Literature DB >> 18051064

Hyperspherical von Mises-Fisher mixture (HvMF) modelling of high angular resolution diffusion MRI.

Abhir Bhalerao1, Carl-Fredrik Westin.   

Abstract

A mapping of unit vectors onto a 5D hypersphere is used to model and partition ODFs from HARDI data. This mapping has a number of useful and interesting properties and we make a link to interpretation of the second order spherical harmonic decompositions of HARDI data. The paper presents the working theory and experiments of using a von Mises-Fisher mixture model for directional samples. The MLE of the second moment of the HvMF pdf can also be related to fractional anisotropy. We perform error analysis of the estimation scheme in single and multi-fibre regions and then show how a penalised-likelihood model selection method can be employed to differentiate single and multiple fibre regions.

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Year:  2007        PMID: 18051064     DOI: 10.1007/978-3-540-75757-3_29

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  2 in total

1.  Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling.

Authors:  Fan Zhang; Edwin R Hancock; Casey Goodlett; Guido Gerig
Journal:  Med Image Anal       Date:  2008-06-05       Impact factor: 8.545

2.  Directional functions for orientation distribution estimation.

Authors:  Yogesh Rathi; Oleg Michailovich; Martha E Shenton; Sylvain Bouix
Journal:  Med Image Anal       Date:  2009-02-05       Impact factor: 8.545

  2 in total

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