Registration-based Automatic 3D Segmentation of Cardiac CT Images
LI Li-hua
YANG Rong-qian
HUANG Yue-shan
WU Xiao-ming
摘要：Segmenting whole heart from cardiac computed tomography (CT) images can provide an important basis for the evaluation of cardiac function and help improve the accuracy of clinical diagnosis. Manual segmentation is the most accurate method for cardiac segmentation. But it is time consuming and not sufficiently reproducible. However, clinicians still rely on this method in practical applications. So a fully automatic method is needed to improve the segmentation efficiency. This paper proposes a registration-based automatic approach for three-dimensional (3D) segmentation of cardiac CT images. The proposed method utilizes the similarity of cardiac CT images between different individuals, and uses registration to achieve the segmentation. Affine transformation is firstly implemented to achieve global coarse registration. Then, cubic B-splines are used to refine the local details in locally accurate registration. Mutual information (Ml) is used as the similarity measure, and adaptive stochastic gradient descent (ASGD) as the optimization algorithm. Our method is applied to the dual-source cardiac CT images to segment whole heart. Experimental results show that the proposed method can automatically segment whole heart from cardiac CT images.
机标关键词：CT imagesoptimization algorithmcomputed tomographysimilarity measureclinical diagnosisgradient descentcardiac functionautomatic method
分类号：TP391.4(计算技术、计算机技术)
论文发表日期：2016-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：7( 93-99 )
英文信息