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The University of Southampton
Computationally Intensive Imaging

Overview of musculoskeletal computational imaging and modelling at CISTIB, University of Sheffield Event

Origin: 
Institute for Life Sciences
Spine segmentation
Time:
16:00 - 17:00
Date:
16 June 2016
Venue:
University of Southampton, Highfield Campus, Life Sciences Building 85, Room 2207

For more information regarding this event, please email Philipp Schneider or Adam Corres at IfLSAdmin@soton.ac.uk .

Event details

An IfLS Imaging Seminar presented by Professor Alejandro F Frangi, Director of the Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB)

 

Abstract: In this talk I will provide an overview on research we are carrying out at the Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB) in the context of musculoskeletal image analysis. Our research emphasis lies in the development of advanced methods at the interface between imaging and modelling. We develop new image-based modelling as well as new model-based imaging and image analysis methods. In addition, we are interested in addressing the challenge of large-scale image analytics to extract imaging biomarkers from population imaging resources like the UK Biobank or contribute to in silico clinical trials of medical devices in virtual populations of patient-specific models. The talk will provide both an overview of our vision as well as some of the specific projects and steps we are taking in this arena.

Bio sketch: Alejandro (Alex) was born in La Plata, Argentina. In 1991 he moved to Barcelona, Spain, where he obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. He subsequently carried out research on electrical impedance tomography for image reconstruction and noise characterization at the same institution under a CIRIT grant. In 1997 he obtained a grant from the Dutch Ministry of Economic Affairs to pursue his PhD at the Image Sciences Institute (www.isi.uu.nl) of the University Medical Center Utrecht on model-based cardiovascular image analysis. During this period he was visiting researcher at the Imperial College in London, UK, and in Philips Medical Systems BV, The Netherlands.

Dr. Frangi is Professor of Biomedical Image Computing at the University of Sheffield (USFD), Sheffield, UK. Before, he was Associate Professor at Universitat Pompeu Fabra (UPF) and ICREA-Academia Researcher (www.icrea.cat). He currently leads the Center for Computational Imaging & Simulation Technologies in Biomedicine (www.cistib.org). CISTIB is part of INSIGNEO Institute for in silico Medicine, a joint initiative between USFD and the Sheffield Teaching Hospitals Foundation Trust to realise the scientific ambition behind the Virtual Physiological Human (VPH), producing a transformational impact on healthcare. His main research interests are in medical image computing, medical imaging and image-based computational physiology.

Prof Frangi has been principal investigator or scientific coordinator of over 20 national and European projects, both funded by public and private bodies. During 1/2006-3/2010 he was coordinator of the @neurIST (www.aneurist.org), a 12.6M€ European Integrated Project, during 1/2006-12/2009 he was scientific co-PI for the Spanish CENIT Technology Platform CDTEAM (www.cdteam.org) funded with 15.7M€ by the Spanish Ministry of Science and Innovation through CDTI, in 2009-2012 he took part of the euHeart (www.euheart.eu) Integrated Project, in 2009-2012 in the Virtual Physiological Human Network of Excellence (www.VPH-noe.eu), and in 2009-2012 he was Scientific Coordinator of the CENIT Technology Platform cvREMOD (www.cvremod.com) funded with 13.6M€ by the Spanish Ministry of Science and Innovation through CDTI. He currently coordinates the € 13.3m-Integrated Project funded by the European Commission entitled VPH-DARE@IT DementiA Research Enabled by IT (www.vph-dare.eu), led by the University of Sheffield and involving other 19 European organizations. Finally, he has been recently awarded a £ 1.3m grant as Principal Investigator from the UK Engineering and Physical Sciences Research Council (EPSRC) for the project OCEAN: One-stop-shop Microstructure-sensitive Perfusion/Diffusion MRI: Application to Vascular Cognitive Impairment (www.ocean-mri.org). He is also one of the 5 co-investigators in the recently awarded EPSRC-NIHR HTC Partnership Award 'Plus': Medical Image Analysis Network (MedIAN) led by Oxford.

