From sylvain.baillet at mcgill.ca Fri Jun 15 14:53:49 2012 From: sylvain.baillet at mcgill.ca (Sylvain Baillet, Dr) Date: Fri, 15 Jun 2012 18:53:49 +0000 Subject: [BIC-announce] MEG Training Opportunities Message-ID: <530B742E110D2443BB82CB2299F0493904EB7791@EXMBX2010-7.campus.MCGILL.CA> ** apologies for multiple posting ** Dear all: There are two great opportunities to learn more about MEG (magnetoencephalography) this summer: 1) July 11: We are organizing jointly with colleagues at UdeM a full-day MEG Training Workshop as a satellite to UQAM's Summer School in Cognitive Science. Program and registration: http://neuroimage.usc.edu/brainstorm/UqamMegWorkshop 2) August 31: Brainstorm software workshop (MEG and EEG data analysis & modeling) and User-Symposium in Paris (France), as a satellite to the Biomag2012 international conference. Program and registration: http://neuroimage.usc.edu/brainstorm/WorkshopBiomag2012 If you haven't registered yet, there are still a few spots available for each event. Please contact me for more information about these events or for accessing our MEG Program at The Neuro. Have a great summer, Sylvain. ? Sylvain Baillet, PhD Associate Professor, Neurology & Neurosurgery Associate Member, Dept. of Biomedical Engineering Director, MEG Research neuroSPEED lab - MEG @ McGill - Brainstorm project McConnell Brain Imaging Centre Montreal Neurological Institute McGill University From reza.farivar at mcgill.ca Mon Jun 18 21:05:20 2012 From: reza.farivar at mcgill.ca (Reza Farivar-Mohseni, Dr) Date: Tue, 19 Jun 2012 01:05:20 +0000 Subject: [BIC-announce] =?iso-8859-1?q?Talk_on_MRI_coils=2C_Wed=402pm_in_d?= =?iso-8859-1?q?e_Grandpr=E9_room?= Message-ID: <025C025AAC85E8458E965960574ABB8E04FF2D44@EXMBX2010-7.campus.MCGILL.CA> Dear all, Scott King of the National Research Council will be giving a talk on basics of MRI coil designs and current hot topics in MRI RF, such as travelling wave MRI, gradient-free MRI, etc. The talk will take place at the de Grandpr? Communication Centre on Wednesday, June 20th at 2:00pm. Scott is a leading expert in MRI RF engineering. His 8-channel head coil design is the standard used in all 1.5T clinical scanners, and he continues ground-breaking work in dense phased array receive coils, multi-transmit, and highly-accelerated imaging. Everyone is welcome. ============================================ Title: Transmit and Receive Array Design for new and improved MRI Scott King, NRC In this presentation, the principles of RF coil design for Magnetic Resonance Imaging (MRI) systems will be discussed, including single- and multi-channel phased array receive coils and RF coil electronics. Starting from simulation through electromagnetic field modeling and ending with construction methods, MRI performance analysis of designs will demonstrate how RF coils are designed and constructed for maximizing image quality (SNR) and for reducing acquisition time using parallel MRI data acquisition. The presentation will end with a taste of the latest advanced RF coil topics of data compression, transmit-array MRI, travelling wave MRI and gradient-free RF-only MRI. ||||||||||||||||||||||||||||||||||||||||| Reza Farivar, PhD Assistant Professor McGill Vision Research Centre Dept. of Opthalmology, McGill University Tel: 514.934.1934, ext. 35913 Fax: 514.843.1691 From Jean-Francois.Malouin at bic.mni.mcgill.ca Mon Jun 18 22:52:52 2012 From: Jean-Francois.Malouin at bic.mni.mcgill.ca (Jean-Francois Malouin) Date: Mon, 18 Jun 2012 22:52:52 -0400 Subject: [BIC-announce] appartment for rent on the Plateau Mont-Royal Message-ID: <20120619025252.GA26135@bic.mni.mcgill.ca> A friend of mine is leaving. Her appartment is available July 1st: http://montreal.kijiji.ca/c-real-estate-apartments-condos-1-bedroom-Charming-large-3-1-2-in-the-heart-of-the-Plateau-W0QQAdIdZ387514373 jf From christophe.grova at mcgill.ca Fri Jun 22 13:42:59 2012 From: christophe.grova at mcgill.ca (Christophe Grova) Date: Fri, 22 Jun 2012 17:42:59 +0000 Subject: [BIC-announce] Seminar in Biomedical Engineering - FRIDAY June 29th at 13h Message-ID: <9E1647EDA3EBB44AADA162CEC4C4222E01907460@exmbx2010-9.campus.MCGILL.CA> Dear