Cognitive Vision for Surgical Guidance during Cancer Resection

癌症切除过程中的认知视觉手术指导

• 批准号: 2814588
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2814588
• 关键词: Cognitive; Vision; Surgical; Guidance; during

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.

该项目的目的是开发一个认知平台，用于神经外科手术导航和体内原位组织表征。多光谱（MS）反射率和荧光成像将以一种新的方式协同使用，以改善宏观组织评估期间的肿瘤识别。为了识别肿瘤残留物，将用pCLE捕获的细胞组织形态与来自RS的分子信息融合，以进行准确的显微组织表征。为了提供术中导航和引导手术切除，组织状态将映射到动态手术环境的形态结构上，突出显示肿瘤区域。拟议的平台将实现准确和高度个性化的组织表征，旨在提高肿瘤切除的有效性和安全性。一个关键的应用是用于诊断胶质母细胞瘤（GB）的脑组织表征，但其多功能性使其适用于任何癌症切除手术。