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SCHOOL OF MATHEMATICAL SCIENCES |
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Dr Finbarr O’Sullivan Telephone +353 21 420 5836 |
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The past decade has seen major advances in the technologies for quantitative image data capture in biology and medicine. Increasingly, researchers need to make use of (sequences of) volumetric image data in their work._However, local biologic variability of the image target as well as fundamental restrictions in resolution characteristics (often related to physiology- such as toxicity) produce data that are limited by noise structures. As with a number of fields, advances in instrumentation and data generation capabilities have far out-paced the development of analysis tools that are capable of extracting relevant scientific information from these data. This is especially the case with technologies used for in-vivo imaging studies. There is a critical need to have new techniques capable of making
objective and reproducible quantitative use of the complex information that
in-vivo imaging offers. My research concentrates on the development of
statistical approaches to functional characterization of tissue based on
in-vivo imaging data and the integration of that information into outcome
studies. A range of analytic tools are useful in this work, including approximation,
asymptotics analysis, function and functional inference, inverse theory,
numerical optimization and stochastic modeling. |
Funded by:
Science Foundation Ireland (SFI MI-2007),
National
NIH/NCI CA-42045
and NIH R33 AG031485)