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Feasibility of Robot-Assisted Ultrasound Imaging with Force Feedback for Assessment of Thyroid Diseases

机译:具有力反馈的机器人辅助超声成像评估甲状腺疾病的可行性

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Medical ultrasound is extensively used to define tissue textures and to characterize lesions, and it is the modality of choice for detection and follow-up assessment of thyroid diseases. Classical medical ultrasound procedures are performed manually by an occupational operator with a hand-held ultrasound probe. These procedures require high physical and cognitive burden and yield clinical results that are highly operator-dependent, therefore frequently diminishing trust in ultrasound imaging data accuracy in repetitive assessment. A robotic ultrasound procedure, on the other hand, is an emerging paradigm integrating a robotic arm with an ultrasound probe. It achieves an automated or semi-automated ultrasound scanning by controlling the scanning trajectory, region of interest, and the contact force. Therefore, the scanning becomes more informative and comparable in subsequent examinations over a long-time span. In this work, we present a technique for allowing operators to reproduce reliably comparable ultrasound images with the combination of predefined trajectory execution and real-time force feedback control. The platform utilized features a 7-axis robotic arm capable of 6-DoF force-torque sensing and a linear-array ultrasound probe. The measured forces and torques affecting the probe are used to adaptively modify the predefined trajectory during autonomously performed examinations and probe-phantom interaction force accuracy is evaluated. In parallel, by processing and combining ultrasound B-Mode images with probe spatial information, structural features can be extracted from the scanning volume through a 3D scan. The validation was performed on a tissue-mimicking phantom containing thyroid features, and we successfully demonstrated high image registration accuracy between multiple trials.
机译:医学超声被广泛用于定义组织纹理和表征病变,并且它是甲状腺疾病的检测和随访评估的选择方式。经典的医学超声程序是由职业操作人员使用手持式超声探头手动执行的。这些过程需要很高的身体和认知负担,并产生高度依赖于操作员的临床结果,因此在重复评估中经常会降低对超声成像数据准确性的信任。另一方面,机器人超声程序是将机器人臂与超声探头集成在一起的新兴范例。通过控制扫描轨迹,关注区域和接触力,可以实现自动或半自动超声扫描。因此,在较长的时间跨度中,扫描在以后的检查中将变得更加有用和可比。在这项工作中,我们提出了一种技术,允许操作员结合预定义的轨迹执行和实时力反馈控制,可靠地重现可比较的超声图像。所使用的平台具有能够进行6自由度力转矩传感的7轴机械臂和线性阵列超声探头。测得的影响探针的力和扭矩用于在自动执行的检查过程中自适应地修改预定义的轨迹,并评估探针-幻像相互作用力的准确性。同时,通过处理超声B模式图像并将其与探头空间信息结合起来,可以通过3D扫描从扫描体积中提取结构特征。验证是在包含甲状腺功能的模仿组织模型上进行的,我们成功地证明了多次试验之间的高图像配准精度。

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