13.00 Welcome and introduction of the mentors: Who I am and how I got here
Session 1: Emerging imaging techniques
15:30 Mentor talk
Dr Dimitra Darambara, Royal Marsden NHS Foundation Trust; ICR
15:55 Junior mentor talk
Alex Weller, ICR
16.10 Sarah Bugby (University of Leicester)
Hybrid gamma-optical intraoperative imaging
16.25 Erwin Alles (University College London)
All-optical Ultrasound for Interventional
16.40 Elisenda Bonet-Carne (University College London)
AMICO-VERDICT: Ultrafast fitting algorithm for cancer microstructure characterization - a prostate cancer application
16.55 Marco Endrizzi (University College London)
Scanning multi-modal X-ray phase-contrast for breast imaging
17.10 Session discussion
17.30 Close (check into rooms and free time)
19.00 Informal dinner and introduction to networking with delegate posters
Session 2: Robotics and image guidance
09.00 Mentor talk
Professor Guang-Zhong Yang FREng, Imperial College London
09.25 Junior mentor talk
Stamatia (Matina) Giannarou, Imperial College London
09.40 Adrian Bradu (University of Kent)
Master Slave Optical Coherence Tomography, a novel tool for Medical Imaging
09.55 Jyotirmoy Banerjee (University College London)
Fast 4D Ultrasound Registration of the Liver for Image Guidance in TIPS Procedure
10.10 Petros Giataganas (Imperial College London)
Intraoperative robotically assisted endomicroscopy for tumour margin identification
10.25 Menglong Ye (Imperial College London)
Real-time Optical Biopsy Retargeting for Probe-based Confocal Laser Endomicroscopy in Gastrointestinal Endoscopic Examinations
10.40 Session discussion
Session 3: Industrial and clinical translation
11.30 Mentor talk
Dr Antonis Kalemis, Philips Healthcare
11.55 Junior mentor talk
Daniel Leff, Imperial College London
12.10 Gregory Melia (University of York)
Three-Dimensional Mapping of Early-Stage Tumours using Passive Thermal Microwave Detection
12.25 Bartlomiej Papiez (University of Oxford)
Respiratory motion estimation for cancer imaging applications
12.40 Ester Bonmati (University College London)
Image-guided endoscopic ultrasound using electromagnetic tracking for the diagnosis and treatment of pancreatic lesions
12.55 Daniele Ravì (Imperial College London)
Hyperspectral Imaging for Brain Cancer
13.10 Session discussion
Session 4: Clinical applications
14.00 Mentor talk
Dr Shonit Punwani, University College London; University College London Hospital
14.25 Junior mentor talk
Eleftheria (Laura) Panagiotaki, University College London
14.40 Fulvio Zaccagna (University of Cambridge)
23Na-MRI in glioblastoma as a tool of assessing tumour microenvironment and heterogeneity: initial results
14.55 George Gordon (University of Cambridge)
A phase- and polarisation-sensitive endoscope for early detection of oesophageal cancer
15.10 Adrian Ghita (University of Exeter)
Non-invasive detection of calcifications deep inside biological tissue using Transmission Raman spectroscopy
15.25 Matthew Grech-Sollars (Imperial College London)
18F-fluoromethylcholine PET/CT and proton magnetic resonance spectroscopy; imaging and tissue biomarkers of cell membrane turnover in primary brain gliomas – a pilot study
15.40 Session discussion
16.20 Insight to industry
Norman Smith, Vision RT
16.35 Insight into clinical needs
Professor Shervanthi Homer-Vannaisinkam, University of Leeds Medical School; University of Warwick Medical School & University Hospitals Coventry and Warwickshire NHS Trust; UCL
16.50 Focused discussions groups
- Attendees will divide into small groups with the speakers and mentors.
- All six junior mentors will be present to talk with the delegates about their own career experiences.
