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An Improved Strategy for Detection and Localization of Nodules in Liver Tissues by a 16 MHz Needle Ultrasonic Probe Mounted on a Robotic Platform

机译:一种通过安装在机器人平台上的16 MHz针头超声探头检测和定位肝组织中结节的改进策略

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摘要

This study presents an improved strategy for the detection and localization of small size nodules (down to few mm) of agar in excised pork liver tissues via pulse-echo ultrasound measurements performed with a 16 MHz needle probe. This work contributes to the development of a new generation of medical instruments to support robotic surgery decision processes that need information about cancerous tissues in a short time (minutes). The developed ultrasonic probe is part of a scanning platform designed for the automation of surgery-associated histological analyses. It was coupled with a force sensor to control the indentation of tissue samples placed on a steel plate. For the detection of nodules, we took advantage of the property of nodules of altering not only the acoustical properties of tissues producing ultrasound attenuation, but also of developing patterns at their boundary that can modify the shape and the amplitude of the received echo signals from the steel plate supporting the tissues. Besides the Correlation Index Amplitude (CIA), which is linked to the overall amplitude changes of the ultrasonic signals, we introduced the Correlation Index Shape (CIS) linked to their shape changes. Furthermore, we applied AND-OR logical operators to these correlation indices. The results were found particularly helpful in the localization of the irregular masses of agar we inserted into some excised liver tissues, and in the individuation of the regions of major interest over which perform the vertical dissections of tissues in an automated analysis finalized to histopathology. We correctly identified up to 89% of inclusions, with an improvement of about 14% with respect to the result obtained (78%) from the analysis performed with the CIA parameter only.
机译:这项研究提出了一种改进的策略,可通过使用16 MHz针型探针进行脉冲回波超声测量来检测和定位切下的猪肝组织中的小尺寸琼脂(小至几毫米)琼脂。这项工作有助于新一代医疗器械的开发,以支持需要在短时间内(几分钟)内获得有关癌组织信息的机器人手术决策过程。研发的超声波探头是为与手术相关的组织学分析自动化而设计的扫描平台的一部分。它与力传感器耦合以控制放置在钢板上的组织样本的压痕。为了检测结节,我们利用了结节的特性,不仅改变了产生超声衰减的组织的声学特性,而且还改变了在其边界处形成的模式,这些模式可以修改从超声接收的回波信号的形状和幅度。支撑组织的钢板。除了与超声信号的整体幅度变化有关的相关指数幅度(CIA),我们还介绍了与它们的形状变化有关的相关指数形状(CIS)。此外,我们将AND-OR逻辑运算符应用于这些相关指数。发现的结果对我们插入一些切除的肝组织中的不规则琼脂的定位以及在最终确定为组织病理学的自动分析中进行组织垂直解剖的主要关注区域的个体化特别有用。我们正确地识别了多达89%的夹杂物,相对于仅使用CIA参数进行的分析所获得的结果(78%)改善了约14%。

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