Intelligent Image Guided Interventions

智能图像引导干预

• 批准号: CRC-2017-00281
• 负责人: Kadoury, Samuel
• 金额: $ 7.29万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695430
• 关键词: Intelligent; Image; Guided; Interventions

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.

现代医学越来越多地求助于微创手术，从而可以提高患者的安全性并减少住院成本和恢复时间。 OneSuch实施例是图像引导的疗法，它提高了外科医生的或介入放射科医生的准确达到肿瘤，使用高质量诊断成像（形态，代谢，功能）等靶标的能力。为了有效，此类程序需要在术前成像，可靠的设备跟踪和治疗过程中及时反馈中有效的目标识别。拟议的CRC的主题是开发创新的方法和系统，以使用图像引导的干预措施，这些干预措施将使用人工智能和智能设备，以癌症患者护理。将探讨三个互补的研究主题：（a）肿瘤表征和预测深度放射性的进展，（b）用于解剖学和生理跟踪的智能医疗设备，（c）具有生理和光学图像融合的实时治疗调节。