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4 changes: 3 additions & 1 deletion Common/CUDA/Siddon_projection.cu
Original file line number Diff line number Diff line change
Expand Up @@ -176,8 +176,10 @@ __global__ void kernelPixelDetector( Geometry geo,
float aM=fminf(fminf(axM,ayM),azM);

// line intersects voxel space -> am<aM
if (am>=aM)
if (am>=aM) {
detector[idx]=0;
return;
}

// Compute max/min image INDEX for intersection eq(11-19)
// Discussion about ternary operator in CUDA: https://stackoverflow.com/questions/7104384/in-cuda-why-is-a-b010-more-efficient-than-an-if-else-version
Expand Down
4 changes: 3 additions & 1 deletion Common/CUDA/Siddon_projection_parallel.cu
Original file line number Diff line number Diff line change
Expand Up @@ -180,8 +180,10 @@ __global__ void kernelPixelDetector_parallel( Geometry geo,
float aM=(fminf(axM,ayM));

// line intersects voxel space -> am<aM
if (am>=aM)
if (am>=aM) {
detector[idx]=0.0f;
return;
}

// Compute max/min image INDEX for intersection eq(11-19)
// Discussion about ternary operator in CUDA: https://stackoverflow.com/questions/7104384/in-cuda-why-is-a-b010-more-efficient-than-an-if-else-version
Expand Down
41 changes: 41 additions & 0 deletions Python/tests/test_siddon_missed_rays.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,41 @@
import numpy as np
import pytest
import tigre


@pytest.mark.parametrize("mode", ["cone", "parallel"])
def test_siddon_missed_rays(mode):
"""Test that Siddon projection handles missed rays properly for cone and parallel geometry."""
geo = tigre.geometry_default(high_resolution=False)
geo.mode = mode
# Make detector large enough so that outer rays do not intersect the voxel volume
geo.nDetector = np.array([256, 256])
geo.dDetector = np.array([3.0, 3.0])
geo.sDetector = geo.nDetector * geo.dDetector

img = np.ones(tuple(geo.nVoxel.astype(int)), dtype=np.float32)
angles = np.array([0.0, 0.5], dtype=np.float32)

proj = tigre.Ax(img, geo, angles, "Siddon")

# Missed rays must be exactly 0
assert not np.isnan(proj).any(), f"NaNs detected in {mode} Siddon projection"
assert (proj == 0.0).sum() > 0, f"Expected missed rays in {mode} Siddon projection"
# Intersecting rays must be positive
assert (proj > 0.0).sum() > 0, f"Expected intersecting rays in {mode} Siddon projection"


@pytest.mark.parametrize("mode", ["cone", "parallel"])
def test_siddon_completely_missed_volume(mode):
"""Test that Siddon projection returns all zeros when the volume is completely outside the beam."""
geo = tigre.geometry_default(high_resolution=False)
geo.mode = mode
# Offset the volume far away along Y (perpendicular to optical axis)
geo.offOrigin = np.array([0.0, 5000.0, 0.0])

img = np.ones(tuple(geo.nVoxel.astype(int)), dtype=np.float32)
angles = np.array([0.0], dtype=np.float32)

proj = tigre.Ax(img, geo, angles, "Siddon")

assert np.all(proj == 0.0), f"Expected all zeros for completely missed volume in {mode} Siddon"