- Each group will have a particular focus:
- Starting up and growing a company - Norman Smith
- Collaborating with industry - Antonis Kalemis
- Clinical engagement - Shervanthi Homer-Vannaisinkam and Shonit Punwani
- Working across disciplines - Dimitra Darambara and Uwe Oelfke
- Academia - Dave Hawkes and Guang-Zhong Yang
17.50 Wrap up
18.00 Close (free time)
19.30 Dinner at 170 Queens Gate
Dinner speech by Norman Smith, Vision RT
Session 5: Radiotherapy and image guidance
09.00 Mentor talk
Professor Uwe Oelfke, Royal Marsden NHS Foundation Trust; ICR
09.25 Junior mentor talk
Martin Fast, ICR
09.40 Michela Esposito (University of Lincoln)
CMOS Active Pixel Sensors for imaging in proton radiotherapy
09.55 Fenglei Zhou (University of Manchester)
Tumour cell mimicking polymeric microspheres for diffusion magnetic resonance imaging
10.10 Stephen Thompson (University College London)
Development, Validation, and Modelling of Image Guidance Systems for Surgery
10.25 Session discussion
11.00 Break and feedback (questionnaires circulated for delegates’ feedback)
Session 6: Image guided surgery and intervention
11.15 Mentor talk
Professor Dave Hawkes FREng, University College London
11.40 Junior mentor talk
Danail Stoyanov, University College London
11.55 Sharon Giles (Royal Marsden NHS Foundation Trust)
MR guided High Intensity Focused Ultrasound (MRgHIFU) for pain palliation of bone metastases: preliminary experiences
12.10 Ninon Burgos (University College London)
Joint segmentation and CT synthesis in the pelvic region for MRI-only radiotherapy treatment planning
12.25 Davide Volpi (University of Oxford)
Towards molecular imaging in oncology using fluorescence-guided surgery
12.40 Alexander Dudgeon (University of Exeter)
A Fibre-Optic Raman Needle Probe for In Vivo Cancer Diagnostics
12.55 Session discussion
13.30 Wrap up
Dr Dimitra Darambara
Dimitra Darambara leads the Multimodality Molecular Imaging team at the Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. She is developing and implementing novel molecular imaging technologies and techniques for the detection and characterisation of cancer and its response to treatment. Dr Darambara is a detector physicist who started her career at CERN building a calorimeter for quark-gluon plasma and finally moved to medical physics to translate basic science to routine clinical practice.
Professor Dave Hawkes
Dave Hawkes founded and directed the UCL Centre for Medical Image Computing from 2005-2014, previously having been Director of the EPSRC and MRC funded Interdisciplinary Research Collaboration on Medical Images and Signals (MIAS-IRC), an £8M six year programme, from 2003 to 2007 and Chairman of the Division of Imaging Sciences at KCL (2002-2004). He spent 10 years working as a clinical scientist within the NHS before returning to academia. His current research interests encompass image matching, data fusion, visualisation, shape representation, surface geometry and modelling tissue deformation promoting medical imaging as an accurate measurement tool and image guided interventions.
Dr Antonis Kalemis
Antonis Kalemis is a Senior Manager at Phillips. In his current role, he identifies and helps develop clinical value for Philips Molecular Imaging products and applications, together with external research collaborations. He is intimately involved in the European trade association for molecular imaging which focuses on promoting the adoption of molecular imaging techniques in different healthcare settings. Antonis has an interest in Molecular imaging (PET & SPECT) and has previously worked in neuroimaging. He has several years of experience in medical imaging quality, data acquisition, image reconstruction and analysis.
Professor Uwe Oelfke
Prof Uwe Oelfke is Deputy Head of the Division of Radiotherapy and Imaging at the Institute of Cancer Research (ICR). He is also Head of the Joint Department of Physics (ICR and RMH) and Team Leader for the Radiotherapy Physics Modelling Group (ICR). Professor Uwe Oelfke is combining recent developments in cancer biology, cancer therapeutics and medical physics in order to improve radiotherapy treatment and planning. Professor Oelfke has had a varied career spanning theoretical nuclear physics and finally medical physics.
Dr Shonit Punwani
Shonit Punwani is a Senior Lecturer in Oncological Imaging at University College London and Honorary Consultant Radiologist specialising in oncological radiology at University College London Hospital (UCLH). He has an additional postgraduate qualification in MRI Physics and is responsible for the 3T MR Research Facility at UCLH, which is developing novel MRI techniques for first-in-man oncological imaging studies. He has a specialist clinical and research interest in the application and development of quantitative functional MRI for the detection and monitoring of prostate cancer and its treatments.
Dr Norman Smith
Dr. Norman Smith graduated from Cambridge University in Electronic Engineering; he then moved to Imperial College where he completed an MSc in Biomedical Engineering and a PhD in 3D Medical Image Processing for Image Guided Surgery, in conjunction with Smith & Nephew plc. He has several years of experience in software development and medical imaging, and has been the commercial driver of Vision RT in all key areas of the business since its inception. Dr. Smith is a Fellow of the Institute of Engineering and Technology, co-founder of Vision RT and is named inventor on several patents.
