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CONcISE: COmputatioNal Imaging as a training Network for Smart biomedical dEvices

CONcISE: COmputatioNal Imaging as a training Network for Smart biomedical dEvices
简明:计算成像作为智能生物医学设备的培训网络
批准号:
EP/X030733/1
负责人:
Simon Arridge
金额:
$33.8万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
Our vision is to develop novel, unconventional techniques for multi-dimensional biomedical optical imaging for the detection and mapping of absorption, scattering, and fluorescence, in biological tissues using visible and near-infrared light. The possibility of detecting other dimensions like time and wavelength, together with space, dramatically improves the imaging and diagnostic power of biomedical devices. So far, this capability is strongly hampered by the fact that most of the biomedical instrumentation works trying to maximize the number of measurements (pixel, raster scans, ...) regardless of the information content, thus leading to a huge amount of data to manage, transfer and analyze, with consequent bottleneck and gap between measurement and result. CONcISE will overcome these limitations thanks to an outstanding research and training programme based on the vision that (i) a system as a whole includes both hardware and software integrated and working together, (ii) acquisition and detection are piloted by information content derived by the sample under an adaptive, data-driven framework. Under this approach, ESRSs will be capable ofleading and boosting the biomedical imaging industry towards the development of a new generation of devices, with a strong impact in the sector and in general healthcare. The consortium, balanced among EU experts with computational, experimental and industrial competences, will provide ESRs with a unique, advanced, multi-disciplinary training covering all the aspects of the biomedical imaging science: modelling, design, development, data analysis, validation and translation to the application.
期刊论文(3)
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科研奖励(0)
会议论文
DOI: 10.1117/12.2656075
发表时间: 2023
期刊:
影响因子: --
作者: [Bewick J]
通讯作者: Bewick J
Breast lesion classification based on absorption and composition parameters: a look at SOLUS first outcomes
基于吸收和成分参数的乳腺病变分类:SOLUS 的首要结果
DOI: 10.1117/12.2648945
发表时间: 2023
期刊:
影响因子: --
作者: [Maffeis G]
通讯作者: Maffeis G
Initial examples of the SOLUS multimodal potential
SOLUS 多模式潜力的初步示例
DOI: 10.1117/12.2670430
发表时间: 2023
期刊:
影响因子: --
作者: [Maffeis G]
通讯作者: Maffeis G
Tomographic imaging of flow and chromophore concentrations in biological tissue
  • 批准号:
    EP/N032055/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $64.38万
  • 财政年份:
    2016
  • 负责人:
    Simon Arridge
  • 依托单位:
Dynamic Peri-operative Cerenkov Luminescence Imaging for Robotic Assisted Surgery (EDCLIRS)
  • 批准号:
    EP/N022750/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $30.94万
  • 财政年份:
    2016
  • 负责人:
    Simon Arridge
  • 依托单位:
Dynamic High Resolution Photoacoustic Tomography System
  • 批准号:
    EP/K009745/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $83.81万
  • 财政年份:
    2013
  • 负责人:
    Simon Arridge
  • 依托单位:
Parameter and Structure Indentification in Optical Tomography
  • 批准号:
    EP/E034950/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $79.85万
  • 财政年份:
    2007
  • 负责人:
    Simon Arridge
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data