N. Ratnarajah, A. Simmons, O. Davydov and A. Hojjat, A novel white matter fibre tracking algorithm using probabilistic tractography and average curves, in  "Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2010," (T. Jiang, N. Navab, J. P. W. Pluim and M. A. Viergever, Eds.), pp. 666-673, LNCS 6361, Springer-Verlag, 2010. doi:10.1007/978-3-642-15705-9_81

Abstract: This paper presents a novel white matter fibre tractography approach using average curves of probabilistic fibre tracking measures. We compute "representative" curves from the original probabilistic curve-set using two different averaging methods. These typical curves overcome a number of the limitations of deterministic and probabilistic approaches. They produce strong connections to every anatomically distinct fibre tract from a seed point and also convey important information about the underlying probability distribution. A new clustering algorithm is employed to separate fibres into branches before applying averaging methods. The performance of the technique is verified on a wide range of seed points using a phantom dataset and an in vivo dataset.