Volumetric MR, Blockface Imaging, and Histology Deliver High Fidelity Coregistered MR-Histology

Motivation: Validating pathological findings from ultra-high-resolution ex-vivo MRI through histology is significant but challenging due to nonlinear 3D deformations between MRI and histological samples. Goal(s): Addressing the challenge of accurately quantifying complex neurodegenerative diseases by improving the alignment of post-mortem MRI data with histological images. Approach: We built a novel pipeline integrating advanced imaging techniques with innovative registration algorithms, linking high-resolution MRI with blockface imaging and histological sections. Results: Our methodology successfully generated blockface volumes with minimal distortion and artifacts, accomplished precise alignment between MRI and blockface volumes, and achieved an accurate 2D correspondence between MRI and histology slides. Impact: This study introduces an advanced correlative MRI-histology pipeline with robust 2D and 3D coregistration methods, promising to enhance our understanding of neurodegenerative diseases and contribute to the evolution of MRI-based biomarkers for the disease.

Authors

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
2024-11-26
DOI
https://doi.org/10.58530/2024/0967
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
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article

Volumetric MR, Blockface Imaging, and Histology Deliver High Fidelity Coregistered MR-Histology

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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
MRI in cancer diagnosis
article

Volumetric MR, Blockface Imaging, and Histology Deliver High Fidelity Coregistered MR-Histology

Michael Zeineh, Marios Georgiadis, Jeffrey Nirschl, Markus Axer, Wei Shao, Mirabela Rusu, István N. Huszár, Phillip DiGiacomo, Hossein Moein Taghavi, Yixin Wang, William Ho, Samantha Leventis, Philip Schlömer
article en

Abstract

Motivation: Validating pathological findings from ultra-high-resolution ex-vivo MRI through histology is significant but challenging due to nonlinear 3D deformations between MRI and histological samples. Goal(s): Addressing the challenge of accurately quantifying complex neurodegenerative diseases by improving the alignment of post-mortem MRI data with histological images. Approach: We built a novel pipeline integrating advanced imaging techniques with innovative registration algorithms, linking high-resolution MRI with blockface imaging and histological sections. Results: Our methodology successfully generated blockface volumes with minimal distortion and artifacts, accomplished precise alignment between MRI and blockface volumes, and achieved an accurate 2D correspondence between MRI and histology slides. Impact: This study introduces an advanced correlative MRI-histology pipeline with robust 2D and 3D coregistration methods, promising to enhance our understanding of neurodegenerative diseases and contribute to the evolution of MRI-based biomarkers for the disease.

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
Openalex Percentile: Top 64%
MRI in cancer diagnosis
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