News

health 2082630

A free workshop led by Dr Prashant Jha taking place during the November reading week.

 

In July 2017 we were delighted to welcome Dr Dan Marcus from Washington University to work with the Translational Imaging Group on a 5 month research placement.

 

Dan is Director of the Neuroinformatics Research Group (NRG), the Neuroimaging Informatics and Analysis Centre and the Director of XNAT from the NRG lab, all at Washington University.

Dan is one of our long-term collaborators and his groups XNAT system is being used for much of the groups research output. XNAT allows us to build and test image processing pipelines which enable the development of robust code for novel algorithms which help diagnose and treat conditions such as Alzheimer’s, epilepsy and more.

XNAT is an imaging informatics platform first released in 2004, and we wanted to hear more from the researcher who helped to develop this pioneering tool responsible for over 13 years of safe medical data sharing.

 

We are excited to announce that NiftyNet, the first open-source deep-learning software library dedicated to medical imaging, has been released and is available for anyone to use.

 

NiftyNet is a convolutional neural networks (CNNS) platform for research in medical image analysis and image-guided therapy, and its modular structure is designed for sharing networks and pre-trained models. It currently supports medical image segmentation and generative adversarial networks.

 

Screen_Shot_2017-09-04_at_16.16.45.pngGIFT-Surg had a successful meeting presenting work at the International Federation of Placenta Associations (IFPA) meeting this year in Manchester presenting work on both placental microCT and placental MRI.

The cooperation between clinicians and engineers is a key condition to delivering healthcare engineering innovations. Dr Carole Sudre (UCL, London) and Dr Beatriz Gómez-Ansón (Hospital de Sant Pau, Barcelona) teamed up to develop more efficient medical imaging assessment.

 

From raw data to novel diagnosis techniques 

Big data and machine learning are often seen as having great potential for innovation in the medical sector. But what’s the path from building databases to revolutionising medical diagnosis?

mrmcover

 

The Translational Imaging Group, in collaboration with the Queen's Square Multiple Sclerosis Centre, recently published work in Magnetic Resonance in Medicine on spinal cord T1 mapping. 

mrmcover

 

The Translational Imaging Group, in collaboration with the Queen's Square Multiple Sclerosis Centre, recently published work in Magnetic Resonance in Medicine on an optimized framework for qMT on spinal cord. 

We would like to offer our congratulations to Zach Eaton-Rosen who has recently been awarded an Engineering and Physical Sciences Research Council (EPSRC) Doctoral Prize. This scheme supports a two-year fellowship for exceptional early-career researchers. 

Zach is a PhD graduate of the EPSRC Centre for Doctoral Training in Medical Imaging (CDT) at UCL, during which time he secured a four-month placement at Harvard Medical School working on infant MRI data collected from a preterm cohort and developing novel imaging algorithms that aimed to predict their future health. This supported Zach’s progression to a fellowship and post-doctoral research associate position within the Translational Imaging Group (TIG).