计算机与现代化Issue(5)：75-79,5.DOI:10.3969/j.issn.1006-2475.2024.05.013
基于MR的左心房纤维化区域分割与重建
Segmentation and Reconstruction of Left Atrial Fibrosis Based on MR
摘要
Abstract
The current mainstream segmentation method for left atrial fibrosis is to manually divide the atrial wall area first,and then use threshold method to extract the fibrosis part within the atrial wall area.This not only requires the operator to have profes-sional background knowledge,but also requires a large workload,and the threshold method is also difficult to accurately seg-ment fibrosis areas with different degrees of severity at the same time.To address the above issues,this paper proposes a new method for segmenting fibrotic regions in MR images.Firstly,the Laplace sharpening algorithm is used to improve the contrast of the fibrotic area,while the kernel correlation filtering algorithm is used to track the target area to remove tissue outside the atrium;Secondly,the segmentation effects of region growth method,active contour method,and Hessian matrix based segmenta-tion algorithm on fibrotic regions were compared,and the most effective segmentation method was selected;Finally,we recon-struct and render the 3D point cloud data of the fiber region.The experimental results show that this method does not require manual segmentation of the cardiac atrial wall region by image,and the segmentation results have high accuracy,which can bet-ter assist doctors in diagnosing related diseases.关键词
MR图像/心房纤维化/图像增强/目标跟踪/分割算法Key words
magnetic resonance imaging/atrial fibrosis/image enhancement/target tracking/segmentation algorithm分类
医药卫生引用本文复制引用
贾子煜,黄欢,胡春艾,窦丽娜..基于MR的左心房纤维化区域分割与重建[J].计算机与现代化,2024,(5):75-79,5.基金项目
国家自然科学基金资助项目(61503167) （61503167）
