purple-mri ========== purple-mri (Penn Utilities for Registration and Parcellation of Ex Vivo MRI) is a computational framework for segmentation, registration, surface reconstruction, and atlas-based parcellation of ultra–high-resolution postmortem human brain MRI. The toolkit is designed for ex vivo whole-hemisphere MRI acquired at submillimeter resolution (often <300µm) at ultra-high field strengths (e.g., 7T), where conventional in vivo pipelines fail due to fixation-driven contrast shifts, specimen-specific geometry, and extreme spatial resolution. purple-mri integrates deep learning–based voxel segmentation with classical surface-based modeling to produce topology-stable cortical reconstructions and native-space atlas parcellations suitable for vertex-wise and group-level morphometric analysis. .. image:: _static/animation.gif :width: 900px :align: center Introductory Video ------------------ .. raw:: html
Core Capabilities ----------------- purple-mri enables: * Automated multi-label tissue segmentation of postmortem MRI * Topology-aware cortical ribbon refinement * Native-space surface reconstruction * Surface-based parcellation using established atlases (e.g., DKT, Schaefer, Glasser, von Economo–Koskinas) * Ex vivo ↔ in vivo volumetric registration using classical optimization methods and modern deep learning-based ones * Intensity-based population-specific volumetric template construction * Vertex-wise statistical modeling (e.g., GLM analyses in template space) allowing the integration of morphometric measures with external biological variables .. image:: _static/purple_flowchart_UPDATED.png :width: 900px :align: center Scientific Context ------------------ We have applied our tools across a spectrum of ultra-high-resolution multi-modal ex vivo MRI spanning from developmental disorders (Sudden Infant Death Syndrome) in infants to neurodegenerative diseases (Alzheimer’s disease and related dementias) in adults. Our toolkit purple-mri has enabled systematic analysis of ultra-high-resolution postmortem MRI linking pathology to in vivo MRI via ex vivo MRI to allow discovery of region-specific morphometry–pathology signatures that can inform the development of disease-specific in vivo biomarkers. .. toctree:: :maxdepth: 1 :caption: Getting Started overview installation .. toctree:: :maxdepth: 1 :caption: Workflows segmentation posthoc_correction parcellation registration template_construction group_analysis .. toctree:: :maxdepth: 1 :caption: Reference citations .. raw:: html
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