Пример #1
0
def get_brain_mask():
    brain_mask_path = dp.get_brain_mask_path()
    if not exists(brain_mask_path):
        data = np.load(dp.get_concatenated_path(1))
        mean_vol = np.mean(data, axis=-1)
        in_brain_mask = mean_vol > 150
        np.save(brain_mask_path, in_brain_mask)
    return np.load(brain_mask_path)
Пример #2
0
def get_brain_mask():
    """
    Retrieves the path to the brain mask and loads that data

    Parameters
    ----------
    None

    Returns
    -------
    brain_mask : array
    """
    brain_mask_path = dp.get_brain_mask_path()
    if not exists(brain_mask_path):
        data = np.load(dp.get_concatenated_path(1))
        mean_vol = np.mean(data, axis=-1)
        in_brain_mask = mean_vol > 150
        np.save(brain_mask_path, in_brain_mask)
    return np.load(brain_mask_path)