Dear Users
This Thursday (4-5 pm) in YNiC open plan, there will be a presentation
by Jing Kan from the Department of Computer Science. The title of Jing's
talk is
"Basis functions source model applied to MEG Spatio-Temporal Source
Reconstruction".
Everyone is welcome to attend.
Best wishes
Rebecca
Abstract:
The aim of this paper is to explore a new method of MEG source
spatio-temporal reconstruction based on modeling the neural source with
extended spherical basis functions. The high resolution 3D cortical mesh
is extracted along with the corresponding MRI scan. Inspired by the
theory that Laplacian eigenvectors of spherical mesh are equivalent to
its basis functions which represent the whole mesh, we build a new model
that describes the source distributed on each mesh vertex. This model
consists of analogous basis functions and unknown weighted coefficients.
Along with the leadfield, the weighted coefficients can be calculated in
the light of forward formula of MEG.. The distributed neural source on
the mesh is then reconstructed according to the above Basis functions
expanded model. Expanding this process from single time point to
continuous time series, it is possible to obtain the spatio-temporal
reconstructed neural source distributed on cortical mesh vertices.
Finally, the method is implemented using real data for signal
reconstruction experiments. The robustness of this MEG reconstruction
solution is discussed by two aspects. One is to compare with classical
methods, i.e. minimum-norm method. The other is to apply the algorithm
into meshes with different resolutions. It is clear that these
approaches provide a new angle and inspiration of computer graphics to
MEG signal reconstruction.
Key word: MEG,, inverse problem, eigen-decomposition, basis function,
Laplacian eigenvector, spheroidal model, weighted coefficient,
spatio-temporal source reconstruction
TODAY
Friday 9 October 12.15 Physics PT111
Where's the Physics in Medicine?
Dr Richard Watts
Physics has made, and continues to make, vital contributions to modern
medicine. A brief overview of the physics underlying a range of modern
diagnostic imaging techniques will be presented, including X-ray and
computed tomography (CT); nuclear imaging and emission computed tomography
(PET and SPECT); and magnetic resonance imaging (MRI). Finally, recent
advances in the use of radiation for therapy, specifically the treatment of
cancer, will be shown.
While much of the nuclear and atomic physics behind these techniques has
been well understood for many decades, the pace of research and technical
innovation continues to increase. Medicine also clearly demonstrates the
importance of "blue sky" research (such as particle physics) to unforeseen
but important applications. ___________________________________________
Dr Sarah Thompson
Deputy Head of Department
Nanophysics Research Group
Department of Physics
University of York
YORK
YO10 5DD
Telephone: +44 (0)1904 432252
Fax: +44 (0)1904 432214
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information.
4-5 pm in YNiC Open Plan.
Richard Watts, Director of MR Research at the Van der Veer Institute for
Parkinson's and Brain Research in Christchurch, New Zealand and a Senior
Lecturer in Physics and Astronomy at the University of Canterbury.
"Diffusion MRI: Measuring the brain on microscopic and macroscopic scales"
Diffusion MRI produces images that are sensitive to the random
(Brownian) motion of water molecules in the brain. This motion, and
hence the images that are produced, are uniquely sensitive to the
microscopic, cellular environment. This has been exploited for the
clinical imaging of stroke, where it can be used to both identify and
differentiate between recent and old infarctions. In the the research
environment, diffusion MRI produces quantitative maps that relate to
properties such as cell density and myelination. In addition, measuring
the directionality of diffusion (diffusion tensor imaging) in white
matter allows the orientation of the fiber tract bundles to be inferred,
enabling them to be traced from one part of the brain to another
(diffusion tractography). This presentation will introduce that basics
of diffusion MRI and its unique applications to brain connectivity,
development and damage.
Everyone is welcome to attend.
This afternoon (Wednesday 7th October), the VC will be visiting YNiC
from 3pm onwards. He will accompany Hamish Ogston.
