Title :
Medical Image Reconstruction Based on ITK and VTK
Author :
Hui Dong ; Ling Xia ; Jin Zhang ; Andong Cai
Author_Institution :
Sch. of Electr. & Inf. Eng., Xihua Univ., Chengdu, China
Abstract :
Three-dimensional reconstruction of medical images can provide the direct, real sense for doctors and play an important role in clinical medicine. The medical images can be reconstructed by using the VTK (visualization toolkit). In this paper, we proposed a new method for medical image reconstruction platform which is developed based on ITK (Insight Segmentation and Registration Toolkit) and VTK. The itkBinaryMask3DMeshSource class is used to extract the surface of DICOM (Digital Imaging and Communications in Medicine) series, and then transform the mesh to the polygon data by the class of itkMeshTovtkPolyData, finally the 3D-visualization outcome will be visual displayed by the VTK. The experiment results demonstrate that the 3D-visualization system based on ITK Surface Extraction is efficiency and satisfy practical applications.
Keywords :
data visualisation; feature extraction; image reconstruction; image registration; image segmentation; medical image processing; 3D-visualization; DICOM; ITK surface extraction; VTK; clinical medicine; digital imaging and communications in medicine; insight segmentation and registration toolkit; itkBinaryMask3DMeshSource class; itkMeshTovtkPolyData; medical image reconstruction; polygon data; three-dimensional reconstruction; visualization toolkit; DICOM; Data visualization; Image reconstruction; Rendering (computer graphics); Surface reconstruction; Three-dimensional displays; 3D-Visualization; DICOM series; ITK; VTK; polydata; triangular mesh;
Conference_Titel :
Computer Sciences and Applications (CSA), 2013 International Conference on
Conference_Location :
Wuhan
DOI :
10.1109/CSA.2013.155
