SlicerDMRI

SlicerDMRI provides analysis and visualization of diffusion magnetic resonance imaging (dMRI) data to map white-matter connections and support clinical research such as neurosurgical planning and brain tumor microstructure assessment.

Key Features:

• Diffusion MRI analysis and visualization: Performs computational analysis and three-dimensional visualization of dMRI datasets.
• Conventional diffusion tensor analysis: Implements conventional diffusion tensor analysis.
• Advanced multifiber tractography: Supports advanced multifiber tractography.
• Automated critical fiber tract identification: Provides automated identification of critical fiber tracts.
• Multimodal image fusion: Integrates multimodal imagery with dMRI.
• Intraoperative imaging integration: Supports integration with intraoperative imaging modalities.
• Neuronavigation integration: Integrates in real time with neuronavigation equipment.
• Patient-specific white-matter mapping: Generates patient-specific maps of critical brain connections for neurosurgical research.
• Tissue microstructure analysis: Facilitates analysis of tissue microstructure surrounding brain tumors.
• Application to glioma datasets: Has been applied to retrospective imaging datasets from patients with high-grade glioma.
• 3D Slicer platform integration: Operates as an extension of the 3D Slicer platform for medical image informatics and visualization.

Scientific Applications:

• Neurosurgical research and planning: Supports brain mapping to inform neurosurgical decision making and planning.
• Patient-specific connectivity mapping: Produces individualized maps of white-matter connections for clinical research.
• Brain tumor surgery support: Provides dMRI-derived information relevant to planning and execution of brain tumor resections.
• Tissue microstructure assessment: Enables investigation of tissue microstructure surrounding brain tumors.
• Retrospective glioma studies: Enables analysis of retrospective high-grade glioma imaging datasets.

Methodology:

Performs conventional diffusion tensor analysis, advanced multifiber tractography, automated identification of critical fiber tracts, and multimodal image integration with dMRI.