VolumeStatisticsResult
Results from volume statistics computation.
Import
import ScriptingApi as api
# Access the class
# VolumeStatisticsResult is available via api.VolumeStatisticsResult
Properties
volume_name
Name of the volume object analyzed.
Type: str
mask_name
Name of the mask object used for filtering (empty if whole volume).
Type: str
slice_description
Slice mode description.
Type: str
mean_intensity
Mean intensity value.
Type: float
median_intensity
Median intensity value.
Type: float
standard_deviation
Standard deviation of intensity values.
Type: float
voxel_count
Number of voxels analyzed.
Type: int
volume
Volume in cubic millimeters.
Type: float
volume_fraction
Volume fraction as percentage.
Type: float
min_intensity
Minimum intensity value.
Type: float
max_intensity
Maximum intensity value.
Type: float
min_intensity_index
Index of minimum intensity voxel [i, j, k].
Type: list
max_intensity_index
Index of maximum intensity voxel [i, j, k].
Type: list
variance
Variance of intensity values.
Type: float
rms
Root mean square of intensity values.
Type: float
skewness
Skewness of intensity distribution.
Type: float
kurtosis
Kurtosis of intensity distribution.
Type: float
uniformity
Uniformity of intensity distribution.
Type: float
entropy
Entropy of intensity distribution.
Type: float
mpp
Mean of positive pixels.
Type: float
upp
Uniformity of positive pixels.
Type: float
quantile5
5th percentile quantile value.
Type: float
quantile_25
25th percentile quantile value.
Type: float
quantile_50
50th percentile quantile value (median).
Type: float
quantile_75
75th percentile quantile value.
Type: float
quantile_95
95th percentile quantile value.
Type: float
histogram_bin_values
A list of histogram bin values (X-axis).
Type: list
histogram_frequencies
A list of histogram frequency values (Y-axis).
Type: list