all, We will have a special Biomedical Engineering Dpt seminar next friday Friday - June 29th, at 13h Location: Room 333 Lyman Duff Building (Biomedical Engineering Dpt, 3775 University Street). Speaker: Dr. [X] Michael Buchholz PhD, Senior Scientist/Research Group Leader and Lecturer, Institute for Measurement, Control, an Microtechnology, Ulm University, Germany Title: Overview on Subspace Identification for LTI and LPV systems Abstract: An adequate system description, mainly in form of a mathematical model, is the basis for most of the modern control engineering tasks like optimized control design or modelbased fault diagnosis. A system model can either be obtained only from physical considerations (white-box modelling), from system identification only using measurement data of input and output signals (black-box modelling) or anything in-between (grey-box modelling). Subspace identification (SID), or subspace-based state space system identification (4SID) at length, denotes a class of black-box identification methods that estimate noniteratively the order as well as the parameters of a dynamic system. As a start, the basic concept of SID will be introduced in the presentation. This will be followed by an overview on common algorithms for LTI systems and the discussion of some extensions to LPV systems. Preceding the main talk, a short introduction on research at Institute for Measurement, Control, and, Microtechnology will be given, including two medical engineering projects. This seminar is hosted by Kian Jalaleddini, Secretary, IEEE Montreal Section, Vice Chair, Engineering in Medicine and Biology (EMB), IEEE Montreal A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars See you there Christophe Grova *************************** Christophe Grova, PhD Assistant Professor Biomedical Engineering Dpt Neurology and Neurosurgery Dpt Montreal Neurological Institute Centre de Recherches en Math?matiques Biomedical Engineering Department - Room 304 McGill University 3775 University Street, Montreal, Quebec, Canada, H3A 2B4 email : christophe.grova at mcgill.ca tel : (514) 398 2516 fax : (514) 398 7461 web: http://www.mni.mcgill.ca/research/gotman/members/christophe.html http://www.bmed.mcgill.ca/ *************************** -------------- next part -------------- A non-text attachment was scrubbed... Name: buchholz.pdf Type: application/pdf Size: 126967 bytes Desc: buchholz.pdf URL: From christophe.grova at mcgill.ca Wed Jun 27 07:33:11 2012 From: christophe.grova at mcgill.ca (Christophe Grova) Date: Wed, 27 Jun 2012 07:33:11 -0400 Subject: [BIC-announce] Seminar in Biomedical Engineering - FRIDAY June 29th at 13h Message-ID: Dear all, We will have a special Biomedical Engineering Dpt seminar this friday This seminar is hosted by Kian Jalaleddini and sponsored by IEEE Engineering in Medicine and Biology Society (EMBS) and IEEE Montreal Section Please note that lunch and refreshment will be served at 13:00 and the seminar presentation starts at 13:15 Friday - June 29th, at 13h Location: Room 333 Lyman Duff Building (Biomedical Engineering Dpt, 3775 University Street). Speaker: Dr. Michael Buchholz PhD, Senior Scientist/Research Group Leader and Lecturer, Institute for Measurement, Control, an Microtechnology, Ulm University, Germany Title: Overview on Subspace Identification for LTI and LPV systems Abstract: An adequate system description, mainly in form of a mathematical model, is the basis for most of the modern control engineering tasks like optimized control design or modelbased fault diagnosis. A system model can either be obtained only from physical considerations (white-box modelling), from system identification only using measurement data of input and output signals (black-box modelling) or anything in-between (grey-box modelling). Subspace identification (SID), or subspace-based state space system identification (4SID) at length, denotes a class of black-box identification methods that estimate noniteratively the order as well as the parameters of a dynamic system. As a start, the basic concept of SID will be introduced in the presentation. This will be followed by an overview on common algorithms for LTI