N, S, LOC]
uint16_t X = data.get_size(0);
uint16_t Y = data.get_size(1);
uint16_t Z = data.get_size(2);
uint16_t CHA = data.get_size(3);
uint16_t N = data.get_size(4);
uint16_t S = data.get_size(5);
uint16_t LOC = data.get_size(6);
GDEBUG("Size of my array: %d, %d, %d .\n", X,Y,Z);
hoNDArray< std::complex<float> > out(X,Y,Z,CHA,N,2,LOC); // S dimension gets replaced by water/fat stuff
float fieldStrength = p.fieldStrengthT_;
std::vector<float> echoTimes = p.echoTimes_;
bool precessionIsClockwise = p.precessionIsClockwise_;
for (auto& te: echoTimes) {
te = te*0.001; // Echo times in seconds rather than milliseconds
}
GDEBUG("In toolbox - Field Strength: %f T \n", fieldStrength);
for (auto& te: echoTimes) {
GDEBUG("In toolbox - Echo time: %f seconds \n", te);
}
GDEBUG("In toolbox - PrecessionIsClockwise: %d \n", precessionIsClockwise);
//Get or set some algorithm parameters
//Gadgetron::ChemicalSpecies w = a.species_[0];
//Gadgetron::ChemicalSpecies f = a.species_[1];
// GDEBUG("In toolbox - Fat peaks: %f \n", f.ampFreq_[0].first);
// GDEBUG("In toolbox - Fat peaks 2: %f \n", f.ampFreq_[0].second);
// Set some initial parameters so we can get going
// These will have to be specified in the XML file eventually
std::pair<float,float> range_r2star = std::make_pair(0.0,0.0);
uint16_t num_r2star = 1;
std::pair<float,float> range_fm = std::make_pair(-80.0,80.0);
uint16_t num_fm = 101;
uint16_t num_iterations = 40;
uint16_t subsample = 1;
float lmap_power = 2.0;
float lambda = 0.02;
float lambda_extra = 0.02;
//Check that we have reasonable data for fat-water separation
//Calculate residual
//
float relAmp, freq_hz;
uint16_t npeaks;
uint16_t nspecies = a.species_.size();
uint16_t nte = echoTimes.size();
GDEBUG("In toolbox - NTE: %d \n", nte);
hoMatrix< std::complex<float> > phiMatrix(nte,nspecies);
for( int k1=0;k1<nte;k1++) {
for( int k2=0;k2<nspecies;k2++) {
phiMatrix(k1,k2) = 0.0;
npeaks = a.species_[k2].ampFreq_.size();
for( int k3=0;k3<npeaks;k3++) {
relAmp = a.species_[k2].ampFreq_[k3].first;
freq_hz = fieldStrength*GAMMABAR*a.species_[k2].ampFreq_[k3].second;
phiMatrix(k1,k2) += relAmp*std::complex<float>(cos(2*PI*echoTimes[k1]*freq_hz),sin(2*PI*echoTimes[k1]*freq_hz));
}
GDEBUG("Cur value phiMatrix = (%f,%f) \n", phiMatrix(k1,k2).real(), phiMatrix(k1,k2).imag());
}
}
//auto a_phiMatrix = as_arma_matrix(&phiMatrix);
//auto mymat2 = mymat.t()*mymat;
for(int ka=0;ka<phiMatrix.get_size(0);ka++) {
for(int kb=0;kb<phiMatrix.get_size(1);kb++) {
GDEBUG("Check phiMatrix(%d,%d) = %f + i %f \n", ka,kb,phiMatrix(ka,kb).real(),phiMatrix(ka,kb).imag());
}
}
hoMatrix< std::complex<float> > IdentMat(nte,nte);
for( int k1=0;k1<nte;k1++) {
for( int k2=0;k2<nte;k2++) {
if( k1==k2 ) {
IdentMat(k1,k2) = std::complex<float>(1.0,0.0);
} else {
IdentMat(k1,k2) = std::complex<float>(0.0,0.0);
}
}
}
// auto a_phiMatrix = as_arma_matrix(&IdentMat);
float fm;
std::vector<float> fms(num_fm);
fms[0] = range_fm.first;
//.........这里部分代码省略.........
