About the Project
This work will use the Verasonics research ultrasound imaging platform to interface with commercial and prototype ultrasound probes and together with recent academic developments in machine learning inform and guide development of commercial ultrasound scanners and enhance ultrasound induced Optical Coherent Tomography (OCT) elastography.
The project will have two phases. In the first , the student will make use of research facilities in both IMV and UoD to improve the stages of the ultrasound image generation pipeline by developing, using machine learning, a new algorithm, therefore improve the imaging performance of ultrasound probes across a range of hardware architectures which is of vital importance to IMV Imaging. Using this knowledge, together with the R&D team at IMV Imaging could design a system which uses the bare minimum of resources (hardware channels, processing power, transmitted acoustic power) but provides a similar, or possibly superior, imaging performance to the existing and more costly range of products.
In the second phase, the student will integrate these novel ultrasound techniques with the current OCT developments at the University into a high-resolution, sensitive OCE system and work towards translating into the clinical situation to better improve diagnosis, prognosis and management of particular malignaces and other diseases of skin and subcutaneous tissue.
From this work, the student will obtain a sound, in depth understanding of commercial ultrasound scanners, multifunctional OCT system and of the sophisticated Verasonics research platform and the necessary computing tools including MatLab. They will be required to master the technologies of machine learning and its application. They will develop skills to investigate, compare and report on the effectiveness of novel ultrasound techniques to improve imaging performance of a commercial ultrasound scanner and OCT system.
The proposed research is cross-disciplinary nature and is supervised by a team across engineering, computing and biology.
IMV Imaging, part of the IMV Technologies group, are international leaders in the field of veterinary imaging, where there is a priority of achieving high quality diagnostic images in a short space of time with minimal user input.
The Ultrasound Research Group at the university of Dundee has an established cross-disciplinary research base in combining ultrasound and photonics to investigate the underlying, common physical mechanisms in particular for sono- and optical- elastography for medical diagnosis with strong clinical and industry links.
IMV imaging and the University of Dundee Ultrasound Research Group have an established history of collaboration on innovative and complex projects which rely on the combined expertise of both organisations including a KTP.
The knowledge gap between both partners is on machine learning for ultrasound. Recent fruitful conversations with the University of Dundee Computer Vision and Image Processing (CVIP) group has given this collaboration the potential to be significantly more successful.
Hons degree in Physics/Maths/Engineering at 2.1 or equivalent.
Strong signal processing knowledge
Strong programming knowledge (C, Python, Matlab)
Good lab-based experience
Good approach to planning
Highly self-motivated with a desire to learn
Quick to learn new development tools and technologies
Strong written and verbal communication skills
Desire to work collegiately, be involved in outreach, undertake taught and professional skills study.
Strong Masters level degree or equivalent
Interest in commercial exploitation of ideas
Embedded software development experience
Firmware development experience
Some proficiency with French
The CDT in Applied Photonics provides a supportive, collaborative environment which values inclusivity and is committed to creating and sustaining a positive and supportive environment for all our applicants, students, and staff. For further information, please see our ED&I statement https://bit.ly/3gXrcwg. Forming a supportive cohort is an important part of the programme and our students take part in various professional skills workshops, including Responsible Research and Innovation workshops and attend Outreach Training.
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