Dr James Avery
the Department of Surgery and Cancer, St Mary's Hospital Imperial College UK.
Translating Engineering to Healthcare
In healthcare applications, we have no choice but to be non-destructive! While commonly not considered in the same terms as ENDE, related techniques are used throughout medicine, taking advantage of the dielectric properties of biological tissues. This talk considers Electromagnetic sensing and imaging from a biomedical perspective, from tracking surgical tools, medical robotics, implantable sensors, neuroscience, tomographic imaging and spectroscopy.
There are numerous challenges when transferring something from the bench to the bedside, some more prosaic such as cost, size and time restrictions, to the technical challenges of low SNR, poor contrast and ill-conditioned inversions. Overcoming these hurdles requires multidisciplinary development of instrumentation, signal processing and modelling. In this outline the latest developments in these areas are discussed along with personal experience.
Dr James Avery is a Research Associate in the Hamlyn Centre, Institute of Global Health Innovation and the Department of Surgery and Cancer, St Mary's Hospital Imperial College UK. He received an MEng in Acoustical Engineering at the Institute of Sound and Vibration Research at the University of Southampton and completed his PhD in Biomedical Engineering at University College London in 2015. There he continued his work as an EPSRC Doctoral Research Fellow, developing Electrical Impedance Tomography methods for brain imaging as part of Prof. Holder’s Neurophysiology lab. Clinical studies during this time brought into sharp focus the benefits that good, open and reproducible engineering can have for patients and strengthened his desire to translate his work into clinical practice. Since 2018 he has worked as a postdoctoral researcher at the NIHR Imperial Biomedical Research Centre, seeking to develop new sensor technologies for surgery.
Prof Jiming Song
the Department of Electrical and Computer Engineering, Iowa State University,
Ames, Iowa, USA
Adaptive Cross Approximations for Eddy Current Nondestructive Evaluations
Eddy current nondestructive evaluation (NDE) involves the detection of electromagnetic field irregularities due to non-conducting inhomogeneities in an electrically conducting material such as cracks, fasteners, sharp corners/edges, multi-layered structures, etc. The eddy-current problem is formulated by the boundary integral equations (BIE) and discretized into matrix equations by the method of moments (MoM) or the boundary element method (BEM). Computational tests are performed to demonstrate the accuracy and capability of the BIE method with a complex wave number for three-dimensional objects described by a number of triangular patches. Finally, our most recent research results on developing adaptive cross approximation (ACA) to accelerate the impedance calculations for NDE applications will be presented.
Jiming Song received PhD degree in Electrical Engineering from Michigan State University in 1993. From 1993 to 2000, he worked as a Postdoctoral Research Associate, a Research Scientist and Visiting Assistant Professor at the University of Illinois at Urbana-Champaign. From 1996 to 2000, he worked part-time as a Research Scientist at SAIC-DEMACO. Jiming Song was the principal author of the Fast Illinois Solver Code (FISC). He was a Principal Staff Engineer/Scientist at Semiconductor Products Sector of Motorola in Tempe, Arizona before he joined Department of Electrical and Computer Engineering at Iowa State University as an Assistant Professor in 2002. Jiming Song currently is a Professor at Iowa State University’s Department of Electrical and Computer Engineering. His research has dealt with modelling and simulations of interconnects on lossy silicon and RF components, electromagnetic wave scattering using fast algorithms, the wave propagation in metamaterials, acoustic and elastic wave propagation and non-destructive evaluation, and transient electromagnetic field. He received the NSF Career Award in 2006 and is an IEEE Fellow and ACES Fellow.