Abstract
Diffusion weighted magnetic resonance imaging is widely used in the study of the structure of the fiber pathways in brain white matter. In this work we present a new method for denoising intra–voxel axon fiber tracks. In order to improve local (voxelwise) estimations, we use the general–purpose segmentation method called Entropy–Controlled Quadratic Markov Measure Field Models. Our proposal is capable of spatially–regularize multiple axon fiber orientations (intra-voxel orientations). In order to provide the best as possible local axon orientations to our spatial regularization procedure, we evaluate two optimization methods for fitting a Diffusion Basis Function model. We present qualitative results on real human Diffusion Weighted MRI data where the ground–truth is not available, and we quantitatively validate our results by synthetic experiments.
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Ramirez-Manzanares, A., Rivera, M., Gee, J.C. (2009). Denoising Intra-voxel Axon Fiber Orientations by Means of ECQMMF Method. In: Aguirre, A.H., Borja, R.M., Garciá, C.A.R. (eds) MICAI 2009: Advances in Artificial Intelligence. MICAI 2009. Lecture Notes in Computer Science(), vol 5845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05258-3_27
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DOI: https://doi.org/10.1007/978-3-642-05258-3_27
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