Volumetric Histology via High-Fidelity Coregistration with MRI
Motivation: Corroborating findings in 3D from ex-vivo MRI with densely-sampled histology is essential to biomarker development, but challenging due to nonlinear 3D deformations. Goal(s): Reconstructing volumetric histology by accurately aligning densely-sampled histological images with post-mortem MRI data to enhance validation of 3D pathological findings. Approach: We built and optimized a novel pipeline integrating advanced imaging with precise registration algorithms to link high-resolution MRI via blockface imaging to volumetric 3D histology aligned. Results: Our optimized blockface volumes contain minimal artifacts and were precisely aligned with MRI, facilitating the coregistration of multi-slice histology, and demonstrating accurate correspondences between MRI and histology slides in 3D. Impact: This study introduces an advanced correlative MRI-histology pipeline to reconstruct volumetric histology, promising to enhance our understanding of neurodegenerative diseases and contribute to the evolution of MRI-based disease biomarkers.
Authors
- Michael Zeineh (ORCID: https://orcid.org/0000-0002-6940-9096)
- Inma Cobos (ORCID: https://orcid.org/0000-0002-2043-1890)
- Marios Georgiadis (ORCID: https://orcid.org/0000-0003-0733-4559)
- Lingzhi Tao (ORCID: https://orcid.org/0000-0001-8560-6228)
- Jeffrey Nirschl (ORCID: https://orcid.org/0000-0001-6857-341X)
- Markus Axer (ORCID: https://orcid.org/0000-0001-5871-9331)
- Wei Shao (ORCID: https://orcid.org/0000-0003-1763-9911)
- Nhu Nguyen (ORCID: https://orcid.org/0009-0006-2920-1633)
- Mirabela Rusu (ORCID: https://orcid.org/0000-0002-0372-0367)
- David B. Camarillo (ORCID: https://orcid.org/0000-0003-4965-2977)
- István N. Huszár
- Phillip DiGiacomo (ORCID: https://orcid.org/0000-0002-2441-4086)
- Philipp Schlömer
- Hossein Moein Taghavi (ORCID: https://orcid.org/0000-0002-8585-1634)
- Yixin Wang (ORCID: https://orcid.org/0000-0003-4324-2408)
- William Ho
- Samantha Leventis
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/10.58530/2025/0189
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00