systems and the discussion of some extensions to LPV systems. Preceding the main talk, a short introduction on research at Institute for Measurement, Control, and, Microtechnology will be given, including two medical engineering projects. A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars See you there Christophe Grova *************************** Christophe Grova, PhD Assistant Professor Biomedical Engineering Dpt Neurology and Neurosurgery Dpt Montreal Neurological Institute Centre de Recherches en Math?matiques Biomedical Engineering Department - Room 304 McGill University 3775 University Street, Montreal, Quebec, Canada, H3A 2B4 email : christophe.grova at mcgill.ca tel : (514) 398 2516 fax : (514) 398 7461 web: http://www.mni.mcgill.ca/research/gotman/members/christophe.html http://www.bmed.mcgill.ca/ *************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From jcampbel at bic.mni.mcgill.ca Thu Jun 28 11:20:43 2012 From: jcampbel at bic.mni.mcgill.ca (Jennifer Campbell) Date: Thu, 28 Jun 2012 11:20:43 -0400 Subject: [BIC-announce] CIM-SOCS PhD Oral Defense - Parya Momayyezsiahkal: Friday, June 29/12 at 10am in MC103 Message-ID: <4FEC764B.7080104@bic.mni.mcgill.ca> Hello everyone, Parya Momayyezsiahkal, PhD candidate under the supervision of Professor Kaleem Siddiqi, Director of the Shape Analysis Group of the Centre for Intelligent Machines (CIM), is defending on: DATE: Friday, June 29, 2012 TIME: 10:00 a.m. PLACE: McConnell Eng. Bldg., Room 103 TITLE: 3D stochastic completion fields for mapping brain connectivity using diffusion magnetic resonance imaging ************************************************************************ ABSTRACT: This thesis proposes a novel probabilistic method for measuring anatomical connectivity in the brain based on measurements obtained from diffusion magnetic resonance imaging. We approach the problem of fibre tractography from the viewpoint that a computational theory should relate to the underlying quantity that is being measured - the anisotropic diffusion of water molecules in fibrous tissues. To achieve this goal, the prior probability of completion between two particular regions of interest is modelled by a 3D directional random walk, which is representative of the ensemble anisotropic displacement to which diffusion-MRI measurements have been sensitized. The 3D directional random walk is controlled by a set of stochastic differential equations whose solution provides the probability of passing through every position and orientation in space, given initial source and sink regions. Under such a model, particles tend to travel in a straight line, with a slight perturbation in their 3D orientation at each step governed by two consecutive Brownian motions. The probability density functions describing the likelihood of passing through a particular position and orientation in 3D, given an initial source region and a final sink region, are respectively called a stochastic source field and a stochastic sink field. The final stochastic completion field is estimated by the product of these two densities and it represents the probability of passing through a particular state in 3D, while bridging the gap between the two regions. We show that the maximum likelihood curves obtained under the 3D directional random walk are curves of least energy which minimize a weighted sum of curvature squared, torsion squared and length. The 3D directional random walk and the associated completion fields are an extension of Williams and Jacobs' model for curve completion in the plane. We then develop an efficient, local and parallelizable computational method to obtain the stochastic completion fields by exploiting the Fokker-Planck equation of the 3D directional random walk. This partial differential equation describes the evolution of the probability distribution of particles following such a random process. Additionally, a rotation invariant solution is proposed using a spherical harmonics basis to capture directions on the 2-sphere. In analogy with the 2D completion model, we introduce additional diffusion terms to make spatial advection errors isotropic. The 3D stochastic