摘要
掌上超声仪受功率和超声频率的限制很难获取心脏B超图像,导致目前基于二维B超的左室射血分数(left ventricular ejection fraction,LVEF)测量不能在掌上超声仪上实现,而掌上超声仪能够通过M型超声获取心脏识别信息。对此,基于M型超声心动图Teichholz法提出了基于数字图像处理的LVEF自动计算方法。首先,将二尖瓣的影响考虑在内,同时为了之后的图像分割得到好的结果,将图像分为上下部分进行处理;其次,利用图像二值化的三角法对图像进行分割,对于上部分子图像进行二尖瓣信息的消除;最后,图像上下部分分别得到左心室室隔内膜和左心室后壁内膜的波形线,取得波峰波谷的位置数据,进行LVEF的计算。该方法所得LVEF的计算准确率达95.6%,计算效率为每张图像0.6秒。基于M型超声心动图的LVEF的自动测量方法,较手动方法测量效率更高,测量精度也在合理范围之内,对于掌上式超声诊断仪的半自动化甚至自动化有着极大的推进作用,具有较好的临床应用价值。
Due to the limitations of power and ultrasound frequency,it is difficult for handheld ultrasound systems to obtain cardiac B-ultrasound images.As a result,the current Left Ventricular Ejection Fraction(LVEF)measurement which is based on two-dimensional B-ultrasound cannot be achieved on handheld ultrasound systems.The ultrasound instrument can obtain heart identification information through M-mode ultrasound.For this,an automatic calculation method of LVEF based on digital image processing is proposed based on the Teichholz method of M-mode echocardiography.First of all,to take the influence of the mitral valve into account,and at the same time to obtain good results for the subsequent image segmentation,the image needs to be divided into upper and lower parts for processing;Secondly,the image is segmented by the triangulation method of image binarization,and the mitral valve information is eliminated for the upper part of the image;Finally,the waveform lines of the left ventricular septum and the left ventricular posterior wall are obtained in the upper and lower parts of the image,respectively,and the position data of the peaks and troughs are obtained,which are substituted into the formula for the calculation of LVEF.The calculation accuracy of LVEF obtained by this method is 95.6%,and the calculation efficiency is 0.6 seconds per image.The automatic measurement method of LVEF based on M-mode echocardiography is more efficient than manual methods,and the measurement accuracy is also within a reasonable range.It has a great promotion effect on the semi-automation or even automation of handheld ultrasound diagnostic equipment,and it also has good clinical application value.
作者
甘建红
李炜
GAN Jianhong;LI Wei(College of Software Engineering,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《成都信息工程大学学报》
2021年第6期624-628,共5页
Journal of Chengdu University of Information Technology
基金
四川省科技厅应用基础研究资助项目(2019YJ0361)
四川省科技厅重点研发资助项目(2021YFG0173)。