Academic Staff


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8.24 Malet Place Engineering Building

Centre for Medical Image Computing,
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+44 (0) 207 679 7849
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Miscellaneous Information



I obtained the BSc degree in Computer Science from Nottingham University in 1996 and the PhD degree from King's College London in 2000. I then worked in industry in a variety of software development roles. In 2008 I joined UCL and developed novel imaging biomarkers to measure the progress of Alzheimer's disease. I subsequently led the technical development of the NifTK software platform and the Smart Laparoscopic Liver Resection project. In February 2015 I was appointed as a Lecturer of Medical Image Computing within CMIC and the Department of Medical Physics and Biomedical Engineering. I have just joined the Translational Imaging Group to pursue my research in minimally invasive surgery, computer vision, image registration and software architectures to support medical imaging.


Clinical Context

The broader clinical aim of my research is to provide software tools to enhance surgery. This includes tools for surgical planning, accurate real-time guidance, increasing context awareness during surgery and ultimately improving safety and surgical outcomes for the patient.


Research Interests

Since May 2010 I have been the CMIC technical lead for the NifTK software platform, which is an environment for medical image analysis and image guided interventions [1]. This software platform now forms a key component in CMIC's translational imaging strategy [2, 3, 4, 5]. Subsequently in Nov 2012, I was appointed to lead a team of researchers to develop a new system for image guidance in laparoscopic liver surgery [345]. In the UK approximately 1800 liver resections are performed annually for primary or metastatic cancer. This is a major global health problem and 150,000 patients per year could benefit from liver resection. Laparoscopic ("keyhole") resection potentially has significant benefits in terms of reduced pain and complications for the patient and cost savings due to shorter hospital stays. However, only about 10% of patients are considered suitable for laparoscopic liver resection due to the added risks and complexities. Pre-operative imaging modalities such as Computed Tomography (CT) can clearly identify the location of critical vessels and tumours. The aim of this project is to facilitate safer surgery, and to enable a higher percentage of liver resections to be performed laparoscopically. We have built a system that is now undergoing its first trials at the Royal Free Hospital with Prof. Brian Davidson.


A key interest going forward will be in translating image guidance techniques into surgery. This will blend novel algorithm development with delivery of robust software.


I Clarkson Matt-Fig1 I Clarkson Matt-Fig2

NifTK used for image guidance, showing pre-operative CT models of anatomy,

live ultrasound imaging and live laparoscopic HD video.



Module organiser and lecturer

  • MPHYG001: Research Software Engineering with Python
  • MPHYG002: Research Computing with C++



Publication List



Number of publications: 88.















Publications without a recorded date