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VolumeSimilarityResult

Other

Results from volume similarity statistics computation.

Import​

import ScriptingApi as api

# Access the class
# VolumeSimilarityResult is available via api.VolumeSimilarityResult

Properties​

source_volume_name​

Name of the source volume object.

Type: str

target_volume_name​

Name of the target volume object.

Type: str

cross_correlation​

Cross correlation (CC) value.

Type: float

local_normalized_cross_correlation​

Local normalized cross correlation (LNCC) value.

Type: float

correlation_ratio_xy​

Correlation ratio (XY) value.

Type: float

correlation_ratio_yx​

Correlation ratio (YX) value.

Type: float

mutual_information​

Mutual information (MI) value.

Type: float

normalized_mutual_information​

Normalized mutual information (NMI) value.

Type: float

kappa_statistic​

Kappa statistic (K) value.

Type: float

cosine_of_normalized_gradient_field​

Cosine of normalized gradient field value.

Type: float

joint_entropy​

Joint entropy (JE) value.

Type: float

sum_of_squared_intensity_differences​

Sum of squared intensity differences (SSID) value.

Type: float

mean_squared_error​

Mean squared error (MSE) value.

Type: float

sum_of_absolute_differences​

Sum of absolute differences (SAD) value.

Type: float

sum_of_squared_differences​

Sum of squared differences (SSD) value.

Type: float

covariance​

Covariance value.

Type: float

peak_signal_to_noise_ratio​

Peak signal-to-noise ratio (PSNR) value.

Type: float

label_consistency​

Label consistency (LC) value.

Type: float

See Also​