示例13: correct_heart_beat_time_stamp_with_fitting
void correct_heart_beat_time_stamp_with_fitting(hoNDArray<float>& cpt_time_stamp, hoNDArray<int>& ind_hb, size_t startE1, size_t endE1,
const std::vector<size_t>& start_e1_hb, const std::vector<size_t>& end_e1_hb,
const std::vector<size_t>& start_n_hb, const std::vector<size_t>& end_n_hb )
{
try
{
size_t E1 = cpt_time_stamp.get_size(0);
size_t N = cpt_time_stamp.get_size(1);
size_t rE1 = endE1-startE1+1;
size_t e1, n, ind, ii;
size_t num_acq_read_outs = 0;
for ( n=0; n<N; n++ )
{
for ( e1=0; e1<E1; e1++ )
{
if ( cpt_time_stamp(e1, n) >= 0 )
{
num_acq_read_outs++;
}
}
}
size_t numOfHB = start_e1_hb.size();
std::vector<size_t> ind_HB_start(numOfHB);
std::vector<size_t> ind_HB_end(numOfHB);
for ( ind=0; ind<numOfHB; ind++ )
{
ind_HB_start[ind] = start_e1_hb[ind] + start_n_hb[ind] * E1;
ind_HB_end[ind] = end_e1_hb[ind] + end_n_hb[ind] * E1;
}
// --------------------------------------------------------
// fit a line to every heart beat
// --------------------------------------------------------
float a, b;
std::vector<float> A(numOfHB, 0.0f), B(numOfHB, 0.0f);
for ( ind=0; ind<numOfHB; ind++ )
{
std::vector<float> x, y;
size_t cpt;
for ( cpt=ind_HB_start[ind]; cpt<=ind_HB_end[ind]; cpt++ )
{
size_t n = cpt / E1;
size_t e1 = cpt - n*E1;
if(e1>=startE1 && e1<=endE1)
{
if ( cpt_time_stamp[cpt] > -1 )
{
size_t x_ind = (e1-startE1) + n*rE1;
x.push_back( (float)x_ind );
y.push_back(cpt_time_stamp[cpt]);
}
}
}
if ( !x.empty() )
{
Gadgetron::simple_line_fit(x, y, a, b);
A[ind] = a;
B[ind] = b;
}
}
// --------------------------------------------------------
// compute cpt time stamp for every line
// --------------------------------------------------------
size_t num = cpt_time_stamp.get_number_of_elements();
for ( ind=0; ind<num; ind++ )
{
n = ind / E1;
e1 = ind - n*E1;
if(e1>=startE1 && e1<=endE1)
{
// find to which heart beat this line belongs
bool foundHB = false;
for ( ii=0; ii<numOfHB; ii++ )
{
size_t startHB = ind_HB_start[ii];
size_t endHB = ind_HB_end[ii];
if ( ii==0 && ind<=startHB )
{
foundHB = true;
break;
}
if ( ii==numOfHB-1 && ind>=endHB )
{
foundHB = true;
break;
}
if ( ind>=startHB && ind<=endHB )
//.........这里部分代码省略.........
示例14: dotu
void dotu(const hoNDArray<T>& x, const hoNDArray<T>& y, T& r)
{
GADGET_DEBUG_CHECK_THROW(x.get_number_of_elements()==y.get_number_of_elements());
dotu(x.get_number_of_elements(), x.begin(), y.begin(), r);
}示例15: amax
template<class T> size_t amax(const hoNDArray<T>& x)
{
return amax(x.get_number_of_elements(), x.begin());
}