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Merged
merged 2 commits into from
Apr 22, 2025
Merged

The tag value for usinged int is 0 #537

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498be52
The tag value for usinged int is 0
MMelQin Apr 22, 2025
6d940f0
Fix formmating complaints
MMelQin Apr 22, 2025
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31 changes: 22 additions & 9 deletions monai/deploy/operators/dicom_series_to_volume_operator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -112,7 +112,9 @@ def generate_voxel_data(self, series):
# with the NumPy array returned from the ITK GetArrayViewFromImage on the image
# loaded from the same DICOM series.
vol_data = np.stack([s.get_pixel_array() for s in slices], axis=0)
if slices[0][0x0028,0x0103].value == 1:
# The above get_pixel_array() already considers the PixelRepresentation attribute,
# 0 is unsigned int, 1 is signed int
if slices[0][0x0028, 0x0103].value == 0:
vol_data = vol_data.astype(np.uint16)

# For now we support monochrome image only, for which DICOM Photometric Interpretation
Expand Down Expand Up @@ -155,24 +157,35 @@ def generate_voxel_data(self, series):
except KeyError:
slope = 1


# check if vol_data, intercept, and slope can be cast to uint16 without data loss
if np.can_cast(vol_data, np.uint16, casting='safe') and np.can_cast(intercept, np.uint16, casting='safe') and np.can_cast(slope, np.uint16, casting='safe'):
logging.info(f"Casting to uint16")
if (
np.can_cast(vol_data, np.uint16, casting="safe")
and np.can_cast(intercept, np.uint16, casting="safe")
and np.can_cast(slope, np.uint16, casting="safe")
):
logging.info("Casting to uint16")
vol_data = np.array(vol_data, dtype=np.uint16)
intercept = np.uint16(intercept)
slope = np.uint16(slope)
elif np.can_cast(vol_data, np.float32, casting='safe') and np.can_cast(intercept, np.float32, casting='safe') and np.can_cast(slope, np.float32, casting='safe'):
logging.info(f"Casting to float32")
elif (
np.can_cast(vol_data, np.float32, casting="safe")
and np.can_cast(intercept, np.float32, casting="safe")
and np.can_cast(slope, np.float32, casting="safe")
):
logging.info("Casting to float32")
vol_data = np.array(vol_data, dtype=np.float32)
intercept = np.float32(intercept)
slope = np.float32(slope)
elif np.can_cast(vol_data, np.float64, casting='safe') and np.can_cast(intercept, np.float64, casting='safe') and np.can_cast(slope, np.float64, casting='safe'):
logging.info(f"Casting to float64")
elif (
np.can_cast(vol_data, np.float64, casting="safe")
and np.can_cast(intercept, np.float64, casting="safe")
and np.can_cast(slope, np.float64, casting="safe")
):
logging.info("Casting to float64")
vol_data = np.array(vol_data, dtype=np.float64)
intercept = np.float64(intercept)
slope = np.float64(slope)

if slope != 1:
vol_data = slope * vol_data

Expand Down