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一种用于评估膈肌变形的新型归一化互相关斑点追踪超声算法

A Novel Normalized Cross-Correlation Speckle-Tracking Ultrasound Algorithm for the Evaluation of Diaphragm Deformation.

作者信息

Ye Xiong, Liu Zhi, Ma Ying, Song Ye, Hu Lihua, Luo Jianwen, Xiao Hui

机构信息

School of Clinical Medicine, Shanghai University of Medicine & Health Sciences, Shanghai, China.

National Medical Products Administration (NMPA) Key Laboratory for Respiratory and Anaesthetic Equipment, Shanghai, China.

出版信息

Front Med (Lausanne). 2021 Mar 12;8:612933. doi: 10.3389/fmed.2021.612933. eCollection 2021.

Abstract

To develop a two-dimensional normalized cross-correlation (NCC)-based ultrasonic speckle-tracking algorithm for right diaphragm deformation analysis. Six healthy and eight mechanical ventilation patients were enrolled in this study. Images were acquired by a portable ultrasound system in three sections. DICOM data were processed with NCC to obtain the interframe/cumulative vertical and horizontal displacements, as well as the global strain of the right diaphragm, with continuous tracking and drift correction. The NCC algorithm can track the contraction and relaxation of the right diaphragm by following the respiratory movement continuously. For all three sections, the interframe and accumulated horizontal displacements were both significantly larger than the corresponding vertical displacements (interframe values: 0.031, 0.004, and 0.000; cumulative values: 0.039, 0.001, and <0.0001). For the global strain of the right diaphragm, there was no significant difference between each pair of sections (all > 0.05), regardless of whether the horizontal interval of the initial diaphragm point was 1, 3, 5, or 10 times in the sampling interval. This study developed a novel diaphragm deformation ultrasound imaging method. This method can be used to estimate the diaphragm interframe/accumulated displacement in the horizontal and vertical directions and the global strain on three different imaging planes, and it was found that the strain was not sensitive to the imaging plane.

摘要

开发一种基于二维归一化互相关(NCC)的超声斑点追踪算法,用于分析右膈肌变形。本研究纳入了6名健康受试者和8名机械通气患者。通过便携式超声系统在三个平面采集图像。利用NCC对DICOM数据进行处理,以获得帧间/累积垂直和水平位移以及右膈肌的整体应变,并进行连续追踪和漂移校正。NCC算法可通过持续跟踪呼吸运动来追踪右膈肌的收缩和舒张。在所有三个平面中,帧间和累积水平位移均显著大于相应的垂直位移(帧间值:0.031、0.004和0.000;累积值:0.039、0.001和<0.0001)。对于右膈肌的整体应变,无论初始膈肌点的水平间距在采样间隔中是1、3、5还是10倍,各平面之间均无显著差异(均>0.05)。本研究开发了一种新型的膈肌变形超声成像方法。该方法可用于估计膈肌在水平和垂直方向的帧间/累积位移以及三个不同成像平面上的整体应变,并且发现应变对成像平面不敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb58/7994279/f2d2eaf92d77/fmed-08-612933-g0001.jpg

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