MRIcron

MRIcron visualizes and analyzes neuroimaging data in NIfTI format to support lesion mapping and voxel-based lesion–symptom analysis.


Key Features:

  • Image Viewing and Layering: Loads and overlays multiple NIfTI image layers for comparative inspection of brain anatomy.
  • Volume Rendering: Provides volume rendering for three-dimensional visualization of anatomical regions.
  • Volume of Interest (VOI) Drawing: Enables drawing and analysis of VOIs/lesions within MRI images for targeted delineation.
  • DICOM to NIfTI Conversion (dcm2nii): Includes dcm2nii functionality to convert DICOM images to NIfTI format.
  • Statistical Analysis with NPM (Nonparametric Mapping): Integrates the NPM toolbox for voxel-based lesion–symptom analysis and nonparametric statistical testing.
  • Mapping to MNI Space: Supports manual mapping and overlay of individual lesions onto the Montreal Neurological Institute (MNI) template.
  • Visualization of Statistical Results: Visualizes statistical maps and test results (e.g., Liebermeister test) on the MNI template.

Scientific Applications:

  • Voxel-based lesion–symptom mapping: Correlates lesion locations with clinical deficits using voxel-wise nonparametric statistics.
  • Lesion mapping in clinical studies: Has been used to map lesions onto MNI space to identify associations between lateral medullary infarction (LMI) and urinary retention/micturition dysfunction.

Methodology:

DICOM-to-NIfTI conversion via dcm2nii; loading and layering of NIfTI volumes; volume rendering; manual VOI/lesion delineation; manual mapping of lesions to the MNI template; integration with NPM for voxel-based lesion–symptom analysis and statistical testing (e.g., Liebermeister test); visualization of results on the MNI template.

Topics

Details

Tool Type:
desktop application
Added:
1/9/2020
Last Updated:
12/29/2020

Operations

Publications

Prabhakar AT, Iqbal Ahmed AS, Vijayakrishnan Nair A, Mathew V, Aaron S, Sivadasan A, Alexander M. Neural Correlates of Urinary Retention in Lateral Medullary Infarction. International Neurourology Journal. 2019;23(3):205-210. doi:10.5213/inj.1836256.128. PMID:31607099. PMCID:PMC6790816.