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Efficient implementation of spatially-varying 3-D ultrasound deconvolution

机译：有效实现空间变化的3D超声反卷积

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摘要

There are sometimes occasions when ultrasound beamforming is performed with only a subset of the total data that will eventually be available. The most obvious example is a mechanically-swept (wobbler) probe in which the threedimensional data block is formed from a set of individual Bscans. In these circumstances, non-blind deconvolution can be used to improve the resolution of the data. Unfortunately, most of these situations involve large blocks of three-dimensional data. Furthermore, the ultrasound blur function varies spatially with distance from the transducer. These two facts make the deconvolution process time-consuming to implement. This paper is about ways to address this problem and produce spatially-varying deconvolution of large blocks of three-dimensional data in a matter of seconds. We present two approaches, one based on hardware and the other based on software. We compare the time they each take to achieve similar results and discuss the computational resources and form of blur model that each requires.
机译：有时有时只对最终最终可用的全部数据的子集执行超声波束成形。最明显的例子是机械扫描（摆动）探针，其中三维数据块由一组单独的Bscan组成。在这些情况下，可以使用非盲反卷积来提高数据的分辨率。不幸的是，大多数情况涉及大量的三维数据块。此外，超声模糊功能随距换能器的距离而在空间上变化。这两个事实使得去卷积过程的实现很耗时。本文介绍了解决此问题并在几秒钟内产生大尺寸三维数据的空间变化反卷积的方法。我们提出两种方法，一种基于硬件，另一种基于软件。我们比较它们各自获得相似结果所需的时间，并讨论各自所需的计算资源和模糊模型的形式。

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