Abstract

Info

Author(s):: FU Junze; JIA Qian; LI Jixiong; ZHANG Jianmin; School of Artificial Intelligence, Jianghan University, Wuhan 430056, China

Keywords:: Keywords: lung CT visualization three-dimensional reconstruction medical image

Abstract:: Abstract: A system for achieving two-dimensional (2D) visualization and three-dimensional (3D) reconstruction of lung images using CT data is designed. After DICOM image processing, and lung nodule segmentation and labeling, the multi-view and multi-resolution 3D display of lung parenchyma and nodules is realized using techniques such as resampling of CT sequences, 3D reconstruction based on surface rendering, and morphological processing. Finally, the interactive interface is designed for implementing the functions of image enhancement, 2D visualization, nodule delineation, 3D reconstructions of lung parenchyma and nodules, rotation, zooming and switching the viewpoint. Experimental results show that the system provides clear and accurate 2D image visualization and lesion delineation, while reconstructing nodules in the generated 3D images completely and smoothly. Compared with the existing similar medical processing software, the developed system substantially improves the reconstruction and visualization efficiencies, enabling doctors to observe 3D images more quickly and accurately, and assisting in disease diagnosis and surgical planning.