title: Automated multi-subject fiber clustering of mouse brain using dominant sets.
abstract: Mapping of structural and functional connectivity may provide deeper understanding of brain function and disfunction. Diffusion Magnetic Resonance Imaging (DMRI) is a powerful technique to non-invasively delineate white matter (WM) tracts and to obtain a three-dimensional description of the structural architecture of the brain. However, DMRI tractography methods produce highly multi-dimensional datasets whose interpretation requires advanced analytical tools. Indeed, manual identification of specific neuroanatomical tracts based on prior anatomical knowledge is time-consuming and prone to operator-induced bias. Here we propose an automatic multi-subject fiber clustering method that enables retrieval of group-wise WM fiber bundles. In order to account for variance across subjects, we developed a multi-subject approach based on a method known as Dominant Sets algorithm, via an intra- and cross-subject clustering. The intra-subject step allows us to reduce the complexity of the raw tractography data, thus obtaining homogeneous neuroanatomically-plausible bundles in each diffusion space. The cross-subject step, characterized by a proper space-invariant metric in the original diffusion space, enables the identification of the same WM bundles across multiple subjects without any prior neuroanatomical knowledge. Quantitative analysis was conducted comparing our algorithm with spectral clustering and affinity propagation methods on synthetic dataset. We also performed qualitative analysis on mouse brain tractography retrieving significant WM structures. The approach serves the final goal of detecting WM bundles at a population level, thus paving the way to the study of the WM organization across groups.
authors: Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia Genova, Italy.
authors: Luca
authors: L
authors: Dodero
authors: Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia Genova, Italy.
authors: Sebastiano
authors: S
authors: Vascon
authors: Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia Genova, Italy.
authors: Vittorio
authors: V
authors: Murino
authors: Magnetic Resonance Imaging Department, Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia Rovereto, Italy.
authors: Angelo
authors: A
authors: Bifone
authors: Magnetic Resonance Imaging Department, Center for Neuroscience and Cognitive Systems@UniTn, Istituto Italiano di Tecnologia Rovereto, Italy.
authors: Alessandro
authors: A
authors: Gozzi
authors: Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia Genova, Italy ; NeuroInformatics Laboratory (NiLab), Fondazione Bruno Kessler Trento, Italy.
authors: Diego
authors: D
authors: Sona
keywords: DTI; clustering; diffusion magnetic resonance imaging; dominant sets; fibers segmentation; multi-subject; tractography; white matter
references: Neuroimage. 2009 Oct 1;47(4):1288-300
references: 19361565
references: Neuroimage. 2014 Feb 15;87:403-15
references: 24080504
references: Front Neurosci. 2012 Dec 11;6:175
references: 23248578
references: IEEE Trans Med Imaging. 2011 Jan;30(1):131-45
references: 20716499
references: Neuroimage. 2004;23 Suppl 1:S208-19
references: 15501092
references: Neuroimage. 2014 Nov 15;102 Pt 2:596-607
references: 25134977
references: Conf Proc IEEE Eng Med Biol Soc. 2013;2013:85-8
references: 24109630
references: IEEE Trans Pattern Anal Mach Intell. 2007 Jan;29(1):167-72
references: 17108392
references: Neuroimage. 2004 Nov;23(3):1176-85
references: 15528117
references: Science. 2007 Feb 16;315(5814):972-6
references: 17218491
references: PLoS One. 2013 Dec 30;8(12):e83847
references: 24386292
references: NMR Biomed. 2002 Nov-Dec;15(7-8):456-67
references: 12489095
references: Cortex. 2008 Sep;44(8):1105-32
references: 18619589
references: PLoS One. 2013 Oct 16;8(10):e76655
references: 24146902
references: Neuroimage. 2011 Feb 1;54(3):1975-93
references: 20965259
references: AJNR Am J Neuroradiol. 2006 May;27(5):1032-6
references: 16687538
references: Neuroimage. 2011 Jan 1;54(1):290-302
references: 20678578
references: Neuroimage. 2007 Jul 1;36(3):630-44
references: 17481925
references: Med Image Comput Comput Assist Interv. 2004 Sep 2;3216/2004(3216):368-375
references: 20209048
references: IEEE Trans Vis Comput Graph. 2008 Sep-Oct;14(5):1044-53
references: 18599916
references: J Clin Invest. 2014 Apr;124(4):1468-82
references: 24614104
references: Neuroimage. 2012 Jul 16;61(4):1083-99
references: 22414992
references: Ann Neurol. 1999 Feb;45(2):265-9
references: 9989633
references: Neuroimage. 2012 Mar;60(1):456-70
references: 22155376
references: IEEE Trans Med Imaging. 2007 Nov;26(11):1562-75
references: 18041271
references: Neuroimage. 2010 Jan 15;49(2):1249-58
references: 19683061