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自由式三维超声重建中的探头扇区匹配。

Probe Sector Matching for Freehand 3D Ultrasound Reconstruction.

机构信息

School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China.

出版信息

Sensors (Basel). 2020 Jun 2;20(11):3146. doi: 10.3390/s20113146.

DOI:10.3390/s20113146
PMID:32498321
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7308927/
Abstract

A 3D ultrasound image reconstruction technique, named probe sector matching (PSM), is proposed in this paper for a freehand linear array ultrasound probe equipped with multiple sensors, providing the position and attitude of the transducer and the pressure between the transducer and the target surface. The proposed PSM method includes three main steps. First, the imaging target and the working range of the probe are set to be the center and the radius of the imaging field of view, respectively. To reconstruct a 3D volume, the positions of all necessary probe sectors are pre-calculated inversely to form a sector database. Second, 2D cross-section probe sectors with the corresponding optical positioning, attitude and pressure information are collected when the ultrasound probe is moving around the imaging target. Last, an improved 3D Hough transform is used to match the plane of the current probe sector to the existing sector images in the sector database. After all pre-calculated probe sectors are acquired and matched into the 3D space defined by the sector database, a 3D ultrasound reconstruction is completed. The PSM is validated through two experiments: a virtual simulation using a numerical model and a lab experiment using a real physical model. The experimental results show that the PSM effectively reduces the errors caused by changes in the target position due to the uneven surface pressure or the inhomogeneity of the transmission media. We conclude that the PSM proposed in this study may help to design a lightweight, inexpensive and flexible ultrasound device with accurate 3D imaging capacity.

摘要

本文提出了一种名为探头扇区匹配(PSM)的三维超声图像重建技术,适用于配备多个传感器的自由线性阵列超声探头,提供换能器的位置和姿态以及换能器与目标表面之间的压力。所提出的 PSM 方法包括三个主要步骤。首先,将成像目标和探头的工作范围分别设置为成像视场的中心和半径。为了重建三维体积,需要预先计算所有必要的探头扇区的位置,以形成扇区数据库。其次,当超声探头在成像目标周围移动时,采集具有相应光学定位、姿态和压力信息的 2D 截面探头扇区。最后,使用改进的 3D Hough 变换将当前探头扇区的平面与扇区数据库中现有的扇区图像进行匹配。在获取并将所有预先计算的探头扇区匹配到扇区数据库定义的三维空间后,完成三维超声重建。通过数值模型的虚拟仿真和真实物理模型的实验室实验对 PSM 进行了验证。实验结果表明,PSM 有效地减少了由于目标位置因表面压力不均匀或传输介质不均匀而发生变化所引起的误差。我们得出结论,本文提出的 PSM 可能有助于设计具有精确三维成像能力的轻便、廉价和灵活的超声设备。

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本文引用的文献

1
A semi-automatic 3D ultrasound reconstruction method to assess the true severity of adolescent idiopathic scoliosis.一种半自动 3D 超声重建方法,用于评估青少年特发性脊柱侧凸的真实严重程度。
Med Biol Eng Comput. 2019 Oct;57(10):2115-2128. doi: 10.1007/s11517-019-02015-9. Epub 2019 Jul 31.
2
Instrumentation of off-the-shelf ultrasound system for measurement of probe forces during freehand imaging.将现成的超声系统进行仪器改装,以测量自由成像过程中探头的力。
J Biomech. 2019 Jan 23;83:117-124. doi: 10.1016/j.jbiomech.2018.11.032. Epub 2018 Nov 26.
3
Robust Estimation of Displacement in Real-Time Freehand Ultrasound Strain Imaging.
实时徒手超声应变成像中位移的鲁棒估计。
IEEE Trans Med Imaging. 2018 Jul;37(7):1664-1677. doi: 10.1109/TMI.2018.2795085.
4
Fully Automatic Three-Dimensional Ultrasound Imaging Based on Conventional B-Scan.基于传统 B 扫描的全自动三维超声成像。
IEEE Trans Biomed Circuits Syst. 2018 Apr;12(2):426-436. doi: 10.1109/TBCAS.2017.2782815.
5
Freehand 3-D Ultrasound Imaging: A Systematic Review.徒手三维超声成像:系统评价。
Ultrasound Med Biol. 2017 Oct;43(10):2099-2124. doi: 10.1016/j.ultrasmedbio.2017.06.009. Epub 2017 Jul 14.
6
3-D ultrasonic strain imaging based on a linear scanning system.基于线性扫描系统的三维超声应变成像
IEEE Trans Ultrason Ferroelectr Freq Control. 2015 Feb;62(2):392-400. doi: 10.1109/TUFFC.2014.006665.
7
Accurate calibration method for 3D freehand ultrasound probe using virtual plane.基于虚拟平面的三维自由臂超声探头精确标定方法
Med Phys. 2011 Dec;38(12):6710-20. doi: 10.1118/1.3663674.
8
Medical image analysis.医学图像分析。
IEEE Pulse. 2011 Nov;2(6):60-70. doi: 10.1109/MPUL.2011.942929.
9
3D ultrasound reconstruction algorithms from analog and digital data.模拟和数字数据的 3D 超声重建算法。
Ultrasonics. 2011 May;51(4):405-19. doi: 10.1016/j.ultras.2010.11.007. Epub 2010 Nov 23.
10
Area-preserving flattening maps of 3D ultrasound carotid arteries images.三维超声颈动脉图像的面积保持扁平化映射图。
Med Image Anal. 2008 Dec;12(6):676-88. doi: 10.1016/j.media.2008.04.002. Epub 2008 May 7.