心室浦肯野纤维网的平面线提取  

Extraction on Purkinje Fibre Network of the Ventricle In 2D Image

作　　者：黎捷[1] 吕伟刚[2] 

机构地区：[1]燕山大学电气工程学院,河北秦皇岛066004 [2]中国海洋大学教育技术系,山东青岛266001

出　　处：《智能计算机与应用》2013年第4期91-92,94,共3页Intelligent Computer and Applications

基　　金：河北省科技支撑计划自然科学基金青年基金项目(F2013203191);秦皇岛市科学技术研究与发展计划项目(2012021A039)

摘　　要：浦肯野纤维网是心脏中的重要传导系统,位于心室肌内膜层,对心室的生理病理状态具有重要影响。传统的医学成像,如磁共振(MRI)或计算机断层扫描(CT)等方法,可以成像出部分纤维网,很难将纤维网的完整形态描述出来。以浦肯野纤维网的解剖图像为基础,提取浦肯野纤维网的平面线结构,将较为完整的浦肯野纤维网的二维形态展现出来。The purkinje fiber network （PFN） is a very important conduction system in the endocardial surface of the ventricle, whose structure is crucial in ventricular physiopathologics. Traditional medical imaging methods, such as magnetic resonance imaging （MRI） or computed tomography （ CT）, fail to reveal the PFN information well. In this work, the paper has proposed a semi - automated method for extracting PFN from the fractal structure in the left ventricle, which is proved to be feasible and efficient in the visualization and simulation of the heart, and is more adaptive to the extraction of the canine left ventricular purkinje fiber network from the fractal structure.

关 键 词：浦肯野纤维网 平面图像 曲线提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]