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使用水平集方法在二维超声心动图图像序列中测量左心室容积，以自动检测舒张末期和收缩末期帧。

Measuring Left Ventricular Volumes in Two-Dimensional Echocardiography Image Sequence Using Level-set Method for Automatic Detection of End-Diastole and End-systole Frames.

作者信息

Darvishi Saeed, Behnam Hamid, Pouladian Majid, Samiei Niloufar

机构信息

Faculty of Biomedical Engineering, Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IR Iran.

Department of the Electronic Engineering, Iran University of Science and Technology, Tehran, IR Iran.

出版信息

Res Cardiovasc Med. 2013 Feb;2(1):39-45. doi: 10.5812/cardiovascmed.6397. Epub 2013 Feb 24.

DOI:10.5812/cardiovascmed.6397
PMID:25478488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4253755/
Abstract

BACKGROUND

Identifying End-Diastole (ED) and End-Systole (ES) frames is highly important in the process of evaluating cardiac function and measuring global parameters accurately, such as Ejection Fraction (EF), Cardiac Output (CO) and Stroke Volume.

OBJECTIVES

The current study aimed to develop a new method based on measuring volume changes in Left Ventricle (LV) during cardiac cycle.

MATERIAL AND METHODS

For this purpose, the Level Set method was used both in detecting endocardium border and quantifying cardiac function of all frames.

RESULTS

Demonstrating LV volumes displays ED and ES frames and the volumes used in calculating the required parameters.

CONCLUSIONS

Since ES and ED frames exist in iso-volumic phases of the cardiac cycle with minimum and maximum values of LV volume signals, such peaks can be utilized in finding related frames.

摘要

背景

在准确评估心脏功能和测量诸如射血分数（EF）、心输出量（CO）和每搏输出量等整体参数的过程中，识别舒张末期（ED）和收缩末期（ES）帧非常重要。

目的

本研究旨在开发一种基于测量心动周期中左心室（LV）容积变化的新方法。

材料与方法

为此，水平集方法被用于检测心内膜边界和量化所有帧的心脏功能。

结果

展示左心室容积可显示ED和ES帧以及用于计算所需参数的容积。

结论

由于ES和ED帧存在于心动周期的等容相，此时左心室容积信号具有最小值和最大值，这些峰值可用于找到相关帧。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/060889198d7b/cardiovascmed-02-39-i005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/3caeca3497fe/cardiovascmed-02-39-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/a706e9557d21/cardiovascmed-02-39-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/43a969471142/cardiovascmed-02-39-i002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/f83e7619e5dc/cardiovascmed-02-39-i003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/e86bce0bc129/cardiovascmed-02-39-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/53d8e598d8ab/cardiovascmed-02-39-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/2aa27a0a9f9f/cardiovascmed-02-39-i004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/060889198d7b/cardiovascmed-02-39-i005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/3caeca3497fe/cardiovascmed-02-39-i001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/a706e9557d21/cardiovascmed-02-39-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/43a969471142/cardiovascmed-02-39-i002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/f83e7619e5dc/cardiovascmed-02-39-i003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/e86bce0bc129/cardiovascmed-02-39-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/53d8e598d8ab/cardiovascmed-02-39-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/2aa27a0a9f9f/cardiovascmed-02-39-i004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bf3/4253755/060889198d7b/cardiovascmed-02-39-i005.jpg

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