首页> 外文会议>Functional imaging and modeling of the heart >Fixing the Beating Heart: Ultrasound Guidance for Robotic Intracardiac Surgery
【24h】

Fixing the Beating Heart: Ultrasound Guidance for Robotic Intracardiac Surgery

机译:修复心脏跳动:机器人心内膜手术的超声指导

获取原文
获取原文并翻译 | 示例

摘要

To treat defects within the heart, surgeons currently use stopped-heart techniques. These procedures are highly invasive and incur a significant risk of neurological impairment. We are developing methods for performing surgery within the heart while it is beating. New real-time 3-D ultrasound imaging allows visualization through the opaque blood pool, but this imaging modality poses difficult image processing challenges, including poor resolution, acoustic artifacts, and data rates of 30 to 40 million voxels per second. To track instruments within the heart we have developed a Radon transform-based algorithm, which is readily implemented in real-time on graphics processor units. For manipulation of rapidly moving cardiac tissue we have created a fast robotic device that can track the tissue based on ultrasound image features. This allows the surgeon to interact with the heart as if it was stationary. To integrate ultrasound imaging with the robotic device we have developed a predictive controller that compensates for the 50-100 ms imaging and image processing delays to ensure good tracking performance. Our in vitro studies show that this approach enhances dexterity and lowers applied forces. In vivo applications of this technology in atrial septal defect closure and mitral valve annuloplasty procedures demonstrate the potential for improved patient outcomes.
机译:为了治疗心脏内的缺陷,外科医生目前使用心脏停搏技术。这些程序是高度侵入性的,并且会引起神经系统损害的重大风险。我们正在开发在心脏跳动时进行心脏手术的方法。新的实时3D超声成像允许通过不透明的血池进行可视化,但是这种成像方式带来了困难的图像处理挑战,包括分辨率差,声学伪影以及每秒30至4000万个体素的数据速率。为了跟踪心脏内的仪器,我们开发了一种基于Radon变换的算法,该算法可以在图形处理器单元上实时实现。为了操纵快速移动的心脏组织,我们创建了一种可以根据超声图像特征跟踪组织的快速机器人设备。这允许外科医生像心脏静止一样与心脏互动。为了将超声成像与机器人设备集成在一起,我们开发了一种预测控制器,该控制器可补偿50-100毫秒的成像和图像处理延迟,以确保良好的跟踪性能。我们的体外研究表明,这种方法增强了灵活性,并降低了作用力。该技术在房间隔缺损闭合和二尖瓣瓣环成形术中的体内应用证明了改善患者预后的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号