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Statistical features

The StatisticalFeatures class provides a convenient way to compute several common statistical metrics from a given array of data.

Overview

This class utilizes NumPy for efficient numerical operations and SciPy for computing first-order statistical features. By encapsulating these features in a class, users can easily compute various statistical properties of a dataset with minimal boilerplate code.

The following statistical features are available:

  • Maximum intensity: The highest value in the MRI.
  • Minimum intensity: The lowest value in the MRI.
  • Mean intensity: The average value of the MRI.
  • Median intensity: The middle value of the MRI when sorted.
  • Standard deviation intensity: A measure of the amount of variation or dispersion of the values.
  • Range intensity: The difference between the maximum and minimum values.
  • Skewness: A measure of the asymmetry of the distribution of pixel values.
  • Kurtosis: A measure of the "tailedness" of the intensity distribution.

Methods

__init__

Constructs all the necessary attributes for the StatisticalFeatures object.

Parameters

  • sequence (np.ndarray): A 3D NumPy array representing the MRI sequence from which statistical features are to be computed.

get_max_intensity

Computes the maximum intensity value in the sequence.

Returns

  • float: The maximum intensity value in the sequence.

get_min_intensity

Computes the minimum intensity value in the sequence.

Returns

  • float: The minimum intensity value in the sequence.

get_mean_intensity

Computes the mean intensity value in the sequence.

Returns

  • float: The mean intensity value in the sequence.

get_median_intensity

Computes the median intensity value in the sequence.

Returns

  • float: The median intensity value in the sequence.

get_percentile_n

Computes the n-th percentile of the intensity values in the sequence.

Parameters

  • n (float): The percentile value to compute (e.g., 10 or 90).

Returns

  • float: The computed n-th percentile intensity.

get_std_intensity

Computes the standard deviation of intensity values in the sequence.

Returns

  • float: The standard deviation of intensity values.

get_range_intensity

Computes the range of intensity values in the sequence (max - min).

Returns

  • float: The range of intensity values in the sequence.

get_skewness

Computes the skewness of the intensity values in the sequence.

Returns

  • float: The skewness of the intensity distribution.

get_kurtosis

Computes the kurtosis of the intensity values in the sequence.

Returns

  • float: The kurtosis of the intensity distribution.

extract_features

Computes and returns all statistical metrics as a dictionary.

Returns

A dictionary containing the following statistical metrics:

  • max_intensity: Maximum intensity value in the MRI.
  • min_intensity: Minimum intensity value in the MRI.
  • mean_intensity: Mean intensity value in the MRI.
  • median_intensity: Median intensity value in the MRI.
  • 10th_percentile_intensity: 10th percentile intensity.
  • 90th_percentile_intensity: 90th percentile intensity.
  • std_intensity: Standard deviation of intensity values.
  • range_intensity: Range of intensity values.
  • skewness: Skewness of the intensity values.
  • kurtosis: Kurtosis of the intensity values.