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

Content Provider	IEEE Xplore Digital Library
Author	Baofeng Gao Shuxiang Guo Kangqi Hu
Copyright Year	2014
Description	Author affiliation: Key Lab. of Biomimetic Robots & Syst., Beijing Inst. of Technol., Beijing, China (Baofeng Gao; Shuxiang Guo; Kangqi Hu)
Abstract	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.
Starting Page	565
Ending Page	570
File Size	807395
Page Count	6
File Format	PDF
ISBN	9781479939787
e-ISBN	9781479939794
DOI	10.1109/ICMA.2014.6885759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computed tomography Catheters Magnetic resonance imaging Solid modeling Biomedical imaging Surgery Virtual reality Minimally Invasive Surgery (MIS) Diagnosis and treatment of navigation technology the multi-modality image fusion Virtual Reality based Robotic Catheter System
Content Type	Text
Resource Type	Article

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