Tagged / IMIV

The Institute of Medical Imaging and Visualisation (IMIV): getting involved with this SIA enabled initiative

The Institute of Medical Imaging & Visualisation (IMIV) has come to fruition thanks to a central University strategic investment and support from the Dorset LEP Growth Fund. A cross University team, and a series of new appointments, have worked tirelessly over the past two years to turn the concept into a reality. Having overcome the challenges presented by the COVID-19 pandemic, the Institute will shortly be opening its doors to progress the strategic priorities of the Institute.

Some of the first projects that will utilise the MRI scanner at the heart of the institute, stem from the internal pump priming scheme announced in late 2020 and include:

  • a project to investigate alterations in functional connectivity following therapeutic cold-water immersion (led by Professor Hana Burianova)
  • a study investigating the brain networks involved when two people work together responding to visual targets (led by Dr Xun He)
  • the investigation of a novel, cost-effective and non-invasive therapeutic intervention for individuals with Type 2 Diabetes Mellitus (led by Dr Rebecca Rendell) and
  • a group of lumbar spine 3-D scans to inform future grant applications for studies into intervertebral loading during spinal motion using MRI and our niche fluoroscopy technology (led by Professor Alan Breen).

Projects are also planned by Professor Carol Clark exploring the impact of sub-concussion on footballers and a pilot study on the feasibility of using abbreviated MRI for liver cancer screening for at-risk patients, led by Anmol Gangi and Dr Jamie Franklin.

Of course, the possibilities for research relating to advanced imaging are endless. As this article from the Chan Zuckerberg initiative articulates, the past, present and future of medical imaging is a truly fascinating endeavour, with endless possibilities for the future through interdisciplinary collaboration.

To forward future research, the IMIV team welcomes research collaboration ideas and colleagues across BU to access the research facilities housed by the institute. To learn more, read about IMIV on BU’s website or contact the core team directly on: IMIV@bournemouth.ac.uk

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

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.