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Hidden haemodynamics: A Physics-InfOrmed, real-time recoNstruction framEwork for haEmodynamic virtual pRototyping and clinical support (PIONEER)

Hidden haemodynamics: A Physics-InfOrmed, real-time recoNstruction framEwork for haEmodynamic virtual pRototyping and clinical support (PIONEER)
隐藏的血液动力学:用于血液动力学虚拟原型和临床支持的物理信息实时重建框架 (PIONEER)
批准号:
EP/W00481X/1
负责人:
Stavroula Balabani
金额:
$38.55万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
Personalising care, i.e. tailoring therapeutic recommendations to people's individual health needs, has always been a clinicians' goal throughout the history of medicine. But never before has it been possible to design interventions and to predict how our bodies will respond to those. New possibilities are now emerging as we bring together novel approaches, such as state-of-the-art imaging and modelling and simulation. The NHS Long Term Plan identifies cardiovascular disease as a clinical priority and the single biggest condition where lives can be saved by the NHS over the next 10 years. There are currently over 43000 often life-saving vascular interventions p/year in England alone, predicted to increase due to an ageing population and rise in co-morbidities. Many of these interventions require surgery and/or permanent and personalised vascular implants. Vascular surgeons rely on superb skill and flair to perform some of the most complex (and life-critical) interventions; patients, on the other hand, rely on these interventions being safe or high-performing, for a lifetime. But how do we know that this will be the case? That these interventions are optimal? Getting the right intervention (often, surgical) to the right patient, at the right time, i.e. precision vascular surgery, has until now, been an unachievable goal. To realise this goal, we require transformative engineering technologies, fundamentally different from those used today. For the vascular surgery of the future to become a reality, we need pioneering work able to predict the future outcome of an individualised vascular intervention with an acceptable level of realism, fast enough to allow the exploration of multiple possibilities in short periods of time, and trustworthy enough such that they elicit trust and confidence from clinical practitioners. Blood flow (haemodynamics) plays a pivotal role in the initiation and progression of most vascular conditions and the clinical outcomes of interventions. However, hemodynamic information is not readily available in routine clinical practice -despite advances in medical imaging- where a variety of imaging modalities are used routinely. More crucially, imaging data can only give us information about the present, not the future; they cannot tell us what the outcome of any given -often personalised- intervention will be. Here is a case where engineering tools can make a real difference by providing blood flow information for vascular diseases, that cannot be measured in vivo and more importantly, by creating computer models of potential interventions, and their outcomes. By fusing computational blood flow models and imaging data we can make a real breakthrough in clinical pre-operative planning and personalise treatment.In PIONEER we plan to develop the most sophisticated, physics-driven computational tools that will extract, in real-time, accurate unsteady and three-dimensional hemodynamic information (velocity and pressure) from routinely used vascular imaging data. This information will be used for haemodynamic virtual prototyping of personalised cardiovascular interventions and tailoring of cardiovascular devices. The work will enable a fundamental step forward towards precision vascular surgery and will provide expert support for vascular surgeons in their decision-making process, leading to a dramatic improvement in the management of individual patients' risk. To catalyse this vision, we will work synergistically with three top hospitals in the country (Royal Free Hospital, Barts Hospital and GOSH), two patient groups (AVM Butterfly Charity and Aortic Awareness UK) and a leading medical device company, Terumo Aortic. Together, we will firstly create a proof of concept that will pave the way to introduce our ground-breaking technology in clinical and manufacturing workflows.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
The influence of minor aortic branches in Type-B Aortic Dissection: patient-specific flow simulations informed by 4D-Flow MRI
主动脉小分支对 B 型主动脉夹层的影响:4D 流 MRI 提供的患者特异性血流模拟
DOI: 10.21203/rs.3.rs-2210252/v1
发表时间: 2022
期刊:
影响因子: --
作者: [Stokes C]
通讯作者: Stokes C
DOI: 10.1101/2023.01.21.524933
发表时间: 2023-01
期刊: Journal of biomechanics
影响因子: 2.4
作者: [Chotirawee Chatpattanasiri;G. Franzetti;M. Bonfanti;V. Díaz-Zuccarini;S. Balabani]
通讯作者: Chotirawee Chatpattanasiri;G. Franzetti;M. Bonfanti;V. Díaz-Zuccarini;S. Balabani
Decomposition of power number in a stirred tank and real time reconstruction of 3D large-scale flow structures from sparse pressure measurements
搅拌罐中功率数的分解以及稀疏压力测量的 3D 大规模流动结构的实时重建
DOI: 10.1016/j.ces.2023.118881
发表时间: 2023
期刊: Chemical Engineering Science
影响因子: 4.7
作者: [Mikhaylov K]
通讯作者: Mikhaylov K
DOI: 10.1016/j.jbiomech.2022.110963
发表时间: 2022-03
期刊: JOURNAL OF BIOMECHANICS
影响因子: 2.4
作者: [Franzetti, Gaia, Bonfanti, Mirko, Homer-Vanniasinkam, Shervanthi, Diaz-Zuccarini, Vanessa, Balabani, Stavroula]
通讯作者: Balabani, Stavroula
8
    Newton Fund-Integrating water cooled concentrated photovoltaics with waste heat reuse
    • 批准号:
      EP/M029573/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $9.24万
    • 财政年份:
      2015
    • 负责人:
      Stavroula Balabani
    • 依托单位:
    SHEAR INDUCED DENATURATION OF PROTEINS
    • 批准号:
      EP/F007736/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $38.61万
    • 财政年份:
      2008
    • 负责人:
      Stavroula Balabani
    • 依托单位:
    海外基金