Research On 3D Reconstruction For Medical Images

3D reconstruction for medical images is a hot subject of medical images processing, belonging to multi-disciplinary subject, involved in computer graphics and image processing in biomedicine engineering.The algorithms and application of medical images 3D reconstruction are mainly studied. The methods are discussed of 3D surface reconstruction and volume rendering. To obtain the more accurate results, an interactive image segmentation algorithm is presented. This paper provides a fast mass data-grouping algorithm to meet the clinical requirements, such as surgery simulation, organ selection and separating. Based on the algorithm of fly-path generation automatically, the physical model-based virtual endoscopy technique is presented. The experiments demonstrate the algorithms of image segmentation, mass data grouping and fly-path generation are more robust and practical. In additional, a software toolkit is developed for 3D medical image processing.