Localizing target structures in ultrasound video - a phantom study.
Localizing target structures in ultrasound video - a phantom study.
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DOI：
10.1016/j.media.2013.05.003
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发表时间：
2013-10
影响因子：
10.9
通讯作者：
Aylward, S.
中科院分区：
文献类型：
--
作者：
Kwitt, R.;Vasconcelos, N.;Razzaque, S.;Aylward, S.
被认为是使用超声（US）视频定位特定解剖结构的问题。这涉及在US检查过程期间自动确定US探头何时采集先前定义的感兴趣对象的图像。使用US进行本地化的动机是便携式低成本US探头的可用性增加，这激发了经验不足的人员甚至首次用户获取US数据的应用程序，然后将其发送给专家进行进一步评估。这一过程对于服务不足人群的常规检查以及自然灾害和大规模事故后的病人分类特别有意义，因为这些地方可能缺乏专家。所提出的本地化方法的动机是在动态纹理分析领域的研究，并利用了活动识别领域的一些最新进展。为了评估，我们介绍了一个注释和公开的数据库，美国视频，收购三个幻影。几个实验揭示了将视频分析方法应用于US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。
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.
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影响因子：
14.4
作者：
HORN, BKP;SCHUNCK, BG
通讯作者：
SCHUNCK, BG
DOI：
10.1097/00005373-199903000-00022
发表时间：
1999-03-01
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影响因子：
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通讯作者：
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DOI：
10.1145/1961189.1961199
发表时间：
2011-01-01
影响因子：
5
作者：
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通讯作者：
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