If you are working in YNiC this afternoon I would be very grateful if
you would be willing to be ready to discuss what you are doing with
these visitors. As you know, we have made a large investment in new
computer systems and it is a good opportunity to demonstrate these to Mr
Ogston. Hamish Ogston is a local businessman who has career has been in
using IT systems. Please help us to have a reasonable demonstration.
Thank you to all those who helped with the open day yesterday. YNiC
hosted four visits and over 100 pupils and their parents.
If you are building up to carrying our that next bit of scanning then
now is the time to do it. All the equipment is working well and we are
in an unusually quiet period. Past years years suggest we will get a
lot busier from the end of October onwards.
Gary
Gary Green
York Neuroimaging Centre
The Biocentre
York Science Park
Innovation Way
Heslington
York
YO10 5DG
http://www.ynic.york.ac.ukhttps://www.ynic.york.ac.uk/about-us/people/ggrg
tel. +44 (0) 1904 435349
Secretary (Claire Fox) +44 (0) 1904 435329
fax +44 (0) 1904 435356
mobile +44 (0) 788 191 3004
Dear Users
This Thursday (4-5 pm) in YNiC open plan, there will be a presentation
by Richard Watts entitled "Diffusion MRI: Measuring the brain on
microscopic and macroscopic scales".
Richard Watts is the Director of the MR Research at the Van der Veer
Institute for Parkinson's and Brain Research in Christchurch, New
Zealand and a Senior Lecturer in Physics and Astronomy at the University
of Canterbury.
Everyone is welcome to attend.
Best wishes
Rebecca
Abstract:
Diffusion MRI produces images that are sensitive to the random (Brownian) motion of water molecules in the brain. This motion, and hence the images that are produced, are uniquely sensitive to the microscopic, cellular environment. This has been exploited for the clinical imaging of stroke, where it can be used to both identify and differentiate between recent and old infarctions. In the the research environment, diffusion MRI produces quantitative maps that relate to properties such as cell density and myelination. In addition, measuring the directionality of diffusion (diffusion tensor imaging) in white matter allows the orientation of the fiber tract bundles to be inferred, enabling them to be traced from one part of the brain to another (diffusion tractography). This presentation will introduce that basics of diffusion MRI and its unique applications to brain connectivity, development and damage.
FYI
-------- Original Message --------
Subject: [Eeglablist] Specialist Position in EEG/MEG/fMRI
Date: Thu, 01 Oct 2009 11:51:09 -0700
From: Ramesh Srinivasan <srinivar(a)uci.edu>
To: eeglablist(a)sccn.ucsd.edu
*Specialist Position in EEG/MEG/fMRI *
The Department of Cognitive Sciences announces a Specialist position
(assistant or associate level, depending on experience). The successful
candidate will have experience in EEG, MEG, and/or fMRI and is sought
for a NIH funded project on computational modeling of SSVEPs in
attention tasks.
*Requirements – *The candidate must have a PhD in Psychology,
Neuroscience, EE, BME or related fields and a record of previous
experience with at least two of the above methods. Strong programming
and signal processing skills are essential. We have access to
simultaneous EEG/MEG and EEG/fMRI available for this project and
previous experience with combining these brain imaging methods is a
plus. Salary is commensurate with qualifications and experience.
*Application procedure – *Please send a letter of application,
curriculum vitae, and the names of three references (please do not
solicit letters) to:
Ramesh Srinivasan, Ph.D.
Department of Cognitive Sciences
University of California, Irvine
3151 Social Science Plaza
Irvine, CA 92697-5100
r.srinivasan(a)uci.edu
/The University of California, Irvine is an equal opportunity employer
committed to excellence through diversity./
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--
Gary Green
York Neuroimaging Centre
The Biocentre
York Science Park
Innovation Way
Heslington
York
YO10 5DG
http://www.ynic.york.ac.uk
tel. 01904 435349
fax 01904 435356
mobile 0788 191 3004
