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: $ 4.66万
• 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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=643356
• 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解决方案已经彻底改变了计算机辅助介入系统。然而，目前的系统仅限于配备昂贵的专门运动跟踪设备和先进、昂贵的成像装置的专门中心。这些系统大规模分布的解决方案是床旁超声，它能够以低得多的成本在移动的设备上获取图像。然而，潜在的床旁操作员是新手/未经超声培训。操作员需要努力进行手眼协调，以获得正确的超声成像数据，直观地解释数据，并将超声用作有效的指导。我们需要的是技术上的重大飞跃，这将提高超声在特定图像引导应用中的易用性。*该研究计划将开发基础技术，以引领下一代计算机辅助干预系统的转型，并启用即时超声设备。更好的数据采集将通过开发新的方法来实现，该方法使用自适应波束形成准确地确定潜在的组织特性。组织特性的准确估计将用于增强3D超声体积的重建，而不需要体积庞大并阻碍工作流程的专门跟踪设备。更好的解释将通过使用机器学习解决方案来解决，这些解决方案自动识别3D超声中的关键解剖标志，分割相关解剖边界，并将3D超声与术前图像融合，以利用互补的解剖信息。将在迭代设计过程中建立确认。设计应用的一个示例是脊髓麻醉，用于指导硬膜外针注射程序。*所有这些技术都将单独或一起在商业床旁超声机上实施，从美国制造的Clarius开始。这些技术将使包括脊髓麻醉在内的几种图像引导程序比这些程序中的当前最先进技术更容易和更准确。因此，这项研究计划将使图像引导技术的广泛部署成为可能。该计划将培养三名博士和三名硕士生，以及五名本科生。一个详细的培训计划，使个人能够充分发挥其潜力，是在研究目标的发展，以确保高质量，互动，繁荣，和公平的研究环境HQP根据UBC的公平和多样性战略计划和政策#2集成。