Abstract
In this paper we propose a novel technique for the analysis of diffusion tensor magnetic resonance images. This method involves solving the full diffusion equation over a finite element mesh derived from the MR data. It calculates connection probabilities between points of interest, which can be compared within or between subjects. Unlike traditional tractography, we use all the data in the diffusion tensor at each voxel which is likely to increase robustness and make intersubject comparisons easier.
Acknowledgements
We would like to thank Laura Johnson, Donald Tournier, Dr A. Connelly and J. Schnabel, Prof. D. Hawkes, and the EPSRC (Gr/N04867) for funding.
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Batchelor, P.G., Hill, D.L., Atkinson, D., Calamante, F. (2001). Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI. In: Insana, M.F., Leahy, R.M. (eds) Information Processing in Medical Imaging. IPMI 2001. Lecture Notes in Computer Science, vol 2082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45729-1_10
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