Published on: 12th May 2017
The medical digital images are routinely collected and archived by the NHS. Such images, especially when linked to other routinely collected health data, are extremely useful for research into areas including: early/preclinical diagnosis, disease progression, validation of treatment methods, development of novel computer vision methods for biomarker extraction, validation of novel algorithms and machine learning approaches and discovery and classification of disease types. Research using routinely collected imaging data for research has historically been under-utilised for many reasons including the impracticality of seeking consent of patients, challenges of de-identification of image data, absence of non-proprietary software for efficient handling this type of “big data” for research.
This project will develop and research innovative informatics methods for the processing of routinely collected images which meets the requirements of data governance and also researchers who wish to utilise the images in secure environments. The project will build upon and existing software suite, the Research Data Management Platform (RDMP) software.
The methods developed will be tested on specific exemplars. The PhD will provide excellent training in applied health informatics and imaging research and software development for research. The project would suit someone from a computer science background.
(This PhD Studentship is funded by the MRC)
We have complementary skills across the translational spectrum from informatics (Dr Emily Jefferson who is the Director of the Health Informatics Centre) to computer vision and data analysis (Professor Emanuele Trucco) and Clinical Imaging (Professor J Graeme Houston).
If you would like to discuss the project then please e-mail: firstname.lastname@example.org