Load DICOM series using python

cpinter · June 21, 2018, 4:00pm

Hi Ben,

There are many convenience functions just for this in DICOMUtils. So you don’t need to go through the logic classes:

Slicer/Slicer/blob/master/Modules/Scripted/DICOMLib/DICOMUtils.py

import os
import vtk, qt, ctk, slicer
import logging

#########################################################
#
#
comment = """

  DICOMUtils is a collection of static-like DICOM
  utility functions facilitating convenient scripted
  use of the DICOM database

"""
#
#########################################################

#------------------------------------------------------------------------------
def loadPatientByUID(patientUID):
  """ Load patient by patient UID from DICOM database

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I see you want to load RT data. The code form this automated test might help:

github.com

SlicerRt/SlicerRT/blob/master/DicomRtImportExport/Testing/Python/DicomRtImportTest.py

import os
import unittest
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import *
import logging

class DicomRtImportTest(unittest.TestCase):
  def setUp(self):
    """ Do whatever is needed to reset the state - typically a scene clear will be enough.
    """
    slicer.mrmlScene.Clear(0)

    #TODO: Comment out
    #logFile = open('d:/pyTestLog.txt', 'a')
    #logFile.write(repr(slicer.modules.DicomRtImportTest) + '\n')
    #logFile.write(repr(slicer.modules.dicomrtimportexport) + '\n')
    #logFile.close()

  #------------------------------------------------------------------------------
  def runTest(self):

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or this

github.com

SlicerRt/SlicerRT/blob/master/Testing/Python/IGRTWorkflow_SelfTest.py

import os
import unittest
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import *
from DICOMLib import DICOMUtils
import logging

#
# IGRTWorkflow_SelfTest
#
# IGRT: Calculate isocenter shifting, and evaluate its effect on the dose
#   1. Load planning DICOM-RT data and day 2 volumes
#   2. Add day 2 volumes in Subject Hierarchy
#   3. Compute isodose lines for both dose distributions
#   4. Register day 2 CT to planning CT using rigid registration
#   5. Transform day 2 dose volumes using the result transform
#   6. Compute difference dose using gamma comparison for
#     6A. Planning dose and unregistered day 2 dose
#     6B. Planning dose and registered day 2 dose
#   7. Accumulate

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Load DICOM series using python

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