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ALLSTAT  January 2009

ALLSTAT January 2009

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Subject:

REMINDER: RSS HLG meeting in Aberdeen, January 19: John Aston

From:

Claus-Dieter Mayer <[log in to unmask]>

Reply-To:

Claus-Dieter Mayer <[log in to unmask]>

Date:

Fri, 16 Jan 2009 17:45:20 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (49 lines)

SPEAKER: John Aston (University of Warwick)

TITLE: The statistical analysis of PET time courses

DATE: 19 January 2009
TIME: 4pm
VENUE: Room 115 on the first floor of the Health Sciences Building,
Forester Hill campus of Aberdeen University (The Health Sciences
building is beside A on this map
http://www.abdn.ac.uk/central/vcampus/foresterhill/index.shtml and is
building H on this map:
http://www.abdn.ac.uk/central/vcampus/foresterhill/medschool.shtml.
There is a receptionist on the front desk of that building. Parking
immediately beside this building will not be possible. Parking in the
car park off Ashgrove Road West (beside the building marked A) should be
possible at 4pm and the restrictions for on-street parking stop at 4pm.)

ABSTRACT:
Positron Emission Tomography (PET) is a powerful technique for imaging
the human brain. One of its major strengths is that it can examine the
concentration of chemicals in brain regions over time, chemicals
associated with diseases such as Alzheimer's and Parkinson's. However,
in these situations, the measured PET time course is non-linear in
nature and techniques are needed to deal with these non-linearities. In
addition, while PET time courses tend to have a small number (around 30)
measurements in time, there are often several million measurements in
space which comprise the image volume. Therefore, it would seem
advantageous to use the spatial information as well as the temporal
information in the analysis.

This talk will examine various methods of PET time course analysis,
starting at the traditional point-by-point compartmental model, moving
through techniques for model selection, and finally examining recent
results in the use of non-parametric techniques for time course
smoothing. It will be shown that by considering both space and time,
more effective analysis can be achieved.

-- 
***********************************************************************************
Dr Claus-D. Mayer                    | http://www.bioss.ac.uk
Biomathematics & Statistics Scotland | email: [log in to unmask]
Rowett Research Institute            | Telephone: +44 (0) 1224 716652
Aberdeen AB21 9SB, Scotland, UK.     | Fax: +44 (0) 1224 715349
***********************************************************************************

Biomathematics and Statistics Scotland (BioSS) is formally part of The 
Scottish Crop Research Institute (SCRI), a registered Scottish charity 
No. SC006662

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