Towards New Frontiers in Computer Assisted Image Guidance with Next Generation Point of Care Ultrasound

利用下一代护理点超声迈向计算机辅助图像引导的新领域

• 批准号: RGPIN-2018-03844
• 负责人: Abolmaesumi, Purang
• 金额: $ 9.32万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752011
• 关键词: Towards; New; Frontiers; Computer; Assisted

In recent years, image-guided solutions using real-time ultrasound imaging have revolutionized computer assisted intervention systems. However, current systems are limited to specialized centres equipped with expensive specialized motion tracking equipment and advanced, expensive imaging devices. A solution to large-scale distribution of these systems is point-of-care ultrasound, which enables image acquisition on mobile devices at much lower cost. However, potential point-of-care operators are novices/untrained in ultrasound. Operators struggle with the hand-eye coordination needed to obtain the correct ultrasound imaging data, intuitively interpret the data, and to use ultrasound as an effective guide. What is needed is a significant leap in technologies that will improve the ease-of-use of ultrasound for specific image-guided applications.This research program will develop fundamental technologies to lead the transformation of next generation computer-assisted intervention systems, enabled with point-of-care ultrasound devices. Better data acquisition will be achieved by developing new methodologies that accurately determine the underlying tissue properties using adaptive beamforming. Accurate estimation of tissue properties will be used to enhance the reconstruction of 3D ultrasound volumes without the need for specialized tracking devices that are bulky and hinder workflow.Better interpretation will be addressed by using machine learning solutions that automatically identify key anatomical landmarks in 3D ultrasound, segment relevant anatomical boundaries, and fuse 3D ultrasound with pre-operative images to take advantage of complimentary anatomical information. Validation will be established in an iterative design process. An example design application is spinal anesthesia, for guiding epidural needle injection procedures.All these techniques will be implemented individually or together on commercial point-of-care ultrasound machines starting with the Canadian-made Clarius. These techniques will make several image-guided procedures, including spinal anesthesia, easier and more accurate than current state-of-the-art in these procedures. Hence, this research program will enable widespread deployment of image-guided technology.The proposed program will train three PhD and three MSc students, as well as five undergraduate students. A detailed training plan that allows individuals to reach their full potential is integrated within the development of research objectives to ensure a high quality, interactive, flourishing, and an equitable research environment for HQP as per UBC Equity and Diversity Strategic Plan and Policy #2.

近年来，使用实时超声成像的图像引导的解决方案彻底改变了计算机辅助干预系统。但是，当前系统仅限于配备昂贵的专业运动跟踪设备和高级昂贵成像设备的专业中心。这些系统大规模分布的解决方案是Pare Pare Urtrasound，它可以以低得多的成本在移动设备上获取图像。但是，潜在的护理操作员是新手/未经训练的超声。操作员与获得正确的超声成像数据所需的手眼协调斗争，直观地解释数据，并将超声用作有效指南。所需的是技术的重大飞跃，它将提高特定图像引导应用程序的超声易用性。本研究计划将开发基本技术，以领导下一代计算机辅助的干预系统的转变，并通过关注点超声设备实现。通过开发使用自适应波束形成的新方法，可以通过开发新的方法来实现更好的数据采集。 Accurate estimation of tissue properties will be used to enhance the reconstruction of 3D ultrasound volumes without the need for specialized tracking devices that are bulky and hinder workflow.Better interpretation will be addressed by using machine learning solutions that automatically identify key anatomical landmarks in 3D ultrasound, segment relevant anatomical boundaries, and fuse 3D ultrasound with pre-operative images to take advantage of complimentary解剖信息。验证将在迭代设计过程中建立。一个示例设计应用是脊柱麻醉，用于指导性硬膜外喷射程序。所有这些技术都将单独或在商业的关键点超声计算机上一起实施，从加拿大制造的Clarius开始。这些技术将制作几个图像引导的程序，包括脊柱麻醉，比这些过程中最新的最新方法更容易，更准确。因此，该研究计划将实现图像指导技术的广泛部署。拟议的计划将培训三名博士学位和三名MSC学生以及五名本科生。允许个人达到全部潜力的详细培训计划纳入了研究目标的发展，以确保根据UBC权益和多样性战略计划和政策2的高质量，互动，繁荣和公平的HQP研究环境。