ENH: Update test to use metadata in the image

KitwareMedical · Jul 14, 2023 · c2c2f3b · c2c2f3b
1 parent de527a1
commit c2c2f3b
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Showing 4 changed files with 6 additions and 13 deletions.
diff --git a/test/Baseline/ScanConvertSliceSeriesTestOutput.mha.sha512 b/test/Baseline/ScanConvertSliceSeriesTestOutput.mha.sha512
@@ -0,0 +1 @@
+517f382d498571f325ac804602aa373fd6db0786d25cd9e38c6097dd8251ea17f735b28670036bfab26cdddc94312486ef48899d089c8f4314baa41a6645b1ff
diff --git a/test/Baseline/itkSliceSeriesSpecialCoordinatesImageTestPython.mha.sha512 b/test/Baseline/itkSliceSeriesSpecialCoordinatesImageTestPython.mha.sha512
diff --git a/wrapping/test/CMakeLists.txt b/wrapping/test/CMakeLists.txt
@@ -66,7 +66,7 @@ itk_python_add_test(NAME PythonSliceSeriesResampleTest
  TEST_DRIVER_ARGS
  --compareIntensityTolerance 1
  --compare
- DATA{${test_baseline_dir}/itkSliceSeriesSpecialCoordinatesImageTestPython.mha}
+ DATA{${test_baseline_dir}/ScanConvertSliceSeriesTestOutput.mha}
  ${ITK_TEST_OUTPUT_DIR}/itkSliceSeriesSpecialCoordinatesImageTestPython.mha
  COMMAND PythonSliceSeriesResample.py
  -i DATA{${test_input_dir}/bmode_p59.hdf5}

diff --git a/wrapping/test/PythonSliceSeriesResample.py b/wrapping/test/PythonSliceSeriesResample.py
@@ -35,23 +35,16 @@
 image_type = itk.SliceSeriesSpecialCoordinatesImage[slice_type, transform_type]
 
 # read the image
-reader = itk.ImageFileReader[image_type].New()
-reader.SetImageIO(itk.HDF5UltrasoundImageIO.New())
+reader = itk.UltrasoundImageFileReader[image_type].New()
 reader.SetFileName(args.input_image)
 reader.Update()
 image = reader.GetOutput()
-
-# add transforms with monotonic translation
 image.DisconnectPipeline()
-for k in range(image.GetBufferedRegion().GetSize()[2]):
- transform = transform_type.New()
- transform.Translate([0, 0, k])
- image.SetSliceTransform(k, transform)
 
 print("Verify resampling works with SliceSeriesSpecialCoordinatesImage input")
-output_size = [128, 150, 100]
-output_spacing = [2.0] * dimension
-output_origin = [0.0] * dimension
+output_size = [46, 55, 82]
+output_spacing = [1.0] * dimension
+output_origin = [0.0, -27.2693, -40.6222]
 result = itk.resample_image_filter(image, size=output_size, output_spacing=output_spacing, output_origin=output_origin)
 itk.imwrite(result, args.output_image)
 print(f"Image written to {args.output_image}")