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The Irish Diffusion Imaging Group is pleased to announce:
The Diffusion Tensor Imaging
Symposium
Venue: Newman House, 85 & 86 St. Stephen's Green
Date: Thursday March 12th 2009
Time: 1.00pm - 5.30pm
1.00 – 1.30pm
LUNCH: LIGHT SNACK AND REFRESHMENTS
1.30 – 2.30pm
INTRODUCTION TO DIFFUSION TENSOR IMAGING
Dr. Phil Cook, Penn Image Computing & Science Lab, University of
Pennsylvania
2.30 – 3.30pm
DIFFUSION MRI BEYOND THE TENSOR
Dr. Daniel Alexander, Center for Medical Image Computing, University
College London
3.30 – 4.00pm
COFFEE BREAK
4.00 – 5.00pm
TRACTOGRAPHY AND CLINICAL APPLICATIONS
Dr. Patric Hagmann, Massachusetts General Hospital, Harvard, Boston
and University Hospital Center and University of Lausanne (UNIL-CHUV),
Switzerland
5.00 – 5.30pm
QUESTIONS AND ANSWERS SESSION
Sponsors:
UCD Diagnostic Imaging and School of Medicine and Medical Science
Contact:
Kathleen Curran, UCD
E-mail: [email protected]
**3.5 CME credits can be awarded to clinicians attending this event**
INVITED SPEAKERS
Dr. Philip Cook
Dr. Philip Cook completed his BSc in Astrophysics (2000), followed by an MSc and PhD in Computer Science
at University College London in 2001 and 2006 respectively. He developed and applied image processing
algorithms for tractography within the Center for Medical Image Computing (CMIC) at UCL (formerly MedIC).
Dr. Cook has also worked extensively on Camino, a free, open-source diffusion MRI toolkit.
At present Dr. Cook is a Postdoctoral Fellow in the Department of Radiology at the University of Pennsylvania
and a member of the Penn Image Computing and Science Laboratory (PICSL). His current research interests are
in the quantification of uncertainty in fiber tracking and clinically useful markers of "connectivity" via white
matter structures. He is also interested in other aspects of diffusion imaging such as the optimization of the
acquisition.
Dr. Daniel Alexander
Dr. Daniel Alexander received a BA in Mathematics, a MSc. in Computer Science and his PhD was in
Computer Vision. He also undertook post-doctoral research on shape modeling in bioengineering at the Royal
National Orthopaedic Hospital in London and on imaging and DTI registration at the University of Pennsylvania
in Philadelphia. Dr. Alexander currently holds a faculty position as Reader of Imaging Science within the Centre
for Medical Image Computing (CMIC) and the Vision and Imaging Sciences group in the Computer Science
Department at University College London. He is presently the recipient of an EPSRC Fellowship.
Dr. Alexander has a total of around 120 peer reviewed publications. His primary research interest is in
quantitative imaging and he has particular expertise in diffusion MRI. He works on connectivity mapping and
microstructure imaging and leads the development and maintenance of the Camino diffusion MRI toolkit.
Camino contains state of the art tractography and connectivity mapping tools, diffusion simulation engines and
models and optimization procedures. Dr. Alexander’s more general research interests include medical imaging,
computer vision and image and audio processing.
Dr. Patric Hagmann
Dr. Patric Hagmann is currently a Fellow in Pediatric Neuroradiology at MGH, Harvard. He received his
medical degree in 2000 from University of Lausanne, Switzerland. During his studies he spent two years as an
exchange student successively at University of Basel, Switzerland and University of Leicester, United Kingdom.
He acquired his clinical skills in different specialties and hospitals in United Kingdom, Switzerland, Canada and
India. In 2001, he completed his education with a Postgraduate Program in Biomedical Engineering at EPFL,
Lausanne, Switzerland.
Between 2001 and 2005 he worked at ITS in EPFL as a research assistant, and spent some time at the NMRcenter at Harvard Medical School in Boston. In 2005 Dr. Hagmann was awarded a PhD from the School of
Computer and Communication Sciences of EPFL for his work entitled "From Diffusion MRI to Brain
Connectomics". From 2005 -2008 Dr. Hagmann was a resident in radiology at University Hospital Centre
Lausanne and a senior researcher at the Signal Processing Lab at the Federal Institute of Technology Lausanne.
Dr. Hagmann’s current research interests include the theoretical foundations of diffusion MRI and its
mathematical representation, the relationship between the diffusion MRI signal and brain axonal trajectories
(tractography or fiber tracking), the mathematical representation of brain connectivity (the brain connectome)
and its architecture as well as comparative neuro-anatomy between different classes of subjects.