In orthopedic surgery, three-dimensional models are usually reconstructed through CT or MRI images. In urgent operations, the most common way for 3-D model reconstruction is to extract C-arm images by C-arm fluoroscopic imaging. However, it is harmful to human bodies because of the ionizing radiation.
Therefore, an alternative technique with model deformation for 3-D model reconstruction using C-arm images is presented in this paper. We reconstruct a rough 3D bone surface as a target model with fewer C-arm images using Visual Hull algorithm. A 3D model is prepared as a reference model and processed using a model deformable technique for medical applications.
Nowadays, physicians almost diagnose the disease of patients with 2D medical images, but it can not show the whole symptoms. Due to the advances and progress of computer techniques, physicians can capture the medical images through Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) in order to get a sequence of multi-view medical images which can help physicians to make the right decisions. However, these medical instruments are fairly expensive.
SourceYan-Ru Chen and Huei-Yung Lin 3-D Model Reconstruction from C-arm Images 2016 IEEE International Conference on Systems, Man, and Cybernetics • SMC 2016 | October 9-12, 2016 • Budapest, Hungary DOI: 10.1109/SMC.2016.7844607