Intelligent Image Guided Interventions

现代医学越来越多地求助于微创手术，这种手术可以提高患者的安全性，减少住院费用和恢复时间。图像引导治疗就是这样的一种体现，它利用高质量的诊断成像(形态、代谢、功能)，提高外科医生或介入放射科医生准确到达肿瘤等靶点的能力。为了有效，这些程序需要在程序前成像中有效的目标识别，可靠的设备跟踪和治疗过程中的及时反馈。拟议的CRC的主要目标将是开发图像引导干预的创新方法和系统，在癌症患者护理期间使用人工智能和智能设备。将探讨三个相辅相成的研究主题：(A)深度放射组学的肿瘤特征和进展预测，(B)用于解剖和生理跟踪的智能医疗设备，(C)通过生理和光学图像融合的实时治疗调制。

Modern medicine increasingly resorts to minimally invasive procedures which allowto improve patient safety and reduce hospitalization costs and recovery times. Onesuch embodiment are image-guided therapies, which improves a surgeon's orinterventional radiologist's ability to accurately reach targets such as tumors, usinghigh quality diagnostic imaging (morphology, metabolic, functional). To be effective,such procedures require efficient target identification in pre-procedural imaging,reliable device tracking and timely feedback during therapy delivery. The mainobjective of the proposed CRC will be to develop innovative methods and systemsfor image-guided interventions that will use artificial intelligence and smart devicesduring the cancer patients care. Three complementary research themes will be explored: (a) tumor characterization and prediction of progression with deepradiomics, (b) smart medical devices for anatomical and physiological tracking, (c) real-time treatment modulation with physiological and optical image fusion.