Segmentation and registration of within‐subject 7 tesla ex vivo and 3 tesla in situ MRI to increase sensitivity of imaging biomarkers

Our proposed pipeline (purple-mri) accurately segments high-resolution exvivo MRI and performs registration to give one-to-one correspondence between multi-modal postmortem MRI. The developed pipeline sets the stage for exvivo to invivo registrations, which would enable stronger association studies between morphometry and histopathological examination.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70862_110222
Primary Topic
Medical Image Segmentation Techniques
Type
article
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article

Segmentation and registration of within‐subject 7 tesla ex vivo and 3 tesla in situ MRI to increase sensitivity of imaging biomarkers

Pulkit Khandelwal, Sydney Lim, Wilma DJ van de Berg, Laura Jonkman et al.
Alzheimer s & Dementia
Medical Image Segmentation Techniques
article

Segmentation and registration of within‐subject 7 tesla ex vivo and 3 tesla in situ MRI to increase sensitivity of imaging biomarkers

Pulkit Khandelwal, Sydney Lim, Wilma DJ van de Berg, Laura Jonkman, Paul A. Yushkevich, Louise van der Weerd
article en

Abstract

Our proposed pipeline (purple-mri) accurately segments high-resolution exvivo MRI and performs registration to give one-to-one correspondence between multi-modal postmortem MRI. The developed pipeline sets the stage for exvivo to invivo registrations, which would enable stronger association studies between morphometry and histopathological examination.

Alzheimer s & DementiaVol. 21(S8)
Leiden University (NL), Netherlands Institute for Neuroscience (NL), University of Applied Sciences Leiden (NL), Amsterdam Neuroscience (NL), University of Pennsylvania (US)
Openalex Percentile: Top 37%
Medical Image Segmentation Techniques
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