Computing Technologies for Healthcare - School of Computing Science
Date: Wednesday 16 March 2022
Time: 15:00 - 16:45
Venue: https://uofglasgow.zoom.us/meeting/register/tJwsduqhrDwiHtdMKCADLEHgdNagRGveehZr
Category: Public lectures, Academic events, Student events, Alumni events
Speaker: Dr. Stamatia Giannarou, Imperial College London

This is a special session organised on behalf of the Computing Technologies for Healthcare Theme and the Athena Swan. The session includes:

  • Research talk and Q/A (60 minutes)
  • Discussion on career progression and fellowships (45 minutes) 

Registration is required:  https://uofglasgow.zoom.us/meeting/register/tJwsduqhrDwiHtdMKCADLEHgdNagRGveehZr

Consider subscribing to our emailing list: https://samoa.dcs.gla.ac.uk/events/series.jsp?series=179 

Abstract: With recent advances in medical imaging and surgical robotics, surgical oncology is entering a new era that is set to bring major healthcare and socio-economic benefits. The main goal of surgical oncology is to achieve complete resection of cancerous tissue with minimal iatrogenic injury to surrounding tissue. In practice, this often presents a formidable challenge to surgeons. Surgery on tumours residing within the brain is particularly demanding, and the prognosis for patients afflicted with such tumours remains very poor. Intrinsic brain tumours are highly infiltrative making it difficult to distinguish tumour tissue from surrounding tissue. Moreover, it is imperative to preserve unaffected brain tissue, which is delicate, often eloquent, and has little capacity for regeneration.

The aim of my research is to integrate multimodal intraoperative imaging and navigation technologies into a cognitive robotic platform. In this talk, I will present an intraoperative vision system for surgical navigation and real-time tissue characterisation during robot-assisted neurosurgery to improve both the efficacy and safety of tumour resections. The focus will be on the recovery of 3D morphological structures in the presence of tissue deformation, the efficient robot-assisted tissue scanning with imaging probes and the tissue characterisation for on-line diagnosis support.

Biosketch: Stamatia (Matina) Giannarou received the MEng degree in Electrical and Computer Engineering from Democritus University of Thrace, Greece in 2003, the MSc degree in communications and signal processing and the Ph.D. degree in image processing from the department of Electrical and Electronic Engineering, Imperial College London, UK in 2004 and 2008, respectively. Currently she is a Royal Society University Research Fellow and a Lecturer in Surgical Cancer Technology and Imaging at the Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK. Her research focuses on enhanced surgical vision for intraoperative navigation in minimally invasive and robot-assisted operations. In 2017, she won “The President’s Award for Outstanding Early Career Researcher” at Imperial College London. She has been selected as a member of the IdeasLab of Imperial College London on the “Frontiers of Imaging” at the World Economic Forum Annual Meeting of the New Champions 2016 in Tianjin, China. She received best paper awards at international conferences and workshops including the IPCAI 2016, AE-CAI-MICCAI 2020, IPCAI 2020, AE-CAI-MICCAI 2021. She has also been invited to present her work at a number of international workshops and symposia. She is a regular reviewer for high impact journals and conferences in the fields of medical robotics, medical imaging and biomedical engineering and the chair of the annual Hamlyn Winter School on Surgical Imaging and Vision.

More information