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

我们的愿景是开发新颖的、非常规的技术，用于多维生物医学光学成像，用于利用可见光和近红外光检测和绘制生物组织中的吸收、散射和荧光。探测时间和波长等其他维度以及空间的可能性，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，这种能力受到以下事实的严重阻碍：大多数生物医学仪器工作都试图最大化测量数量（像素，光栅扫描，…），而不考虑信息内容，从而导致大量数据需要管理，传输和分析，从而导致测量和结果之间的瓶颈和差距。由于一项杰出的研究和培训计划，简明将克服这些限制，该计划基于以下设想：(i)一个系统作为一个整体，包括硬件和软件的集成和协同工作，（ii）在自适应数据驱动的框架下，通过样本得出的信息内容进行采集和检测。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，在该部门和一般医疗保健领域产生强大的影响。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提供独特的、先进的、多学科的培训，涵盖生物医学成像科学的所有方面：建模、设计、开发、数据分析、验证和应用转换。

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.