Comparison of In Vivo and Ex Vivo MRI of the Human Hippocampal Formation in the Same Subjects. (24th September 2016)

• Record Type: Journal Article
• Authors: Wisse, L E M; Adler, D H; Ittyerah, R; Pluta, J B; Robinson, J L; Schuck, T; Trojanowski, J Q; Grossman, M; Detre, J A; Elliott, M A; Toledo, J B; Liu, W; Pickup, S; Das, S R; Wolk, D A; Yushkevich, P A
• Is Part Of: Cerebral cortex. Volume 27:Number 11(2017)
• Page Start: 5185
• Page End: 5196
• Publication Date: 2016-09-24
• Subjects: hippocampus -- in vivo -- MRI -- postmortem -- subfields; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhw299
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: Multiple techniques for quantification of hippocampal subfields from in vivo MRI have been proposed. Linking in vivo MRI to the underlying histology can help validate and improve these techniques. High-resolution ex vivo MRI can provide an intermediate modality to map information between these very different imaging modalities. This article evaluates the ability to match information between in vivo and ex vivo MRI in the same subjects. We perform rigid and deformable registration on 10 pairs of in vivo (3 T, 0.4 × 0.4 × 2.6 mm 3 ) and ex vivo (9.4 T, 0.2 × 0.2 × 0.2 mm 3 ) scans, and describe differences in MRI appearance between these modalities qualitatively and quantitatively. The feasibility of using this dataset to validate in vivo segmentation is evaluated by applying an automatic hippocampal subfield segmentation technique (ASHS) to in vivo scans and comparing SRLM (stratum/radiatum/lacunosum/moleculare) surface to manual tracing on corresponding ex vivo scans (and in 2 cases, histology). Regional increases in thickness are detected in ex vivo scans adjacent to the ventricles and were not related to scanner, resolution differences, or susceptibility artefacts. Satisfactory in vivo/ex vivo registration and subvoxel accuracy of ASHS segmentation of hippocampal SRLM demonstrate the feasibility of using this dataset for validation, and potentially, improvement of in vivo segmentation methods.