Mar 09, 2016
from 09:00 AM to 05:00 PM
|Where||Isaac Newton Institute for Mathematical Sciences, Cambridge|
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We are currently experiencing many new exciting developments in imaging technology in biology and medicine. New advances in tomographic imaging, such as photoacoustic tomography, electron tomography, multicontrast magnetic resonance tomography (MRT) and combined MR with positron emission tomography (PET), as well as new technology in microscopy such as lightsheet microscopy, only mark the beginning of an era which revolutionises the extent of what we can see.
Aims and Objectives
New imaging technologies however, also bring new challenges to be overcome. In electron tomography for example, the limited angle problem is an intrinsic hardware limitation which results in viewpoint angles in which the imaged specimen cannot be resolved. Dynamic imaging techniques produce huge amounts of image data which require reliable and efficient methods for interpretation and analysis.
This one day meeting therefore aims to bring together those working on advances in imaging technology with researchers who investigate new image analysis methods, to help address these challenges. In particular, there will be a focus on the following topics:
- Big data problems and solutions
- Dynamic imaging
The workshop will facilitate the communication of both current opportunities and challenges of new imaging techniques. It will also allow for the sharing of knowledge on current approaches and solutions of mathematical modelling and analysis approaches, with presentations on industry insights and state-of-the-art mathematical techniques for Big Data Analytics.
This event will be of interest to participants from the biomedical imaging industry, mathematics, engineering, computer science and physics, as well as biology and medicine.
Visit the Event Website for more details and to register
The event is delivered with support from the EPSRC POEMS network and is in partnership with Professor John Aston (Statistical Laboratory), Clare Dyer Smith (Cambridge Big Data Coordinator), Dr Stella Panayotova (Fitzwilliam Museum), Dr Stefanie Reichelt (CRUK ) and Dr Carola-Bibiane Schönlieb (Department of Applied Mathematics and Theoretical Physics).