Literature DB >> 19694257

A statistical model of white matter fiber bundles based on currents.

Stanley Durrleman1, Pierre Fillard, Xavier Pennec, Alain Trouvé, Nicholas Ayache.   

Abstract

The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fiber bundles as currents seems particularly relevant, as it gives a metric between bundles which relies neither on point nor on fiber correspondences and which is robust to fiber interruption. First, this metric is included in a diffeomorphic registration scheme which consistently aligns sets of fiber bundles. In particular, we show that aligning directly fiber bundles may solve the aperture problem which appears when fiber mappings are constrained by tensors only. Second, the measure of variability of a population of fiber bundles is based on a statistical model which considers every bundle as a random diffeomorphic deformation of a common template plus a random non-diffeomorphic perturbation. Thus, the variability is decomposed into a geometrical part and a "texture" part. Our results on real data show that both parts may contain interesting anatomical features.

Mesh:

Year:  2009        PMID: 19694257     DOI: 10.1007/978-3-642-02498-6_10

Source DB:  PubMed          Journal:  Inf Process Med Imaging        ISSN: 1011-2499


  3 in total

1.  fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts.

Authors:  Lauren J O'Donnell; Laura Rigolo; Isaiah Norton; William M Wells; Carl-Fredrik Westin; Alexandra J Golby
Journal:  Neuroimage       Date:  2011-12-02       Impact factor: 6.556

2.  Comparative analysis of three different modalities for characterization of the seismocardiogram.

Authors:  Alireza Akhbardeh; Kouhyar Tavakolian; Viatcheslav Gurev; Ted Lee; William New; Bozena Kaminska; Natalia Trayanova
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

3.  QuickBundles, a Method for Tractography Simplification.

Authors:  Eleftherios Garyfallidis; Matthew Brett; Marta Morgado Correia; Guy B Williams; Ian Nimmo-Smith
Journal:  Front Neurosci       Date:  2012-12-11       Impact factor: 4.677

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.