Quantitative analysis and comparison of diffusion tensor imaging tractography algorithms

Abstract

This paper describes a platform developed for analysis of diffusion tensor image data using different tractography algorithms. The platform allows these algorithms to be compared both quantitatively and qualitatively. Two specific tractography algorithms were compared, STT (streamlines tracking technique) and TEND (tensor-deflection algorithm). The platform was assessed on a publicly available DTI dataset to analyse and quantify the performance of these tractography algorithms. Based on specific tests using this platform, results indicate that the STT algorithm is better at dealing with fibres containing curves and TEND is more appropriate for straighter fibres. A methodology is also proposed to help differentiate between nerve fibres that meet or cross