An Automated Method for Assessment of Sublingual Microcirculatory Perfusion Based on Videos
10.3969/j.issn.1671-7104.2014.04.005
- VernacularTitle:基于视频的舌下微循环血流灌注自动评价方法
- Author:
Fei LV
1
;
Xingqun ZHAO
Author Information
1. 东南大学生物科学与医学工程学院
- Keywords:
sublingual microcirculation;
microcirculatory perfusion;
functional capillary density;
threshold segmentation;
region growing
- From:
Chinese Journal of Medical Instrumentation
2014;(4):251-254
- CountryChina
- Language:Chinese
-
Abstract:
Objective The assessment result of microcirculatory perfusion provides significant evidence for the detection of microcirculatory alterations in sepsis patients, and functional capilary density based on vessel segmentation can refl ect microcirculatory perfusion effectively.Methods First, preprocessing comprise operations to improve the quality of images in order to maximize the contrast between background and vessels. Secondly, adaptive local thresholding is used for initial segmentation to get the general vessel region. Finaly, post-processing technique reduces the image artifacts and links the vessel fragment, and then functional capilary density is calculated based on the segmentation results.Results Several sublingual microcirculatory data have been tested, and the agreement between the results by AVA and the proposed algorithm reached up to 92%.Conclusions The method can realize automated assessment of sublingual microcirculatory perfusion rapidly and accurately, and has strong clinical value.
