gauss_blur
=============================================

.. py:function:: petpal.preproc.image_operations_4d.gauss_blur(input_image_path: str, blur_size_mm: float, out_image_path: str, verbose: bool, use_fwhm: bool = True)

   Blur an image with a 3D Gaussian kernal of a provided size in mm. Extracts
   Gaussian sigma from provided blur size, and voxel sizes in the image
   header. :py:func:`scipy.ndimage.gaussian_filter` is used to apply blurring.
   Uses wrapper around :meth:`gauss_blur_computation`.

   :param input_image_path: Path to 3D or 4D input image to be blurred.
   :type input_image_path: str
   :param blur_size_mm: Sigma of the Gaussian kernal in mm.
   :type blur_size_mm: float
   :param out_image_path: Path to save the blurred output image.
   :type out_image_path: str
   :param verbose: Set to ``True`` to output processing information.
   :type verbose: bool
   :param use_FWHM: If ``True``, ``blur_size_mm`` is interpreted as the
                    FWHM of the Gaussian kernal, rather than the standard deviation.
   :type use_FWHM: bool

   :returns: *out_image (nibabel.nifti1.Nifti1Image)* -- Blurred image in nibabel format.