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三维表面点云超声,更好地理解和传输超声扫描信息。

Three-Dimensional Surface Point Cloud Ultrasound for Better Understanding and Transmission of Ultrasound Scan Information.

机构信息

Department of Radiology, Columbia University Medical Center, 622 West 168th Street, PB 1-301, New York, NY, 10032, USA.

出版信息

J Digit Imaging. 2018 Dec;31(6):904-911. doi: 10.1007/s10278-017-0046-7.

Abstract

Ultrasound is notoriously plagued by high user dependence. There is a steep drop-off in information in going from what the sonographer sees during image acquisition and what the interpreting radiologist is able to view at the reading station. One countermeasure is probe localization and tracking. Current implementations are too difficult and expensive to use and/or do not provide adequate detail and perspective. The aim of this work was to demonstrate that a protocol combining surface three-dimensional photographic imaging with traditional ultrasound images may be a solution to the problem of probe localization, this approach being termed surface point cloud ultrasound (SPC-US). Ultrasound images were obtained of major vessels in an ultrasound training phantom, while simultaneously obtaining surface point cloud (SPC) 3D photographic images, with additional scanning performed on the right forearm soft tissues, kidneys, chest, and pelvis. The resulting sets of grayscale/color Doppler ultrasound and SPC images are juxtaposed and displayed for interpretation in a manner analogous to current text-based annotation or computer-generated stick figure probe position illustrations. Clearly demonstrated is that SPC-US better communicates information of probe position and orientation. Overall, it is shown that SPC-US provides much richer image representations of probe position on the patients than the current prevailing schemes. SPC-US turns out to be a rather general technique with many anticipated future applications, though only a few sample applications are illustrated in the present work.

摘要

超声检查一直以来都存在高度依赖操作人员的问题。在图像采集过程中,超声医师看到的信息与在阅读工作站中进行判读的放射科医师所看到的信息之间存在着巨大的差距。一种对策是进行探头定位和跟踪。目前的实现方法要么过于复杂和昂贵,难以使用,要么无法提供足够的细节和视角。本研究旨在证明,将表面三维摄影成像与传统超声图像相结合的方案可能是解决探头定位问题的一种方法,这种方法被称为表面点云超声(SPC-US)。我们对超声培训模型中的主要血管进行了超声图像采集,同时获取了表面点云(SPC)三维摄影图像,并在右前臂软组织、肾脏、胸部和骨盆上进行了额外的扫描。所得的灰度/彩色多普勒超声和 SPC 图像集以类似于当前基于文本的注释或计算机生成的棒状探头位置图的方式并列显示以供解读。结果清楚地表明,SPC-US 可以更好地传达探头位置和方向的信息。总的来说,与当前流行的方案相比,SPC-US 为患者探头位置提供了更丰富的图像表示。事实证明,SPC-US 是一种非常通用的技术,具有许多预期的未来应用,尽管在本研究中仅展示了一些示例应用。

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