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Localizing target structures in ultrasound video - A phantom study

机译：在超声视频中定位目标结构-幻影研究

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摘要

The problem of localizing specific anatomic structures using ultrasound (US) video is considered. This involves automatically determining when an US probe is acquiring images of a previously defined object of interest, during the course of an US examination.Localization using US is motivated by the increased availability of portable, low-cost US probes, which inspire applications where inexperienced personnel and even first-time users acquire US data that is then sent to experts for further assessment. This process is of particular interest for routine examinations in underserved populations as well as for patient triage after natural disasters and large-scale accidents, where experts may be in short supply.The proposed localization approach is motivated by research in the area of dynamic texture analysis and leverages several recent advances in the field of activity recognition. For evaluation, we introduce an annotated and publicly available database of US video, acquired on three phantoms. Several experiments reveal the challenges of applying video analysis approaches to US images and demonstrate that good localization performance is possible with the proposed solution.
机译：考虑了使用超声（US）视频定位特定解剖结构的问题。这涉及在美国检查过程中自动确定美国探针何时获取先前定义的感兴趣的对象的图像。使用美国本地化的原因是便携式，低成本美国探针的可用性增加，这激发了经验不足的应用程序的灵感。人员甚至首次使用的用户都会获取美国数据，然后将其发送给专家进行进一步评估。此过程对于服务不足的人群的常规检查以及自然灾害和大规模事故后可能会短缺专家的患者分类特别有用。所建议的本地化方法受动态纹理分析领域的研究的启发并利用了活动识别领域的一些最新进展。为了进行评估，我们引入了一个带注释的，可公开获得的美国视频数据库，该数据库是从三个模型上获取的。多项实验揭示了将视频分析方法应用于美国图像的挑战，并证明了所提出的解决方案可以实现良好的定位性能。

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