Diagnosis and treatment of navigation technology based on the multi-modality image fusion for angioneoplasm

In this paper, we want to proposes an original study of the 3D vascular registration based on the multi-modality image fusion (such as CT and MRI fusion). First, we combine the basic clinical knowledge technology into the three-dimensional image reconstruction of real human vascular model for the purpose of the practical treatment measurement. Diagnosis and treatment of navigation technology should be applied in Neural cerebrovascular disease interventional surgical operation assist system. Vascular interventional preoperative planning and training programmer could be help the Surgeon complete the Nerve of brain vascular interventional operation, and improve the development of the new Clinical application of cerebral aneurysms and other diseases. The aim of our research is to use feature extraction, optimal algorithm, wavelet transform realize the Multi modal image collection, registration and fusion process. In order to give the evaluation of image fusion performance parameters and so on, we make sure the preserving of the useful information and reduce noise pollution. To meet the needs of cardiovascular department of neurosurgery interventional construction of virtual reality system operation platform, we research on how to improve the authenticity and reliability of 3D reconstruction model for the Interventional neuroradiology.