generate_parametric_images_with_graphical_method#

petpal.kinetic_modeling.parametric_images.generate_parametric_images_with_graphical_method(pTAC_times: numpy.ndarray, pTAC_vals: numpy.ndarray, tTAC_img: numpy.ndarray, t_thresh_in_mins: float, method_name: str, **run_kwargs) → Tuple[numpy.ndarray, numpy.ndarray]#

Generates parametric images for 4D-PET data using a specified graphical analysis method.

This function maps one of the predefined method names to the corresponding analysis function, and then generates parametric images by applying it to the given 4D-PET data using the apply_linearized_analysis_to_all_voxels function.

Parameters:

  • pTAC_times (np.ndarray) – A 1D array representing the input TAC times in minutes.

  • pTAC_vals (np.ndarray) – A 1D array representing the input TAC values. This array should be of the same length as pTAC_times.

  • tTAC_img (np.ndarray) – A 4D array representing the 3D PET image over time. The shape of this array should be (x, y, z, time).

  • t_thresh_in_mins (float) – A float representing the threshold time in minutes.

  • method_name (str) – The analysis method’s name to apply. Must be one of: ‘patlak’, ‘logan’, ‘alt_logan’, or ‘logan_ref’.

  • run_kwargs – Keyword arguments with additional parameters for kinetic modeling. Currently only supports k2_prime.

Returns:

Tuple[np.ndarray, np.ndarray] –

A tuple of two 3D numpy arrays representing the calculated

slope image and the intercept image, each of the same spatial dimensions as tTAC_img.

Raises:

ValueError – If the method_name is not one of the following: ‘patlak’, ‘logan’, ‘alt_logan’, ‘logan_ref’.