dynamicSPECT/vtkInterface.py

import vtk, qt, ctk, slicer
import numpy as np

class vtkInterface:
  def __init__(self, parent):
    parent.title = "vtk Interface"
    parent.categories = ["Examples"]
    parent.dependencies = []
    parent.contributors = ["Andrej Studen (FMF/JSI)"] # replace with "Firstname Lastname (Org)"
    parent.helpText = """
    Convert native numpy data structures to vtk
    """
    parent.acknowledgementText = """
    This module was developed within the frame of the ARRS sponsored medical
    physics research programe to investigate quantitative measurements of cardiac
    function using sestamibi-like tracers
    """ # replace with organization, grant and thanks.
    self.parent = parent

def numpyToVTK3D(numpy_array, origin, spacing):
    v=vtk.vtkImageData()
    v.SetDimensions(
            numpy_array.shape[0],
            numpy_array.shape[1],
            numpy_array.shape[2])
    v.SetOrigin(origin[0], origin[1], origin[2])
    v.SetSpacing(spacing[0], spacing[1], spacing[2])
    scalars = vtk.vtkShortArray()
    for k in range(0,numpy_array.shape[2]):
       #print '.',
       kOffset = k * numpy_array.shape[1]*numpy_array.shape[0]
       for j in range(0,numpy_array.shape[1]):
           jOffset = j * numpy_array.shape[0]
           for i in range(0,numpy_array.shape[0]):
               offset = i + jOffset + kOffset;
               scalars.InsertTuple1(offset,numpy_array[i,j,k])
    #print
    v.GetPointData().SetScalars(scalars)
    return v

def completeOrientation(orientation):
    o=orientation
    o.append(o[1]*o[5]-o[2]*o[4])#0,3
    o.append(o[2]*o[3]-o[0]*o[5])#1,4
    o.append(o[0]*o[4]-o[1]*o[3])#2,5
    return o