[BIC-announce] Correction: Thurs. June 26: talk by Jeff Orchard (U. Waterloo)

[Bruce Pike]

> The talk will be given in the CIM seminar room, McConnell  
> Engineering, room 437 at 3:00pm.
> Thanks,
>
> Bruce Pike wrote:
>>>
>>> *From: *Michael Langer <langer at cim.mcgill.ca <mailto:langer at cim.mcgill.ca 
>>> >>
>>> *Date: *June 17, 2008 9:30:32 AM EDT (CA)
>>> *To: *perception-list at cim.mcgill.ca <mailto:perception-list at cim.mcgill.ca 
>>> >, reparticim-students at cim.mcgill.ca <mailto:reparticim-students at cim.mcgill.ca 
>>> >, reparti at cim.mcgill.ca <mailto:reparti at cim.mcgill.ca>
>>> *Subject: **Thurs. June 26: talk by Jeff Orchard (U. Waterloo)*
>>>
>>>
>>> Next Thursday's Perception/REPARTI speaker will be Prof. Jeff  
>>> Orchard
>>> from U. Waterloo.
>>>
>>> Title, Abstract, Bio are below.
>>>
>>> Date:    Thurs, June 26
>>> Title:   "New Methods in Medical Image Registration"
>>>
>>> Abstract:
>>>
>>> Image registration is the task of aligning two or more images so  
>>> that
>>> their content corresponds on a pixel-to-pixel basis.  In this two- 
>>> part
>>> talk, I will discuss two of my recent projects in automatic image
>>> registration.
>>>
>>> Part 1: Most image registration methods assume that the images being
>>> registered are nearly aligned.  When that's not the case, things  
>>> fall
>>> apart.  I have developed a method that efficiently combats this
>>> problem by exhaustively considering all possible shifts of an image.
>>> It's made possible by some FFT trickery.
>>>
>>> Part 2: When registering medical images of different types (eg. MRI
>>> and a CAT scan), the images cannot be registered using pixel
>>> intensities directly.  For example, bones are bright in a CAT scan,
>>> but dark in an MRI.  Instead, the problem is often formulated in
>>> information-theoretic terms, yielding the current state-of-the-art
>>> method of Mutual Information.  However, I will demonstrate that  
>>> there
>>> are advantages to posing the problem in terms of clustering.
>>>
>>> Bio:
>>>
>>> Jeff Orchard received his B.Math. degree in applied mathematics from
>>> the University of Waterloo, Canada, in 1994, and his M.Sc. degree in
>>> applied mathematics from the University of British Columbia, Canada,
>>> in 1996.  He received his Ph.D. degree in computing science from  
>>> Simon
>>> Fraser University, Canada, in 2003.
>>>
>>> Since 2003, Prof. Orchard has been an Assistant Professor in the  
>>> David
>>> R. Cheriton School of Computer Science at the University of  
>>> Waterloo,
>>> Canada.  His research interests revolve around applying mathematics
>>> and computation to visual data.  He has worked on projects in image
>>> registration, motion compensation for medical imaging, functional  
>>> MRI,
>>> medical image reconstruction, and image mosaicking.  At the  
>>> University
>>> of Waterloo, he is affiliated with the Scientific Computing Research
>>> Group, the Waterloo Institute for Health Informatics Research, and  
>>> the
>>> Centre for Computational Mathematics in Industry and Commerce.  In
>>> 2005, Prof. Orchard organized a workshop called the "Grand
>>> Mathematical Challenges in Medical Image Processing".
>>> I hope to see you all there.
>>>
>>> A complete schedule can be found at
>>> http://www.cim.mcgill.ca/~langer/CIMArtificialPerception.txt <http://www.cim.mcgill.ca/%7Elanger/CIMArtificialPerception.txt 
>>> >
>>>
>>> -Mike
>>>
>>>
>>>
>>>
>>>
>>
>
>
> -- 
>
> ---------------------------------------------------------------------------
> Tal Arbel, Assistant Professor
> Dept. of Electrical and Computer Engineering		Tel. (514) 398-8204
> Centre for Intelligent Machines				Fax. (514) 398-7348
> McConnell Engineering Building, room 425	                    McGill  
> University					arbel at cim.mcgill.ca
> 3480 University, Montreal, Quebec, Canada H3A 2A7
> http://www.cim.mcgill.ca/~arbel
> = 
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> ======================================================================
>
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>

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