Abstract
Shortest-path tractography (SPT) algorithms solve global optimization problems defined from local distance functions. As diffusion MRI data is inherently noisy, so are the voxelwise tensors from which local distances are derived. We extend Riemannian SPT by modeling the stochasticity of the diffusion tensor as a “random Riemannian metric”, where a geodesic is a distribution over tracts. We approximate this distribution with a Gaussian process and present a probabilistic numerics algorithm for computing the geodesic distribution. We demonstrate SPT improvements on data from the Human Connectome Project.
Originalsprog | Engelsk |
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Titel | Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 : 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I |
Antal sider | 8 |
Forlag | Springer |
Publikationsdato | 2015 |
Sider | 597-604 |
ISBN (Trykt) | 978-3-319-24552-2 |
ISBN (Elektronisk) | 978-3-319-24553-9 |
DOI | |
Status | Udgivet - 2015 |
Begivenhed | International Conference on Medical Image Computing and Computer Assisted Intervention 2015 - Munich, Tyskland Varighed: 5 okt. 2015 → 9 okt. 2015 Konferencens nummer: 18 |
Konference
Konference | International Conference on Medical Image Computing and Computer Assisted Intervention 2015 |
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Nummer | 18 |
Land/Område | Tyskland |
By | Munich |
Periode | 05/10/2015 → 09/10/2015 |
Navn | Lecture notes in computer science |
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Vol/bind | 9349 |
ISSN | 0302-9743 |