Freehand 3-D ultrasound (US) produc

Freehand 3-D ultrasound (US) produces 3-D volume data of
anatomical objects from a sequence of irregularly located 2-D B-mode US
images (B-scans). In 3-D US, the voxel intensities are calculated by interpolating those pixels from raw B-scans. Current interpolation algorithms do
not consider sparsity of the raw data and are time consuming in computation. In this paper, we aim to perform the 3-D reconstruction of freehand
US with sparse raw data in a more efficient manner. A novel interpolation algorithm takes advantage of Bezier curves. A single sweep of raw
B-scans is collected, and the third-order Bezier curves are employed for
approximating the voxels located in a control window. In in vitro and in
vivo experiments, a fetus phantom and a subject’s forearm were scanned
using the freehand 3-D US system and reconstructed using the proposed
Bezier interpolation algorithm and three popular interpolation algorithms,
respectively. The results showed that the proposed algorithm significantly
outperformed the other three algorithms when the raw B-scans were relatively sparse and the interpolation error in gray level can be reduced
by 0.51–5.07. The speed for 3-D reconstruction can be improved by 90.6–
97.2% because a single third-order Bezier curve using four control points
(i.e., the pixel points) is able to estimate more than four voxels, whereas the
estimation of a voxel value often requires a number of pixels in conventional
techniques.

結果 (中文) 1:

写意的三维超声 (US) 产生三维体的数据从序列中不规则位于 2 D B 模式美国解剖对象图像 (B-扫描)。在美国，体素强度计算通过插值这些像素从原始 B 扫描的三维。当前的插值算法做不考虑原始数据的稀疏性和时间消耗计算中。在本文中，我们的目标是要执行的写意的三维重建我们用稀疏的原始数据，以更有效的方式。一种新的插值算法利用贝塞尔曲线。单扫描的原料收集了 B 扫描，和三阶贝塞尔曲线被用于逼近体素位于控制窗口。在体外和体内实验，胎儿幻像和主题前臂被扫描使用手绘三维美国系统和重建使用建议贝塞尔插值算法和三种流行的插补算法分别。结果表明，该算法显著当原始的 B 扫描相对稀疏，且可以减少在灰度级插补误差的表现优于其它三种算法由 0.51-5.07。三维重建的速度可以提高 90.6 — —97.2%因为使用四个控制单三阶贝塞尔曲线点(即像素点) 是能够估计超过四个的体素，而体素值的估计往往需要在常规的像素的数目技术。

結果 (中文) 3:

写意三维超声（US）产生的
解剖对象的三维体积数据从一个序列的散乱的二维B超
图像（B）。我们在三维体素的强度，通过插值的像素从原B计算。目前的插值算法做的是不考虑原始数据的稀疏性，并且在计算中耗时。在本文中，我们的目标是以更有效的方式来执行的三维重建的写意我们与稀疏的原始数据。一种新的插值算法利用Bezier曲线。单次扫描原
扫描收集，和三阶Bezier曲线进行
逼近像素位于控制窗口。在体外和体内实验，胎儿的幻影和主体的前臂用写意三维超声扫描系统
和使用该
Bezier插值算法和三种插值算法重建，
分别。结果表明，该算法显着表现优于其他三种算法在原B相对稀疏和灰度插值误差可以通过0.51–5.07减少
。三维重建的速度可提高90.6–
97.2%因为一个三阶Bezier曲线的四个控制点（即，
像素点）可以估计超过四像素，而
估计的体素值往往需要在常规的像素的像素的技术。