laplace_enhance

This function applies a multi-layer Laplacian enhancement filter to a volumetric image (3D brain MRI data).
The filter enhances details while preserving edges using a non-local means approach with multiple scales.

A collection of data structures and methods for handling volumetric
brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient
representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array
implementations, memory-mapped file access for large datasets, and
spatial transformation capabilities. Implements methods for image resampling,
spatial filtering, region of interest analysis, and connected component labeling. General introduction
to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis",
<ISBN:9781108795760>).

Bradley Buchsbaum

neuroim2

Data Structures for Brain Imaging Data

laplace_enhance function

<dl><dt>vol</dt>
<dd>A <code>NeuroVol</code> object representing the image volume to be enhanced.</dd>
<dt>mask</dt>
<dd>A <code>LogicalNeuroVol</code> object specifying the region to process. If not provided,
the entire volume will be processed.</dd>
<dt>k</dt>
<dd>An integer specifying the number of layers in the decomposition (default is 2).</dd>
<dt>patch_size</dt>
<dd>An integer specifying the size of patches for non-local means. Must be odd (default is 3).</dd>
<dt>search_radius</dt>
<dd>An integer specifying the radius of the search window (default is 2).</dd>
<dt>h</dt>
<dd>A numeric value controlling the filtering strength. Higher values mean more smoothing (default is 0.7).</dd>
<dt>mapping_params</dt>
<dd>An optional list of parameters for the enhancement mappings.</dd>
<dt>use_normalization_free</dt>
<dd>Logical indicating whether to use normalization-free weights (default is TRUE).</dd></dl>

Arguments

Laplacian Enhancement Filter for Volumetric Images — laplace_enhance

<dl>

<dt>vol</dt>
<dd>A <code>NeuroVol</code> object representing the image volume to be enhanced.</dd>


<dt>mask</dt>
<dd>A <code>LogicalNeuroVol</code> object specifying the region to process. If not provided,
the entire volume will be processed.</dd>


<dt>k</dt>
<dd>An integer specifying the number of layers in the decomposition (default is 2).</dd>


<dt>patch_size</dt>
<dd>An integer specifying the size of patches for non-local means. Must be odd (default is 3).</dd>


<dt>search_radius</dt>
<dd>An integer specifying the radius of the search window (default is 2).</dd>


<dt>h</dt>
<dd>A numeric value controlling the filtering strength. Higher values mean more smoothing (default is 0.7).</dd>


<dt>mapping_params</dt>
<dd>An optional list of parameters for the enhancement mappings.</dd>


<dt>use_normalization_free</dt>
<dd>Logical indicating whether to use normalization-free weights (default is TRUE).</dd>

</dl>

laplace_enhance: Laplacian Enhancement Filter for Volumetric Images

Description

Usage

Value

Arguments