title: Computational representation of white matter fiber orientations.
abstract: We present a new methodology based on directional data clustering to represent white matter fiber orientations in magnetic resonance analyses for high angular resolution diffusion imaging. A probabilistic methodology is proposed for estimating intravoxel principal fiber directions, based on clustering directional data arising from orientation distribution function (ODF) profiles. ODF reconstructions are used to estimate intravoxel fiber directions using mixtures of von Mises-Fisher distributions. The method focuses on clustering data on the unit sphere, where complexity arises from representing ODF profiles as directional data. The proposed method is validated on synthetic simulations, as well as on a real data experiment. Based on experiments, we show that by clustering profile data using mixtures of von Mises-Fisher distributions it is possible to estimate multiple fiber configurations in a more robust manner than currently used approaches, without recourse to regularization or sharpening procedures. The method holds promise to support robust tractographic methodologies and to build realistic models of white matter tracts in the human brain.
authors.affiliation: Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia (FCT), Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
authors.forename: Adelino R
authors.initials: AR
authors.lastname: Ferreira da Silva
references.citation: Neuroimage. 2006 Jul 1;31(3):1086-103
references.pmid: 16546404
references.citation: Med Image Anal. 2009 Jun;13(3):432-44
references.pmid: 19269242
references.citation: IEEE Trans Med Imaging. 2009 Feb;28(2):269-86
references.pmid: 19188114
references.citation: Magn Reson Med. 2002 Aug;48(2):331-40
references.pmid: 12210942
references.citation: Neuroimage. 2012 Aug 15;62(2):782-90
references.pmid: 21979382
references.citation: Magn Reson Med. 2004 Dec;52(6):1358-72
references.pmid: 15562495
references.citation: J Neurosci Methods. 2013 Jan 15;212(1):143-55
references.pmid: 23059492
references.citation: Magn Reson Med. 1999 Sep;42(3):526-40
references.pmid: 10467297
references.citation: Neuroimage. 2008 Aug 15;42(2):617-25
references.pmid: 18583153
references.citation: Neuroimage. 2007 Aug 1;37(1):164-76
references.pmid: 17570683
references.citation: Inf Process Med Imaging. 2003 Jul;18:684-95
references.pmid: 15344498
references.citation: AJNR Am J Neuroradiol. 2004 Mar;25(3):356-69
references.pmid: 15037456
references.citation: Neuroimage. 2011 Aug 1;57(3):825-38
references.pmid: 21642005
references.citation: Nat Rev Neurosci. 2003 Jun;4(6):469-80
references.pmid: 12778119
references.citation: Magn Reson Med. 2005 Nov;54(5):1216-25
references.pmid: 16200554
references.citation: NMR Biomed. 2002 Nov-Dec;15(7-8):468-80
references.pmid: 12489096
references.citation: IEEE Trans Med Imaging. 2010 Sep;29(9):1626-35
references.pmid: 20304721
references.citation: Magn Reson Med. 2000 Oct;44(4):625-32
references.pmid: 11025519
references.citation: Neuroimage. 2004 Dec;23(4):1358-69
references.pmid: 15589100