Cognitive Vision for Surgical Guidance during Cancer Resection

这个项目的目的是开发一个认知平台，用于神经外科的手术导航和活体、原位组织表征。多光谱(MS)反射和荧光成像将以一种新的方式协同使用，以改进宏观组织评估中的肿瘤识别。为了识别肿瘤残留物，用pCLE捕获的细胞组织形态将与RS的分子信息融合，以进行准确的显微组织特征描述。为了提供术中导航和指导手术切除，组织状态将被映射到动态手术环境的形态结构上，突出肿瘤区域。拟议的平台将实现准确和高度个性化的组织特征，目的是提高肿瘤切除的有效性和安全性。一个关键的应用是脑组织的特征，以诊断胶质母细胞瘤(GB)，但它的多功能性使其适用于任何癌症切除手术。

The aim of this project is to develop a cognitive platform for surgical navigation and in vivo, in situ tissue characterisation in neurosurgery. Multispectral (MS) reflectance and fluorescence imaging will be used synergistically in a novel fashion to improve tumour identification during macroscopic tissue assessment. To identify tumour remnants, cellular tissue morphology captured with pCLE will be fused with molecular information from RS for accurate microscopic tissue characterisation. To provide intraoperative navigation and guide surgical resection, the tissue state will be mapped on the morphological structures of the dynamic surgical environment, highlighting tumour areas. The proposed platform will enable accurate and highly personalised tissue characterisation with the aim of improving both the efficacy and safety of tumour resections. A key application is the characterisation of brain tissue for the diagnosis of glioblastoma (GB), but its versatile nature makes it suitable for any cancer resection procedure.