Professor Guang-Zhong Yang
Guang-Zhong Yang is Director and Co-founder of the Hamlyn Centre for Robotic Surgery, Deputy Chairman of the Institute of Global Health Innovation, Imperial College London, UK. His main research interests are in medical imaging, sensing and robotics. In imaging, he is credited for a number of novel MR phase contrast velocity imaging and computational modelling techniques that have transformed in vivo blood flow quantification and visualization. He pioneered the concept of perceptual docking for robotic control, which represents a paradigm shift of learning and knowledge acquisition of motor and perceptual/cognitive behaviour for robotics, as well as the field of Body Sensor Network (BSN) for providing personalized wireless monitoring platforms that are pervasive, intelligent, and context-aware.
Dr Martin Fast is a post-doctoral researcher specialising in motion mitigation strategies and adaptive radiotherapy. In his current role at The Institute of Cancer Research in London (UK), Dr Fast’s responsibilities include dynamic multi-leaf collimator tracking and online dose reconstruction. Dr Fast developed novel methods for x-ray based estimation of intra-fractional motion during his PhD studies at the German Cancer Research Center in Heidelberg (Germany). During his studies he has also spend time in Thunder Bay (Canada) and Adelaide (Australia).
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 object recognition 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 at the Hamlyn Centre for Robotic Surgery, Imperial College London, UK. Her main research interests include visual recognition and surgical vision.
Daniel is currently a Clinical Senior Lecturer working in the Departments of BioSurgery and Surgical Technology and Hamlyn Centre for Robotic Surgery at Imperial College London. He is an Honorary Consultant in Oncoplastic Breast Surgery working within the Breast Unit at Imperial College Healthcare NHS Trust. Daniel received his PhD in Surgery from Imperial College London in 2009, working under the supervision of Professor Lord Ara Darzi and Professor Guang-Zhong Yang. Daniel's primary research interest is in the field of "surgical neuroergonomics" - optimising clinical performance through investigations of brain function in surgeons. He also pursues robotics, imaging and biosensing technology research geared to improving outcomes following breast conserving surgery and reconstructive breast surgery.
Dr Eleftheria (Laura) Panagiotaki studied mathematics at the University of Crete (2000-2005), followed by an MSc in Vision, Imaging and Virtual Environments at University College London (2006-2007). Afterwards, she pursued a PhD in medical imaging at UCL, developing brain models of diffusion Magnetic Resonance Imaging (MRI) (2007- 2011). Near the end of her PhD project, she wrote a successful proposal to EPSRC’s Doctoral Prize scheme (2011-2012) to investigate cancer and continue research as a postdoc in CMIC, working in the Microstructure Imaging Group. Now Laura holds an EPSRC Early Career Fellowship that uses computational and mathematical modelling to design MRI methods to establish new non-invasive tumour biomarkers.
Dr Danail Stoyanov is a Reader at UCL and Programme Director for the MSc in Robotics and Computation. He received his BEng degree in electronics from King's College London, UK, in 2001, and a PhD degree in medical image computing from Imperial College London, UK, in 2006. he was a Royal Academy of Engineering Research Fellow between 2009 and 2014 during which time Danail joined the Centre for Medical Image Computing and the Department of Computer Science, UCL, where he leads the Surgical Robot Vision Group. His main research interests include computer vision, medical image computing, medical robotics and image-guided surgery. He is an associate editor for the IEEE Robotics and Automation Letters and a deputy editor for the International Journal in Computer Assisted Radiology and Surgery as well as regularly being involved in the committees for MICCAI and IPCAI.
Alex is currently a Clinical Research Fellow in Radiology, working in the Department of Radiotherapy and Imaging at The Institute of Cancer Research, London. He is an Honorary Clinical Fellow in the Department of Radiology at the Royal Marsden Hospital NHS Trust. After completing a Masters in neutron scattering for the interrogating long range structure within colloid solutions at liquid interfaces (at Keble College Oxford), Alex studied medicine and is currently completing a Medical Doctorate. His primary research interests are in novel MRI and PET biomarkers for assessing treatment response and treatment effects in lung cancer. As part of this he is pursuing novel PET tracers and functional MRI for imaging immunotherapy treatment effect, aimed at improving patient selection and dosing regimens before and during immunotherapy +/- radiotherapy for lung cancer.