diff --git a/openpiv/pyprocess3D.py b/openpiv/pyprocess3D.py
index 1b12a828..4bb55bcf 100644
--- a/openpiv/pyprocess3D.py
+++ b/openpiv/pyprocess3D.py
@@ -388,7 +388,7 @@ def correlate_windows(
 
         f2a = rfftn(normalize_intensity(window_a), s=(nfftx, nffty, nfftz))
         f2b = rfftn(normalize_intensity(window_b), s=(nfftx, nffty, nfftz))
-        corr = irfftn(f2a * f2b).real
+        corr = irfftn(f2a * f2b, s=(nfftx, nffty, nfftz)).real
         corr = corr[
             : window_a.shape[0] + window_b.shape[0],
             : window_b.shape[1] + window_a.shape[1],
diff --git a/openpiv/test/test_pyprocess3d_fft.py b/openpiv/test/test_pyprocess3d_fft.py
new file mode 100644
index 00000000..76c8efb6
--- /dev/null
+++ b/openpiv/test/test_pyprocess3d_fft.py
@@ -0,0 +1,49 @@
+import numpy as np
+import pytest
+from scipy.signal import correlate
+
+from openpiv.pyprocess3D import correlate_windows, extended_search_area_piv3D
+
+
+@pytest.mark.parametrize("dtype", [np.float32, np.float64, np.int16])
+@pytest.mark.parametrize("extra_depth", [0, 1, 2])
+@pytest.mark.parametrize("first_shape,second_shape", [
+    ((3, 4, 5), (3, 4, 5)),
+    ((4, 3, 4), (5, 4, 6)),
+])
+def test_correlation_preserves_fft_depth(dtype, extra_depth, first_shape,
+                                         second_shape):
+    rng = np.random.default_rng(0)
+    first = rng.integers(0, 8, size=first_shape).astype(dtype)
+    second = rng.integers(0, 8, size=second_shape).astype(dtype)
+    original_first, original_second = first.copy(), second.copy()
+    full_shape = np.array(first_shape) + second_shape - 1
+    fft_depth = int(full_shape[2] + extra_depth)
+
+    actual = correlate_windows(first, second, nffty=int(full_shape[1] + 2),
+                               nfftz=fft_depth)
+
+    reference = correlate(first - first.mean(), second - second.mean(),
+                          mode="full", method="direct")
+    expected_shape = (full_shape[0] + 1, full_shape[1] + 1,
+                      min(full_shape[2] + 1, fft_depth))
+    expected = np.zeros(expected_shape)
+    expected[tuple(slice(0, n) for n in full_shape)] = reference
+    np.testing.assert_allclose(actual, expected, rtol=2e-5, atol=2e-5)
+    np.testing.assert_array_equal(first, original_first)
+    np.testing.assert_array_equal(second, original_second)
+
+
+@pytest.mark.parametrize("fft_depth", [15, 17, 19])
+@pytest.mark.parametrize("dt", [(1., 1., 1.), (.5, .25, .75)])
+def test_stationary_volume_with_odd_fft_depth(fft_depth, dt):
+    frame = np.random.default_rng(0).integers(0, 256, size=(16, 16, 16))
+    original = frame.copy()
+
+    velocity = extended_search_area_piv3D(
+        frame, frame, window_size=(8, 8, 8), search_area_size=(8, 8, 8),
+        nfftz=fft_depth, dt=dt,
+    )
+
+    np.testing.assert_allclose(velocity, 0., atol=1e-10)
+    np.testing.assert_array_equal(frame, original)