Prof Frangi has edited a book, published 6 editorial articles and over 160 journal papers in key international journals of his research field and more than over 200 book chapters and international conference papers with an h-index 43 and a total of over 14,500 citations according to GoogleScholar. He has been three times Guest Editor of special issues of IEEE Trans Med Imaging, one on IEEE Trans Biomed Eng, and one of Medical Image Analysis journal. He was chair of the 3rd International Conference on Functional Imaging and Modelling of the Heart (FIMH05) held in Barcelona in June 2005, Publications Chair of the IEEE International Symposium in Biomedical Imaging (ISBI 2006), Programme Committee Member of various editions of the Intl. Conf. on Medical Image Computing and Computer Assisted Interventions (MICCAI) (Brisbane, AU, 2007; Beijing CN, 2010; Toronto CA 2011; Nice FR 2012; Nagoya JP 2013), International Liaison of ISBI 2009, Tutorials Co-Chair of MICCAI 2010, and Program Co-chair of MICCAI 2015. He was also General Chair for ISBI 2012 held in Barcelona.

Prof Frangi is Associate Editor of IEEE Trans on Medical Imaging, Medical Image Analysis, SIAM Journal Imaging Sciences, Computer Vision and Image Understanding, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization and Recent Patents in Biomedical Engineering journals. Prof Frangi was foreign member of the Review College of the Engineering and Physical Sciences Research Council (EPSRC, 2006-10) in UK, is a recipient of the IEEE Engineering in Medicine and Biology Early Career Award in 2006, the ICT Knowledge Transfer Prize (2008) and two Teaching Excellence Prizes (2008, 2010) by the Social Council of the Universitat Pompeu Fabra. He also was awarded the UPF Medal (2011) for his service as Dean of the Escuela Politècnica Superior. He was awarded the ICREA-Academia Prize by the Institució Catalana de Recerca i Estudis Avançats (ICREA) in 2008. Prof Frangi is an IEEE Fellow (2014), EAMBES Fellow (2015), SPIE Member, SIAM Member, MICCAI Member, and elected member to the Board of Directors of the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society (2014-2018). Prof Frangi serves in the Scientific Advisory Board of the European Institute for Biomedical Imaging Research (EIBIR).

Under his leadership, CISTIB develops GIMIAS (Graphical Interface for Medical Image Analysis and Simulation, www.gimias.org), an open-source platform for the rapid development of pre-commercial software prototypes in the areas of image computing and image-based computational physiology modelling. The research and development conducted in his research group led to two spin-off companies (Clintelis S.A. 2009 and GalgoMedical S.A. 2013).

Related publications:

Special issue on medical imaging and image computing in computational physiology. Frangi AF, Hose DR, Hunter PJ, Ayache N, Brooks D. IEEE Trans Med Imaging. 2013 Jan;32(1):1-7.

Statistical shape and appearance models in osteoporosis. Castro-Mateos I, Pozo JM, Cootes TF, Wilkinson JM, Eastell R, Frangi AF. Curr Osteoporos Rep. 2014 Jun;12(2):163-73.

High-spatial-resolution bone densitometry with dual-energy X-ray absorptiometric region-free analysis. Morris RM, Yang L, Martín-Fernández MA, Pozo JM, Frangi AF, Wilkinson JM. Radiology. 2015 Feb;274(2):532-9.

3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry. Whitmarsh T, Humbert L, Del Río Barquero LM, Di Gregorio S, Frangi AF. Med Image Anal. 2013 May;17(4):475-87.

Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometry. Whitmarsh T, Humbert L, De Craene M, Del Rio Barquero LM, Frangi AF. IEEE Trans Med Imaging. 2011 Dec;30(12):2101-14.

 

Subject-specific modelling of femur shape and 3D bone mineral density
Spine reconstruction
Spine segmentation

Speaker information

Prof Alejandro F Frangi,University of Sheffield,Director of the CISTIB

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