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[Preprint]. 2026 Apr 6:2026.04.02.715729. [Version 1] doi: 10.64898/2026.04.02.715729

Bridging the microstructural gap in human connectomics using hierarchical phase-contrast tomography as a reference for diffusion MRI in the human brain

Eric Wanjau, Matthieu Chourrout, Chiara Maffei, Yael Balbastre, Andrew Keenlyside, Joseph Brunet, Aikta Sharma, Susie Y Huang, Paul Tafforeau, Bruce Fischl, Anastasia Yendiki, Peter D Lee, Claire L Walsh
PMCID: PMC13081970  PMID: 41993538

Abstract

Diffusion MRI (dMRI) allows us to image the human connectome non-invasively, yet it provides indirect estimates of axonal orientations based on the diffusion of water molecules in millimeter-scale voxels, hence struggling to resolve complex micrometer-scale fiber geometries. Invasive methods for imaging axonal orientations ex vivo, e.g. histology, are destructive and limited to small volumes, creating a critical need for a non-destructive modality for imaging microscopic fiber orientations in 3D. Here, we use Hierarchical Phase-Contrast Tomography (HiP-CT) to characterize white matter architecture at the microscale. Applying structure-tensor analysis to HiP-CT data, we compute fiber Orientation Distribution Functions and perform tractography analogous to dMRI. Across multiple brain regions, HiP-CT derived fiber architecture shows strong correspondence with that derived from dMRI while revealing substantially greater microstructural complexity. Despite its label-free nature, we demonstrate that vascular structures minimally confound HiP-CT orientation estimates. These results establish HiP-CT as a reference microscopic modality that can complement dMRI in multi-scale studies of white-matter organization.

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