Registration-based Image Segmentation using Lattice Boltzmann Method

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Chen, Yu^1 ; Lu, Dongxiang^1

School of Information Engineering, Yancheng Teachers University, Yancheng, Jiangsu, China^1

关键词: Energy model;    Gradient descent flows;    Image Analysis and Interpretation;    Image series;    Lattice Boltzmann method;    Lattice boltzmann models;    Reference image;    Variational methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072010/pdf
DOI  :  10.1088/1757-899X/490/7/072010

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Image segmentation is the first and important step leading to image analysis and interpretation. Using image segmentation we can divide the image into different regions. In this study, a Lattice Boltzmann model is proposed for registration-based CTA segmentation. The energy model is established and can be minimized by variational method. The gradient descent flow was solved by the Lattice Boltzmann method. In the experiments, a reference image was selected from CTA image series and artificially segmented by experts. By aligning the images to the reference image, the bias of the voxels are obtained. At the same time the contours of the desired object are estimated at the low contrast region.