Lindop Joel E, Treece Graham M, Gee Andrew H, Prager Richard W
Department of Engineering, University of Cambridge, UK.
Ultrasound Med Biol. 2008 Jul;34(7):1117-28. doi: 10.1016/j.ultrasmedbio.2007.12.012. Epub 2008 Apr 28.
We present a new, intelligent interface for freehand strain imaging, which has been designed to support clinical trials investigating the potential of ultrasonic strain imaging for diagnostic purposes across a broad range of target pathologies. The aim with this interface is to make scanning easier and to help clinicians learn the necessary scanning technique quickly, by providing real time feedback indicating the quality of the strain data as they are produced. The methods require a pixel-level indicator of estimation precision, which can be calculated in-line with strain estimation. This is exploited in novel approaches to normalisation, persistence and display. The effect of each component is indicated in the results with examples from in vitro and in vivo scanning. As well as providing real-time feedback, the images are easier to interpret because data at unacceptably low signal-to-noise ratios do not reach the display. Additionally, the level of noise in the displayed images is actually reduced compared with other methods that use the same strain estimates with the same level of persistence. The interface also considerably reduces the difficulty in producing volumes of strain data from freehand three-dimensional scans.
我们展示了一种用于徒手应变成像的新型智能接口,该接口旨在支持临床试验,这些试验旨在研究超声应变成像在广泛目标病理诊断中的潜力。此接口的目的是通过提供实时反馈来表明应变数据生成时的质量,从而使扫描更容易,并帮助临床医生快速掌握必要的扫描技术。这些方法需要一个估计精度的像素级指标,该指标可与应变估计一起在线计算。这在归一化、持久性和显示的新方法中得到了应用。结果中通过体外和体内扫描的示例表明了每个组件的效果。除了提供实时反馈外,图像更易于解释,因为信噪比低到不可接受的数据不会显示出来。此外,与使用相同应变估计和相同持久性水平的其他方法相比,显示图像中的噪声水平实际上有所降低。该接口还大大降低了从徒手三维扫描生成应变数据体的难度。