A method for discontinuous neurite reconstruction based on diffusion tensor, Hessian eigenvector, and diffused gradient vector fields

An a posteriori tracing method for broken neurite reconstruction is proposed. It uses local line structure cues from three vector fields; diffusion tensor vector field, Hessian eigenvector field, and diffused gradient vector field. The vector fields are built to give directionalities of line structures with gaps in different configurations. The method uses an iterative search and extend approach to reconstruct possible links between broken neurite segments which for various reasons existing tracing methods fail to extract. Iterative nature of the method enables us to extend traced neurites in directions aligned with underlying line structures. Subsequently, the method connects traced neurites across gaps in presence of other traced neurite segments or disposes extensions otherwise.