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Big Data, Multimodality & Dynamic Models in Biomedical Imaging


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9th March 2016


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. New imaging technology always goes side by side with the need of mathematical models to maximise the information gain from these novel imaging techniques. For instance, previously tomographic imaging and light microscopy were separate imaging modalities, which were difficult to cross correlate. However, rapid development of new imaging hardware (light sheet, polarized PET, MRI), is now opening up new avenues for translational multimodal imaging. These developments are supported by sophisticated and rigorous mathematical models, which enhance the information in one imaging modality with information from another.

Please note, this workshop is nearly fully subscribed. To be offered a place, please contact Clare Merritt at the TGM.

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
  • Multimodality
  • 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.

More information is available from the Turing Gateway to Mathematics, who are hosting this event.

University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons