RieszLoG#

class zrad.filtering.spatial.RieszLoG(padding_type, sigma_mm, cutoff, dimensionality, riesz_order, structure_tensor_sigma_mm=None)[source]#

Laplacian-of-Gaussian followed by a normalized Riesz transform.

This is a composition of the spatial LoG filter and the Fourier-domain Riesz operator. A second-order response can optionally be steered along the local structure-tensor direction.

Parameters:

  • padding_type ({"constant", "nearest", "wrap", "reflect"}) – Boundary handling mode used by the LoG and Riesz operations.

  • sigma_mm (float) – Gaussian standard deviation of the LoG filter in millimetres.

  • cutoff (float) – LoG kernel truncation radius in standard deviations.

  • dimensionality ({"2D", "3D"}) – Apply the composed filter slice-wise in 2D or volumetrically in 3D.

  • riesz_order (tuple of int) – Non-negative Riesz multi-index in physical (x, y) or (x, y, z) axis order. Its length must match dimensionality and its total order must be positive.

  • structure_tensor_sigma_mm (float, optional) – Gaussian scale in millimetres used to estimate the local structure tensor and steer the response. This is supported only for pure second-order 3D indices such as (2, 0, 0). If omitted, the Riesz response is evaluated along the fixed image axes.

Methods

apply(image)

Apply the filter to an image or set RoiData.filtered_image.

get_params()

Return filter parameters mapped to their configured values.
RieszLoG.apply(image)#

Apply the filter to an image or set RoiData.filtered_image.

Parameters:

image (Image or RoiData) – Input image to filter. If RoiData is supplied, filtering is applied to image.image and the result is stored as filtered_image in the returned ROI data. Existing intensity, texture, and IVH prepared fields are cleared.

Returns:

filtered – Filtered image, or ROI data with filtered_image updated.

Return type:

Image or RoiData

RieszLoG.get_params()#

Return filter parameters mapped to their configured values.

Returns:

params – Constructor parameters stored by the filter instance.

Return type:

dict