def METHOD_NAME(self, im_type):
    im = im_type(self.imt.copy())
    normalizer = NormalizeIntensity()
    normalized = normalizer(im)
    self.assertTrue(normalized.dtype in (np.float32, torch.float32))
    expected = (self.imt - np.mean(self.imt)) / np.std(self.imt)
    assert_allclose(normalized, expected, type_test="tensor", rtol=1e-3)