Process & Analysis of MRI data: 3D Slicer: A Versatile Toolkit for Personalized MRI Analysis
Motivation: This presentation demonstrates the capabilities of 3D Slicer, an open-source tool for MRI analysis and visualization. Goal(s): Our goal is to demonstrate its utility in brain mapping, segmentation, and AI-assisted diagnostics. Approach: Using modules for segmentation, diffusion MRI, and AI-enhanced tools, we showcase 3DSlicer application in surgical planning and image-based research. Results: Results demonstrate integration of research pipelines and tasks using integrated modules. Over 150 extensions enhance the functionality of 3DSlicer to specific tasks. Impact: 3D Slicer's versatility supports research innovation in MRI analysis, facilitating advances in imaging-based biomarkers and new approaches to surgical planning and diagnostics.
Authors
- Zora Kikinis (ORCID: https://orcid.org/0000-0002-7203-1362)
- Ron Kikinis
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0941
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00