A high-performance deep-learning-based pipeline for whole-brain vasculature segmentation at the capillary resolution.

ABSTRACT:

Motivation

Reconstructing and analyzing all blood vessels throughout the brain is significant for understanding brain function, revealing the mechanisms of brain disease, and mapping the whole-brain vascular atlas. Vessel segmentation is a fundamental step in reconstruction and analysis. The whole-brain optical microscopic imaging method enables the acquisition of whole-brain vessel images at the capillary resolution. Due to the massive amount of data and the complex vascular features generated by high-resolution whole-brain imaging, achieving rapid and accurate segmentation of whole-brain vasculature becomes a challenge.

Results

We introduce HP-VSP, a high-performance vessel segmentation pipeline based on deep learning. The pipeline consists of three processes: data blockin

SUBMITTER: Li Y 

PROVIDER: S-EPMC10068744 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature