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Imaging technology, biomedical image computing & data analysis

Imaging Technology

UCL has a significant track record in developing core imaging technologies in high field MRI, optical imaging and X-ray imaging, with much of this technology feeding directly into the pre-clinical research programme at CABI and translating to clinically based research at the Institute of Neurology (IoN), Institute of Child Health (ICH) and University College Hospitals (within the framework of UCL Partners). Research encompasses:

• high field MRI
• biomedical optics: including near-infra-red imaging, near-infra-red spectroscopy and photoacoustic imaging
• X-ray technologies: including novel approaches to X-ray phase-contrast imaging and digital tomosynthesis.

Imaging Informatics Platforms

Core to the methodological and engineering research performed at UCL is an integrated approach to image information extraction and data analysis. UCL has an internationally leading reputation in this area.

In Neuroscience, the Wellcome Trust Centre for Neuroimaging (formerly the Functional Imaging Laboratory) developed and hosts the widely used SPM package.

The recently formed Centre for Medical Image Computing (CMIC), is a multidisciplinary group bringing together researchers within Computer Science, Medical Physics and Bioengineering, CABI, IoN and ICH.

CMIC are developing a range of software platforms and tools to enhance both the methodological and translational aspects of their wide research programme, many of which are freely available to the research community.

The NifTK platform provides an integrated environment for image analysis, multi-modal imaging, image visualisation, image registration, image segmentation, biomechanical modeling and image reconstruction. As NifTK develops, CMIC are actively engaging collaborations throughout UCL and beyond to become a platform service provider (contact Matt Clarkson).

NifTK comprises NiftyView, NiftyReg, NiftySeg, NiftyRec and NiftySim, briefly described on the CMIC software web pages here. The NifTK project is funded through the UCL/UCLH CBRC.

In addition, the NifTK platform is complemented by the established CAMINO package for diffusion imaging and tractography (contact Prof. Daniel Alexander) and the TOAST package for image reconstruction in diffusion optical tomography (contact Prof. Simon Arridge).

The programme and slides from the Imaging Informatics Platform launch are available.

Training

MSc in Medical Image Computing

UCL Doctoral Training Programme in Medical and Biomedical Imaging

EngD in Virtual Environments, Imaging and Visualisation

SPM short courses