inv_resolution_matrix.h File Reference

Resolution-matrix analysis for linear inverse operators — point-spread and cross-talk functions. More...

#include "inv_global.h"
#include <Eigen/Core>
#include <QList>

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Classes
class	INVLIB::InvResolutionMatrix
	Resolution matrix analysis for linear inverse operators. More...

Namespaces
namespace	INVLIB
	Inverse source estimation (MNE, dSPM, sLORETA, dipole fitting).

Detailed Description

Resolution-matrix analysis for linear inverse operators — point-spread and cross-talk functions.

SPDX-License-Identifier: BSD-3-Clause Copyright (c) 2026 MNE-CPP Authors

Author

Christoph Dinh chris.nosp@m.toph.nosp@m..dinh.nosp@m.@mne.nosp@m.-cpp..nosp@m.org

Since

2.2.1

Date

May 2026

INVLIB::InvResolutionMatrix computes \( \mathbf{R} = \mathbf{K}\,\mathbf{L} \) from an inverse kernel K and a leadfield L, then exposes the column-wise point-spread functions (PSF), row-wise cross-talk functions (CTF), spatial-spread and peak-localisation-error metrics that characterise the spatial resolution of an inverse operator. The class follows the methodology of Hauk et al. (NeuroImage 2011) — used in mne-python's mne.minimum_norm.resolution_matrix module — so that resolution diagnostics produced by mne-cpp are directly comparable to the upstream Python results.

Definition in file inv_resolution_matrix.h.