首页> 外国专利> SYSTEM AND METHOD FOR IDENTIFYING AND NAVIGATING ANATOMICAL OBJECTS USING DEEP LEARNING NETWORKS.

SYSTEM AND METHOD FOR IDENTIFYING AND NAVIGATING ANATOMICAL OBJECTS USING DEEP LEARNING NETWORKS.

机译:使用深度学习网络识别和导航解剖对象的系统和方法。

摘要

A method for scanning, identifying, and navigating at least one anatomical object of a patient via an imaging system includes scanning the anatomical object via a probe of the imaging system, identifying the anatomical object via the probe, and navigating the anatomical object via the probe. Further, the method includes collecting data relating to operation of the probe during the scanning, identifying, and navigating steps. Moreover, the method includes inputting the collected data into a deep learning network configured to learn the scanning, identifying, and navigating steps. In addition, the method includes generating a probe visualization guide for an operator based on the deep learning network. Thus, the method also includes displaying the probe visualization guide to the operator via a user display of the imaging system, wherein the probe visualization guide instructs the operator how to maneuver the probe so as to locate the anatomical object. In addition, the method also includes using haptic feedback in the probe to guide the operator to the anatomical object of the patient.
机译:一种用于经由成像系统扫描,识别和导航患者的至少一个解剖对象的方法,包括经由成像系统的探针扫描解剖对象,经由探针识别解剖对象,以及经由探针导航解剖对象。 。此外,该方法包括在扫描,识别和导航步骤期间收集与探针的操作有关的数据。此外,该方法包括将收集的数据输入到深度学习网络中,该深度学习网络被配置为学习扫描,识别和导航步骤。此外,该方法包括基于深度学习网络为操作员生成探针可视化指南。因此,该方法还包括经由成像系统的用户显示器将探针可视化指南显示给操作者,其中探针可视化指南指示操作者如何操纵探针以便定位解剖对象。另外,该方法还包括在探针中使用触觉反馈以将操作者引导至患者的解剖对象。

著录项

  • 公开/公告号MX2019014311A

    专利类型

  • 公开/公告日2020-02-03

    原文格式PDF

  • 申请/专利权人 AVENT INC.;

    申请/专利号MX20190014311

  • 发明设计人 MICHAEL R. AVENDI;SHANE A. DUFFY;

    申请日2018-05-17

  • 分类号A61B8/08;A61B8;

  • 国家 MX

  • 入库时间 2022-08-21 11:16:58

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