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: University College London
• 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
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX030733%2F1
• 关键词: CONcISE; COmputatioNal; Imaging; training; Network

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.

我们的愿景是开发新颖的，非传统的多维生物医学光学成像技术，用于使用可见光和近红外光在生物组织中检测和绘制吸收，散射和荧光。探测时间、波长和空间等其他维度的可能性极大地提高了生物医学设备的成像和诊断能力。到目前为止，这种能力受到了大多数生物医学仪器试图最大化测量数量（像素，光栅扫描等）的事实的严重阻碍。无论信息内容如何，都会导致大量数据需要管理、传输和分析，从而导致测量与结果之间出现瓶颈和差距。CONcISE将克服这些限制，这要归功于一个出色的研究和培训方案，该方案基于以下愿景：㈠整个系统包括硬件和软件的集成和协同工作，㈡采集和探测由样本在一个自适应的数据驱动框架下得出的信息内容引导。在这种方法下，ESRS将能够引领和推动生物医学成像行业朝着新一代设备的发展，对该行业和一般医疗保健产生重大影响。该联盟由具有计算，实验和工业能力的欧盟专家组成，将为ESR提供独特，先进，多学科的培训，涵盖生物医学成像科学的各个方面：建模，设计，开发，数据分析，验证和应用翻译。

项目成果

A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping

研究通过光声波前整形在生物组织中聚焦光的可行性的计算框架

• DOI: 10.1117/12.2656075
• 发表时间: 2023
• 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
• 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
• 作者: Maffeis G