Digital three-dimensional model reconstruction of the cardiac cavity

doi:10.3969/j.issn.2095-4344.2014.49.017

Abstract

Abstract:

BACKGROUND: Digital three-dimensional model which can reflect the fine structure of the chambers inside heart not only enhances the understanding of cardiac physiology, but also provides basic medical data for the study of cardiac electrophysiology simulation and endocardial electrophysiological mapping navigation.

OBJECTIVE: To construct the digital three-dimensional model of cardiac cavity from sectional data and in conformity with the actual anatomical structure.

METHODS: Image segmentation was accomplished in MATLAB environment. Firstly, registration of human cardiac cavity slice dataset was realized. Secondly, classifying each composition was achieved by clustering method according to color characteristics of the image. Then, both cardiac cavity and related connected region was distinguished by region growing method. At last, the processed image was reconstructed through dedicated medical processing software into three-dimensional model of the cardiac cavity.

RESULTS AND CONCLUSION: The proposed method could reconstruct quite exquisite three-dimensional model of the cardiac cavity. In models, left and right atrial and ventricular structure was clear. Aorta and superior vena cava were visible. Three tricuspid and mitral valve were also observed. Results indicated that reconstructed model can reflect the anatomical characteristics of cardiac cavity accurately, and provide basic medical data for the study on electrophysiological simulation and endocardial electric mapping.

中国组织工程研究杂志出版内容重点：肾移植；肝移植；移植；心脏移植；组织移植；皮肤移植；皮瓣移植；血管移植；器官移植；组织工程

全文链接：

Key words: heart atria, heart ventricles, image processing, computer-assisted, cardiac electrophysiology, models, cardiovascular

CLC Number:

R318

Chen Zhong-zhong, Zhang Jian-fei, Su Zhi-jian, Lian Deng-wei, Yang Ya-ru, Zhu Hui-yu. Digital three-dimensional model reconstruction of the cardiac cavity [J]. Chinese Journal of Tissue Engineering Research, 2014, 18(49): 7967-7973.

Figures/Tables 4

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