Solberg Ole Vegard, Lindseth Frank, Torp Hans, Blake Richard E, Nagelhus Hernes Toril A
SINTEF Health Research, Medical Technology, Trondheim, Norway.
Ultrasound Med Biol. 2007 Jul;33(7):991-1009. doi: 10.1016/j.ultrasmedbio.2007.02.015. Epub 2007 May 18.
Three-dimensional (3D) ultrasound (US) is increasingly being introduced in the clinic, both for diagnostics and image guidance. Although dedicated 3D US probes exist, 3D US can also be acquired with the still frequently used two-dimensional (2D) US probes. Obtaining 3D volumes with 2D US probes is a two-step process. First, a positioning sensor must be attached to the probe; second, a reconstruction of a 3D volume can be performed into a regular voxel grid. Various algorithms have been used for performing 3D reconstruction based on 2D images. Up till now, a complete overview of the algorithms, the way they work and their benefits and drawbacks due to various applications has been missing. The lack of an overview is made clear by confusions about algorithm and group names in the existing literature. This article is a review aimed at explaining and categorizing the various algorithms into groups, according to algorithm implementation. The algorithms are compared based on published data and our own laboratory results. Positive and practical uses of the various algorithms for different applications are discussed, with a focus on image guidance.
三维（3D）超声（US）在临床上的应用越来越广泛，可用于诊断和图像引导。尽管有专用的3D超声探头，但也可以使用仍经常使用的二维（2D）超声探头获取3D超声图像。使用2D超声探头获取3D容积是一个两步过程。首先，必须将定位传感器连接到探头上；其次，可以将3D容积重建为规则的体素网格。已经使用了各种算法基于2D图像进行3D重建。到目前为止，缺少对这些算法、它们的工作方式以及由于各种应用而产生的优缺点的完整概述。现有文献中算法和组名的混淆清楚地表明了缺乏概述。本文是一篇综述，旨在根据算法实现将各种算法解释并分类为不同的组。根据已发表的数据和我们自己的实验室结果对这些算法进行比较。讨论了各种算法在不同应用中的积极和实际用途，重点是图像引导。