completion field is further adapted to those problems where dense orientation data is present, as is the case for diffusion MRI measurements. The insertion of angular drift terms into the overall stochastic process provides a principled way to compute completions, while exploiting the local orientation information available at each voxel in the volume. Our algorithm provides a novel index of connectivity between two regions of interest, which is based on the overall probability for the computed completion curves between the two. We then discuss an alternative model of the directional random walk, where the 3D orientation change is drawn from a single distribution, i.e., a 3D Brownian distribution. The performance of the stochastic completion field algorithm is validated qualitatively and quantitatively on diffusion-MRI data from biological phantoms and on synthetic data. In vivo human data from 12 subjects is then used to investigate the algorithm's performance qualitatively by comparing the output of our method with published results based on another tractography method. Finally, we conclude by discussing the advantages and limitations of the method developed in this thesis and suggest directions for future work. Committee: Prof. X-W. Chang (Chair/Deputy) Prof. K. Siddiqi (Supervisor) Prof. J. Clark (External member) Prof. M. Langer (Internal examiner) TBA (Pro-Dean) Prof. B. Pike (Committee member) ALL ARE WELCOME . From christophe.grova at mcgill.ca Fri Jun 29 08:18:46 2012 From: christophe.grova at mcgill.ca (Christophe Grova) Date: Fri, 29 Jun 2012 08:18:46 -0400 Subject: [BIC-announce] Seminar in Biomedical Engineering - FRIDAY June 29that 13h Message-ID: <2EE831F8CFB24A0A8EB5D4537215EF4A@christope2283c> Dear all, We will have a special Biomedical Engineering Dpt seminar TODAY This seminar is hosted by Kian Jalaleddini and sponsored by IEEE Engineering in Medicine and Biology Society (EMBS) and IEEE Montreal Section Please note that lunch and refreshment will be served at 13:00 and the seminar presentation starts at 13:15 Friday - June 29th, at 13h Location: Room 333 Lyman Duff Building (Biomedical Engineering Dpt, 3775 University Street). Speaker: Dr. Michael Buchholz PhD, Senior Scientist/Research Group Leader and Lecturer, Institute for Measurement, Control, an Microtechnology, Ulm University, Germany Title: Overview on Subspace Identification for LTI and LPV systems Abstract: An adequate system description, mainly in form of a mathematical model, is the basis for most of the modern control engineering tasks like optimized control design or modelbased fault diagnosis. A system model can either be obtained only from physical considerations (white-box modelling), from system identification only using measurement data of input and output signals (black-box modelling) or anything in-between (grey-box modelling). Subspace identification (SID), or subspace-based state space system identification (4SID) at length, denotes a class of black-box identification methods that estimate noniteratively the order as well as the parameters of a dynamic system. As a start, the basic concept of SID will be introduced in the presentation. This will be followed by an overview on common algorithms for LTI systems and the discussion of some extensions to LPV systems. Preceding the main talk, a short introduction on research at Institute for Measurement, Control, and, Microtechnology will be given, including two medical engineering projects. A list of upcoming seminars can be found at : http://www.mcgill.ca/bme/news/seminars See you there Christophe Grova *************************** Christophe Grova, PhD Assistant Professor Biomedical Engineering Dpt Neurology and Neurosurgery Dpt Montreal Neurological Institute Centre de Recherches en Math?matiques Biomedical Engineering Department - Room 304 McGill University 3775 University Street, Montreal, Quebec, Canada, H3A 2B4 email : christophe.grova at mcgill.ca tel : (514) 398 2516 fax : (514) 398 7461 web: http://www.mni.mcgill.ca/research/gotman/members/christophe.html http://www.bmed.mcgill.ca/ *************************** -------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: