Automatic three-dimensional reconstruction of fascicles in peripheral nerves from histological images.

ABSTRACT: Computational studies can be used to support the development of peripheral nerve interfaces, but currently use simplified models of nerve anatomy, which may impact the applicability of simulation results. To better quantify and model neural anatomy across the population, we have developed an algorithm to automatically reconstruct accurate peripheral nerve models from histological cross-sections. We acquired serial median nerve cross-sections from human cadaveric samples, staining one set with hematoxylin and eosin (H&E) and the other using immunohistochemistry (IHC) with anti-neurofilament antibody. We developed a four-step processing pipeline involving registration, fascicle detection, segmentation, and reconstruction. We compared the output of each step to manual ground truths, and addit

SUBMITTER: Tovbis D 

PROVIDER: S-EPMC7224505 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature