Interpolating Multi-Fiber Models by Gaussian Mixture Simplification
(2012) IEEE International Symposium on Biomedical Imaging - ISBI 2012 — Location: Barcelona, Spain
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- Abstract
- Multi-fiber models have been introduced to leverage the accuracy of the diffusion representation in crossing fiber areas. The improved accuracy may, however, be impaired by poor processing of the multi-fiber models. In particular, interpolating multi-fiber models proves challenging, while it is a pervasive and recurrent task in many processes. The error accumulated from iterating a poor interpolation may yield significantly corrupted global results. In this paper, we propose an interpolation scheme based on gaussian mixture simplification and demonstrate its benefits over a heuristic approach in terms of spatial normalization and tractography results.
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Citations
Taquet, M., Scherrer, B., Benjamin, C., Prabhu, S., Macq, B., & Warfield, S. (2012). Interpolating Multi-Fiber Models by Gaussian Mixture Simplification. Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, p. 928 - 931. https://doi.org/10.1109/ISBI.2012.6235708