有没有使用VTK将DICOM(CT扫描)图像转换为点云的方法?DICOM到VTK中的点云
VTK允许读取DICOM和DICOM系列和体绘制,但可以从一系列DICOM图像生成点云吗?
如果在VTK中不可行,是否有其他库可用于此目的?
有没有使用VTK将DICOM(CT扫描)图像转换为点云的方法?DICOM到VTK中的点云
VTK允许读取DICOM和DICOM系列和体绘制,但可以从一系列DICOM图像生成点云吗?
如果在VTK中不可行,是否有其他库可用于此目的?
我想我可能已经找到了一种方法,毕竟。还没有尝试过,但在理论上它应该工作。
首先,DICOM图像需要使用VTK转换为.vtk格式,一旦DICOM图像转换为.vtk,然后可以使用PCL(点云库)将其转换为.pcd(点云格式)。
下面是我一直在使用的一些资源,它只适用于非常简单的dicom目录结构:(tbh我不认为VTK有能力执行更复杂的目录...)。但如果它有帮助:
pcl::PointCloud<pcl::PointXYZI>::Ptr cloud(new pcl::PointCloud<pcl::PointXYZI>);
//dicom read
vtkFileOutputWindow *outwin = vtkFileOutputWindow::New();
outwin->SetFileName("vtklog.txt");
outwin->SetInstance(outwin);
vtkSmartPointer<ErrorObserver> errorObserver = vtkSmartPointer<ErrorObserver>::New();
vtkSmartPointer<vtkDICOMImageReader> reader = vtkSmartPointer<vtkDICOMImageReader>::New();
reader->AddObserver(vtkCommand::ErrorEvent, errorObserver);
reader->AddObserver(vtkCommand::WarningEvent, errorObserver);
vtkSmartPointer<vtkImageData> sliceData = vtkSmartPointer<vtkImageData>::New();
reader->SetDirectoryName(dicomDirectory.c_str());
reader->Update();
if (errorObserver->GetError() || errorObserver->GetWarning())
{
std::cout << "Failed DICOM file access" << std::endl;
return false;
}
sliceData = reader->GetOutput();
outwin->Delete();
//extracting pointcloud
int numberOfDims = sliceData->GetDataDimension();
int * dims = sliceData->GetDimensions();
std::cout << "Cloud dimensions: ";
int totalPoints = 1;
for (int i = 0; i < numberOfDims; i++)
{
std::cout << dims[i] << " , ";
totalPoints = totalPoints * dims[i];
}
std::cout << std::endl;
std::cout << "Number of dicom points: " << totalPoints << std::endl;
//generate pcl point cloud
double* dataRange = sliceData->GetScalarRange();
double* spacingData = reader->GetDataSpacing();
std::cout << "Data intensity bounds... min: " << dataRange[0] << ", max: " << dataRange[1] << std::endl;
if (numberOfDims != 3)
{
std::cout << "Incorrect number of dimensions in dicom file, generation failed..." << std::endl;
return false;
}
else
{
double xScale = spacingData[0];
double yScale = spacingData[1];
double zScale = spacingData[2];
std::cout << "x spacing: " << xScale << std::endl;
std::cout << "y spacing: " << yScale << std::endl;
std::cout << "z spacing: " << zScale << std::endl;
for (int z = 0; z < dims[2]; z++)
{
if (z % 50 == 0)
{
double percentageComplete = (double)z/(double)dims[2];
std::cout << "Dicom Read Progress: " << (int)(100.0 * percentageComplete) << "%" << std::endl;
}
for (int y = 0; y < dims[1]; y++)
{
for (int x = 0; x < dims[0]; x++)
{
pcl::PointXYZI tempPt = pcl::PointXYZI();
tempPt.x = x * xScale;
tempPt.y = y * yScale;
tempPt.z = z * zScale;
double tempIntensity = sliceData->GetScalarComponentAsDouble(x, y, z, 0);
if (!isinf(tempIntensity))
{
tempPt.intensity = tempIntensity;
}
else
{
tempPt.intensity = 0;
}
cloud->points.push_back(tempPt);
}
}
std::cout << reader->GetTransferSyntaxUID() << std::endl;
//std::cout << reader->get
}
}