Neuron anatomy structure reconstruction based on a sliding filter.

ABSTRACT:

Background

Reconstruction of neuron anatomy structure is a challenging and important task in neuroscience. However, few algorithms can automatically reconstruct the full structure well without manual assistance, making it essential to develop new methods for this task.

Methods

This paper introduces a new pipeline for reconstructing neuron anatomy structure from 3-D microscopy image stacks. This pipeline is initialized with a set of seeds that were detected by our proposed Sliding Volume Filter (SVF), given a non-circular cross-section of a neuron cell. Then, an improved open curve snake model combined with a SVF external force is applied to trace the full skeleton of the neuron cell. A radius estimation method based on a 2D sliding band filter is developed to fit the real ed

SUBMITTER: Luo G 

PROVIDER: S-EPMC4619512 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature