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SUMMARY:Methods to model and segment novel metabolic imaging in humans - F
 erdia Gallagher\, Medical School
DTSTART:20180615T130000Z
DTEND:20180615T140000Z
UID:TALK104986@talks.cam.ac.uk
CONTACT:Rachel Furner
DESCRIPTION:\n\nClinical imaging increasingly utilises functional and mole
 cular methods that are often more sensitive and specific than conventional
  anatomical approaches at detecting disease and its response to therapy. F
 unctional and molecular imaging is often dimensionally complex and therefo
 re offers opportunities to probe tissue biology in new ways. However\, the
  multidimensionality of the data can present challenges as well as opportu
 nities\, as it is often noisy and acquired at low spatial resolution. This
  presentation will discuss new clinical methods including hyperpolarised c
 arbon-13 MRI for probing tissue metabolism and how this has been applied t
 o the study of the human brain and for cancer imaging. Model and non-model
  based approaches to quantify the data will be discussed. Methods for auto
 mated segmentation have also been used which exploit the multidimensionali
 ty of the data. Ultimately these quantitative approaches could be used as 
 robust methods to study imaging data in routine clinical practice.
LOCATION:MR11\, Centre for Mathematical Sciences
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