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CISTIB joins the University of Leeds

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After seven highly productive years in Sheffield, we are very excited to have relocated the Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB, www.cistib.org) to the University of Leeds.

We look forward to building similarly close and productive partnerships in Leeds, which capitalise on the unique opportunities that the city offers and on the synergistic capabilities which CISTIB in turn will bring. The university combines a long history of pioneering research in medical engineering, with an outstanding array of current activities in medical imaging and fluid dynamics. CISTIB’s vision is to become the nexus for imaging and modelling technologies. In particular, we are excited about continuing in Leeds our work in image-based computational physiological fluids and collaborate with fluids and scientific computing specialists to solve unmet clinical problems in cardiology, one of the key strengths at the School of Medicine. Medical imagery offers both a means to validate numerical fluid simulations and data to personalise computational fluid dynamics to yield personalised flow predictions. Modern medicine must become more quantitative and more predictive if it is to respond to current societal and economic pressures (1). For instance, we have done considerable work in rupture risk prediction of cerebral aneurysms (2), on personalised interventional planning via virtual interventions (3) and on understanding the influence of chronic hypo perfusion in dementia (4).

Our vision is for CISTIB to be a catalyst for yet closer integration of these complementary areas of technical and clinical strength, and to create in Leeds a hub for healthcare technologies research whose reputation for excellence and clinical impact is second-to-none. This certainly is an exciting move for our group, and one we believe will allow it to grow and achieve its mission as never before.

Since August 1st 2018, Prof Alejandro Frangi joined Leeds as Diamond Jubilee Chair of Computational Medicine  with a joint appointment at the Schools of Computing and Medicine with longstanding collaborators Dr Zeike Taylor as Associate Professor in Mechanical Engineering, and Dr Toni Lassila as Lecturer in Computer Science.

References:

  1. Simulation and Synthesis in Medical Imaging. Frangi AF, Tsaftaris SA, Prince JL.IEEE Trans Med Imaging. 2018 Mar;37(3):673-679. doi: 10.1109/TMI.2018.
  2. @neurIST complex information processing toolchain for the integrated management of cerebral aneurysms. Villa-Uriol MC1, Berti G, Hose DR, Marzo A, Chiarini A, Penrose J, Pozo J, Schmidt JG, Singh P, Lycett R, Larrabide I, Frangi AF.I nterface Focus. 2011 Jun 6;1(3):308-19. doi: 10.1098/rsfs.2010.0033. Epub 2011 Apr 6.
  3. Virtual endovascular treatment of intracranial aneurysms: models and uncertainty. Sarrami-Foroushani A1, Lassila T1, Frangi AF1. Wiley Interdiscip Rev Syst Biol Med. 2017 Jul;9(4). doi: 10.1002/wsbm.1385. Epub 2017 May 10.
  4. Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Guo L1, Vardakis JC1, Lassila T2, Mitolo M3, Ravikumar N4, Chou D5, Lange M2, Sarrami-Foroushani A2, Tully BJ6, Taylor ZA4, Varma S2, Venneri A7, Frangi AF2, Ventikos Y1. Interface Focus. 2018 Feb 6;8(1):20170019. doi: 10.1098/rsfs.2017.0019. Epub 2017 Dec 15.