School of
Information Technology and Electrical Engineering

Speaker: Dr David Alonso-Caneiro
Seminar Date: Mon, 05/02/2018 - 10:00
Venue: 49-502; AEB Seminar Room
Host: Prof Amin Abbosh

Seminar Type:  ITEE Research Seminar

Abstract: 

Optical coherence tomography (OCT) is the only current clinical imaging technology that is able to capture in-depth information of the back of the eye with ultra-high spatial resolution (2 microns). Progress in optical methods in the OCT field has resulted in higher resolution and denser scanning protocols, which have rapidly translated into the current clinical OCT instruments used to image the back of the eye. The rich datasets provided by current instruments introduce a new level of data complexity in the interpretation and analysis of these medical images.  It also creates exciting new opportunities for image processing methods that were not previously possible with older generation technology. Novel computational techniques are therefore required to fully utilize these high-precision images for the monitoring and diagnosis of the health of the eye.

This talk will provide a brief overview on the advances in computational OCT image analysis methods, particularly related to “Structural OCT”, which includes techniques that segment and map the thickness/morphology of the tissue. These methods are rapidly changing the way in which clinicians and scientists evaluate and measure normal eye development and aging, as well as providing a means to detect different eye diseases.

Biography: 

Dr David Alonso-Caneiro is a Senior Research Fellow in the School of Optometry and Vision Science and Institute of Health and Biomedical Innovation at Queensland University of Technology (QUT). He also holds an honorary fellowship appointment at the Lions Eye Institute (WA).

David graduated from the University of Valencia (Spain) with a Bachelor of Engineering degree in Telecommunications with First Class Honours in 2002 and a Master of Engineering in Electronics in 2004. In 2010, he completed his PhD thesis, “Non-invasive Assessment of Tear Film Surface Quality”, developing new techniques to assess the quality of the tear film. The thesis was awarded the QUT Outstanding Doctoral Thesis Award 2010.

A large proportion of his current research work involves commercial research projects in collaboration with Johnson and Johnson Vision Care Inc in the USA. He is also involved in basic and applied research in signal and image processing, especially in the area of biomedical engineering. He aims to continue to develop innovative signal and image processing methods along with novel automated analytical software tools to solve complex clinical problems, and enhance the information and diagnostic capabilities of various clinical devices. David is committed to continuing his strong track record of publication in high impact top-tier journals. To date his research work has led to 37 peer reviewed publications, as well as 15 conference papers. Eighty percent of these papers appear in journals ranked in the top 25% of their field (Scimago Ranking). Since 2008, his work has been cited over 616 times (Google Scholar H-index = 16).