Tagged / medical

Academic Targeted Research Scheme (Data Science for Medical Imaging and Visualisation): Medical Image Analysis

BU research, Research news

My name is Adrian Galdran, and I was appointed as a Senior Lecturer in Data Science for Medical Imaging last November, in the context of BU’s Academic Targeted Research Scheme. Although I am particularly interested in medical image analysis, I have a broad interest in medical data taking any shape and nature, be it text, imaging, video, or even big tables filled with numbers!

I have been working on computer vision with medical applications for a while now. After earning my PhD in the Basque Country University (northern Spain), I headed to the beautiful Porto, where I spent two years as a postdoctoral fellow at INESC-TEC. In those years I focused a lot on the automatic analysis of images of the eye fundus. These are images acquired by projecting light into the back of the eye and capturing a picture of the retina, and they are useful for the early detection of diseases like Diabetic Retinopathy or Age-Related Diabetic Maculopathy.

An image of the eye fundus – the retina

When a person suffers from this kind of diabetes, retinal vessels start to hemorrhage and leak blood into the retina, which at first starts as micro-aneurysms, but later develops into larger lesions and leads to sight-threatening situations. I find it fascinating that we can diagnose diseases like diabetes by looking into the human retina.

After my stay in Portugal, I moved for a second postdoctoral experience to Montréal, Canada, where I worked on deep learning for medical image classification and segmentation, again with a focus on retinal imaging. I spent one year in Canada, with its rough winter and a wonderful summer. It was then that I received the offer to pursue my research within BU, in the context of the new Medical Imaging and Visualisation Institute (IMIV). I am very excited to collaborate with this new institution, which houses an MRI scanner and ultrasound devices. I expect that the privilege of having access to these advanced facilities will trigger research in medical image analysis at BU, and I am hoping to be part of it.

If you are interested in collaborating in any aspect of medical image analysis, please contact me to discuss any common project we may build.

BU and Precision Acoustics work together on high-impact NDT software programme

Awarded & submitted bids, BU research, Business Engagement, Fusion, Knowledge Exchange, Knowledge Transfer, Knowledge Transfer Partnership, Research news

Aircraft engines

It is estimated that some 30% of airline engines worldwide are analysed using PA’s current-generation technologies to detect fan blade defects

A team from the Faculty of Science and Technology, led Professor Siamak Noroozi and Dr Richard Gunstone, have successfully obtained a Grant Offer Letter (GOL) for a high-impact KTP working with Precision Acoustics Limited (Dorset).

In this blog post we discuss some of the background to this KTP, and objectives.

Precision Acoustics (PA) manufactures acoustic measurement products for the medical and Non Destructive Testing (NDT) industries and is well established as a major supplier of equipment for the (MHz) ultrasound markets world-wide. PA has a close working relationship with the National Physical Laboratory, London, and academic establishments across the UK to further R&D.

The company’s core products are acoustics measuring devices. The company already has a significant share of the world market in this area, and is now embarking on innovative industrial NDT systems working on a number of precursor projects including with Rolls Royce. The longer term objective can only be achieved if PA introduces a software capability able to devise, maintain and develop a development process that has the expected attributes of resilience, performance and integrity, supporting product deployment. This is the principal focus for the KTP, capitalising on the capability in systems design, software, and assurance within BU.

The diagnostic systems work at PA are being developed and used in numerous applications, including malaria detection. It is estimated that some 30% of commercial airliners globally use the technologies developed by PAL for analysing defects in engine fan blades, for example. Due to the inherent nature of NDT systems and the potential application areas, these application areas are likely to have societal relevance and high-impact.

A great deal of effort has been spent in designing the project to be flexible and comprehensive. This has been made possible by the capable contribution of Norman Stock, the Faculty Business Relations Officer. He has worked closely with the academic staff and also the company to present a suitable proposal to Innovate UK, who are part-funding the collaboration.

In terms of project design, the KTP incorporates the new “KTP laydown” of an integrated MRes opportunity for the Associate, combined with expectations of research activity leading to co-authored papers. This provides a route for knowledge transfer of expertise from the university to the company, in a way that delivers advantages for all stakeholders.

We look forward to providing further reports on our collaboration with PA as time progresses.

In terms of advice for others considering KTP funding, Richard highlights a few relevant points:

“Engage early with the Business Relations Officer for your Faculty. Make sure deadlines are adhered to, including submission windows with Innovate UK. Finally, clarify the project plan as early as possible, including what is achievable in the project timescale – scoping is key”