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/Title (Deterministic and probabilistic tractography based on complex fibre orientation distributions.)
/Subject (We propose an integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function \(ODF\) estimated from high angular resolution diffusion imaging \(HARDI\). We show that in order to perform accurate probabilistic tractography, one needs to use a fibre ODF estimation and not the diffusion ODF. We use a new fibre ODF estimation obtained from a sharpening deconvolution transform \(SDT\) of the diffusion ODF reconstructed from q-ball imaging \(QBI\). This SDT provides new insight into the relationship between the HARDI signal, the diffusion ODF, and the fibre ODF. We demonstrate that the SDT agrees with classical spherical deconvolution and improves the angular resolution of QBI. Another important contribution of this paper is the development of new deterministic and new probabilistic tractography algorithms using the full multidirectional information obtained through use of the fibre ODF. An extensive comparison study is performed on human brain datasets comparing our new deterministic and probabilistic tracking algorithms in complex fibre crossing regions. Finally, as an application of our new probabilistic tracking, we quantify the reconstruction of transcallosal fibres intersecting with the corona radiata and the superior longitudinal fasciculus in a group of eight subjects. Most current diffusion tensor imaging \(DTI\)-based methods neglect these fibres, which might lead to incorrect interpretations of brain functions.)
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/Keywords (Algorithms; Brain, anatomy /&/ histology; Diffusion Magnetic Resonance Imaging, methods; Echo-Planar Imaging, methods; Humans; Image Enhancement, methods; Image Processing, Computer-Assisted, methods; Models, Neurological; Models, Statistical; Nerve Fibers, ultrastructure; Normal Distribution; Reproducibility of Results; Sensitivity and Specificity)
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We propose an integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function (ODF) estimated from high angular resolution diffusion imaging (HARDI). We show that in order to perform accurate probabilistic tractography, one needs to use a fibre ODF estimation and not the diffusion ODF. We use a new fibre ODF estimation obtained from a sharpening deconvolution transform (SDT) of the diffusion ODF reconstructed from q-ball imaging (QBI). This SDT provides new insight into the relationship between the HARDI signal, the diffusion ODF, and the fibre ODF. We demonstrate that the SDT agrees with classical spherical deconvolution and improves the angular resolution of QBI. Another important contribution of this paper is the development of new deterministic and new probabilistic tractography algorithms using the full multidirectional information obtained through use of the fibre ODF. An extensive comparison study is performed on human brain datasets comparing our new deterministic and probabilistic tracking algorithms in complex fibre crossing regions. Finally, as an application of our new probabilistic tracking, we quantify the reconstruction of transcallosal fibres intersecting with the corona radiata and the superior longitudinal fasciculus in a group of eight subjects. Most current diffusion tensor imaging (DTI)-based methods neglect these fibres, which might lead to incorrect interpretations of brain functions.
Maxime Descoteaux
Rachid Deriche
Thomas R Knösche
Alfred Anwander
bibtex/bibtexkey/Descoteaux_IEEETransMedImaging_preprint_2009
bibtex/file/Descoteaux_IEEETransMedImaging_preprint_2009.pdf:Descoteaux_IEEETransMedImaging_preprint_2009.pdf:PDF
bibtex/institution/LNAO Laboratory, NeuroSpin, CEA/Saclay, 91191 Paris, France.
bibtex/journal/IEEE Trans Med Imaging
bibtex/language/eng
bibtex/number/2
bibtex/pages/269--286
bibtex/timestamp/2009.12.04
bibtex/url/http://dx.doi.org/10.1109/TMI.2008.2004424
bibtex/volume/28
10.1109/TMI.2008.2004424
Algorithms; Brain
anatomy /&/ histology; Diffusion Magnetic Resonance Imaging
methods; Echo-Planar Imaging
methods; Humans; Image Enhancement
methods; Image Processing
Computer-Assisted
methods; Models
Neurological; Models
Statistical; Nerve Fibers
ultrastructure; Normal Distribution; Reproducibility of Results; Sensitivity and Specificity
Deterministic and probabilistic tractography based on complex fibre orientation distributions.
2009-02
application/pdf
Article
Maxime Descoteaux
Rachid Deriche
Thomas R Knösche
Alfred Anwander
Descoteaux_IEEETransMedImaging_preprint_2009
10.1109/TMI.2008.2004424
Descoteaux_IEEETransMedImaging_preprint_2009.pdf:Descoteaux_IEEETransMedImaging_preprint_2009.pdf:PDF
LNAO Laboratory, NeuroSpin, CEA/Saclay, 91191 Paris, France.
IEEE Trans Med Imaging
Algorithms; Brain, anatomy /&/ histology; Diffusion Magnetic Resonance Imaging, methods; Echo-Planar Imaging, methods; Humans; Image Enhancement, methods; Image Processing, Computer-Assisted, methods; Models, Neurological; Models, Statistical; Nerve Fibers, ultrastructure; Normal Distribution; Reproducibility of Results; Sensitivity and Specificity
eng
Feb
2
269--286
2009.12.04
Deterministic and probabilistic tractography based on complex fibre orientation distributions.
http://dx.doi.org/10.1109/TMI.2008.2004424
28
2009
Article
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