Clarkson, Matthew - University College London - Department of medical physics and biomedical engineering

个人简介

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.

研究领域

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 [3, 4, 5]. 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.

近期论文

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Hu, Y., Kasivisvanathan, V., Simmons, L., Clarkson, M., Thompson, S., Shah, T., ...Emberton, M. (2016). Development and Phantom Validation of a 3D-Ultrasound-Guided System for Targeting MRI-visible Lesions during Transrectal Prostate Biopsy. IEEE Transactions on Biomedical Engineering, Thompson, S.A., Schneider, C., Gurusamy, K., Hawkes, D., Davidson, B., Clarkson, M. (2016). Development, Validation, and Modelling of Image Guidance Systems for Surgery. Presented at: Young Researchers' Futures Meeting Imperial College, London. Thompson, S., Stoyanov, D., Schneider, C., Gurusamy, K., Ourselin, S., Davidson, B., ...Clarkson, M.J. (2016). Hand-eye calibration for rigid laparoscopes using an invariant point. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 11 (6), 1071-1080. doi:10.1007/s11548-016-1364-9 Hill, E.R., Xia, W., Clarkson, M.J., Desjardins, A.E. (2016). Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition. Biomed. Opt. Express, 8 68-77. doi:10.1364/BOE.8.000068 Schneider, C., Johnson, S.P., Walker-Samuel, S., Gurusamy, K., Clarkson, M.J., Thompson, S., ...Desjardins, A.E. (2016). Utilizing confocal laser endomicroscopy for evaluating the adequacy of laparoscopic liver ablation. LASERS IN SURGERY AND MEDICINE, 48 (3), 299-310. doi:10.1002/lsm.22464 Thompson, S., Totz, J., Song, Y., Stoyanov, D., Ourselin, S., Hawkes, D., Clarkson, M. (2015). Accuracy validation of an image guided laparoscopy system for liver resection. Johnsen, S.F., Taylor, Z.A., Han, L., Hu, Y., Clarkson, M.J., Hawkes, D.J., Ourselin, S. (2015). Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. International Journal of Computer Assisted Radiology and Surgery, 1-19. doi:10.1007/s11548-014-1142-5 Song, Y., Totz, J., Thompson, S., Johnsen, S., Barratt, D., Schneider, C., ...Hawkes, D. (2015). Locally rigid, vessel-based registration for laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery, 1-11. doi:10.1007/s11548-015-1236-8 Johnsen, S.F., Taylor, Z.A., Clarkson, M.J., Hipwell, J., Modat, M., Eiben, B., ...Hawkes, D.J. (2015). NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics.. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 10 (7), 1077-1095. doi:10.1007/s11548-014-1118-5 Allan, M., Thompson, S., Clarkson, M., Ourselin, S., Hawkes, D., Kelly, J., Stoyanov, D. (2014). 2D-3D pose tracking of rigid instruments in minimally invasive surgery. Zombori, G., Rodionov, R., Nowell, M., Zuluaga, M., Clarkson, M., Micallef, C., ...McEvoy, A. (2014). A computer assisted planning system for the placement of sEEG electrodes in the treatment of epilepsy. Totz, J., Thompson, S., Stoyanov, D., Gurusamy, K., Davidson, B., Hawkes, D., Clarkson, M. (2014). Fast semi-dense surface reconstruction from stereoscopic video in laparoscopic surgery.. Clarkson, M.J., Zombori, G., Thompson, S., Ourselin, S. (2014). NiftyLink. Clarkson, M.J., Zombori, G., Thompson, S., Totz, J., Song, Y., Espak, M., ...Ourselin, S. (2014). The NifTK Software Platform for Image Guided Interventions. International Journal of Computer Assisted Radiology and Surgery, Scahill, R.I., Ridgway, G.R., Barnes, J., Ryan, N.S., Clarkson, M.J., Foster, J., ...Warren, J.D. (2013). Genetic influences on atrophy patterns in familial AD: a comparason of APP and PSEN-1 mutations. Journal of AD, 35 199-212. doi:10.3233/JAD-121255 Osoria, E., Finnegan, S., Clarkson, M., Timoteo, S., Brandao, I., Roma-Torres, A., ...Bastos-Leite, A. (2013). Usefulness of quantitative registration techniques applied to serial magnetic resonance imaging to assess brain volume changes in anorexia nervosa. Modat, M., Cardoso, M.J., Cash, D.M., Leung, K.K., Clarkson, M.J., Barnes, J., ...Ourselin, S. (2012). A Pipeline for efficient segmentation using a large template library.. Fonteijn, H.M., Modat, M., Clarkson, M.J., Barnes, J., Lehmann, M., Hobbs, N.Z., ...Fox, N.C. (2012). An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.. NEUROIMAGE, 60 (3), 1880-1889. doi:10.1016/j.neuroimage.2012.01.062 Cash, D.M., Melbourne, A., Modat, M., Machado, M., Clarkson, M., Fox, N., Ourselin, S. (2012). Cortical Folding Analysis on Patients with Alzheimer’s Disease and Mild Cognitive Impairment. Rohrer, J.D., Clarkson, M.J., Kittus, R., Rossor, M.N., Ourselin, S., Warren, J.D., Fox, N.C. (2012). Rates of hemispheric and lobar atrophy in the language variants of frontotemporal lobar degeneration.. JOURNAL OF ALZHEIMERS DISEASE, 30 (2), 407-411. doi:10.3233/JAD-2012-111556 Clarkson, M.J., Cardoso, M.J., Modat, M., Ridgway, G.R., Leung, K.K., Rohrer, J.D., ...Fox, N. (2011). A Comparative Study of Voxel and Surface Based Cortical Thickness Methods in Frontotemporal Dementia. Clarkson, M.J., Cardoso, M.J., Ridgway, G.R., Modat, M., Leung, K.K., Rohrer, J.D., ...Ourselin, S. (2011). A comparison of voxel and surface based cortical thickness estimation methods. NeuroImage, 57 (3), 856-865. doi:10.1016/j.neuroimage.2011.05.053 Fonteijn, H., Clarkson, M., Modat, M., Barnes, J., Lehmann, M., Ourselin, S., ...Alexander, D. (2011). An Event-Based Disease Progression Model and Its Application to Familial Alzheimer’s Disease. Leung, K.K., Ridgway, G.R., Clarkson, M.J., Nielsen, C., Ourselin, S., Fox, N. (2011). Automated and consistent brain atrophy estimation using boundary shift integral in longitudinal MRI study. Ridgway, G.R., Lehmann, M., Rohrer, J., Clarkson, M., Warren, J., Ourselin, S., Fox, N. (2011). Balanced sensitivity and specificity on unbalanced data using support vector machine re-thresholding.