Surgical Data Science

手术数据科学

• 批准号: CRC-2017-00099
• 负责人: Fichtinger, Gabor
• 金额: $ 14.57万
• 依托单位: Queen's University
• 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=695919
• 关键词: Surgical; Data; Science

This research program will concentrate on Surgical Data Science, specifically on novel technologies for minimally invasive medical interventions performed under computational image guidance. I aim to transcend human limitations in the accuracy and precision of image-guided intervention performance and in training physicians for these procedures. Specifically, I will develop and translate to actual clinical practice the following innovative methods: (1) novel electromagnetically navigated instruments, intra-operative biomechanical image fusion methods and surgical navigation software for soft tissue tumor resection, first demonstrated in breast cancer surgery; (2) a new generation of training methods and systems for quantitative skill and competence assessment in image-guided needle placement intervention training.

该研究项目将集中于外科数据科学，特别是在计算图像引导下进行微创医疗干预的新技术。我的目标是超越人类在图像引导干预的准确性和精确度以及培训医生进行这些手术方面的限制。具体来说，我将开发以下创新方法并将其转化为实际临床实践：（1）用于软组织肿瘤切除的新型电磁导航仪器、术中生物力学图像融合方法和手术导航软件，首次在乳腺癌手术中得到证明； （2）新一代图像引导置针干预训练中定量技能和能力评估的训练方法和系统。