[BIC-announce] Reminder - Deriche Talk - Thurs. July 7, 11 am MC 437

[Kaleem Siddiqi]

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Time and Place: Thursday July 7th, 11:00 am - 12:15 pm, McConnell =20
Engineering, Room 437
Title: "Diffusion MRI : Estimation, Regularization, Segmentation and =20
Fiber tracking"
Speaker:   Rachid Deriche
		Responsable permanent du projet Odyss=E9e
                    En charge des relations internationales pour l'UR de =
=20
Sophia

Abstract:
Diffusion magnetic resonance imaging probes and quantifies the =20
anisotropic diffusion of water molecules
in biological tissues, making it possible to non-invasively infer the =20=

architecture of the underlying structures.
In this talk, I will present the recent variational approaches we have =20=

developed for the robust estimation and
regularization of diffusion tensor images (DTI) as well as a novel =20
statistical framework for the segmentation
of cerebral white matter structures from this type of dataset. =20
Applications to fiber tracking and apparent diffusion
coefficient estimation from HARDI data will also be discussed and =20
illustrated at the end of the talk by
Christophe Lenglet and Maxime Descoteaux.
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Kaleem Siddiqi									=
=09
School of Computer Science & Centre For Intelligent Machines
McGill University
http://www.cim.mcgill.ca/~siddiqi=09

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Time and Place: Thursday July 7th, 11:00 am - 12:15 pm, McConnell
Engineering, Room 437

Title: "Diffusion MRI : Estimation, Regularization, Segmentation and
Fiber tracking"

Speaker:   Rachid Deriche

		Responsable permanent du projet Odyss=E9e

                   En charge des relations internationales pour l'UR
de Sophia


Abstract:

Diffusion magnetic resonance imaging probes and quantifies the
anisotropic diffusion of water molecules=20

in biological tissues, making it possible to non-invasively infer the
architecture of the underlying structures.=20

In this talk, I will present the recent variational approaches we have
developed for the robust estimation and=20

regularization of diffusion tensor images (DTI) as well as a novel
statistical framework for the segmentation=20

of cerebral white matter structures from this type of dataset.
Applications to fiber tracking and apparent diffusion

coefficient estimation from HARDI data will also be discussed and
illustrated at the end of the talk by=20

Christophe Lenglet and Maxime Descoteaux.

=
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<color><param>8080,0000,8080</param>Kaleem Siddiqi				=
					=09

School of Computer Science & Centre For Intelligent Machines

McGill University

http://www.cim.mcgill.ca/~siddiqi=09

</color>=

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