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Abstract #0941

Process & Analysis of MRI data: 3D Slicer: A Versatile Toolkit for Personalized MRI Analysis

Zora Kikinis1 and Ron Kikinis2
1Psychiatry, Brigham and Women's Hospital, Boston, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Software Tools, Data Processing

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.

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Keywords