safe_load_tac#

petpal.utils.time_activity_curve.safe_load_tac(filename: str, with_uncertainty: bool = False, **kwargs) → numpy.ndarray#

Loads time-activity curves (TAC) from a file.

Tries to read a TAC from specified file and raises an exception if unable to do so. We assume that the file has two columns, the first corresponding to time and second corresponding to activity.

Parameters:

  • filename (str) – The name of the file to be loaded.

  • with_uncertainty (bool) – Load uncertainty of measured activity along with timing and activity.

  • **kwargs (dict) – keyword arguments to pass to np.loadtxt().

Returns:

np.ndarray –

A numpy array containing the loaded TAC. The first index corresponds to the

times, and the second corresponds to the activity. If with_uncertainty is True, the third index corresponds to the uncertainty.

Raises:

Exception – An error occurred loading the TAC.

Example

import numpy as np
from petpal.utils.time_activity_curve import safe_load_tac, safe_write_tac

my_tac = safe_load_tac(filename='/path/to/tac.tsv')
my_tac_modified = np.zeros_like(my_tac)
my_tac_modified[0] = my_tac[0] / 60 # convert time units to hours
my_tac_modified[1] = my_tac[1] / 37000 # convert activity units to mCi
my_tac_modified[2] = my_tac[2] / 37000 # convert uncertainties like activity
safe_write_tac(filename='/path/to/new_tac.tsv',
               tac_data=my_tac_modified)
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