title: Real-time in vitro intravascular reconstruction and navigation for endovascular aortic stent grafting.
abstract: BACKGROUND
  Trans-catheter endovascular stent grafting minimizes trauma and increases the benefitting patient population. However, the alignment between stent graft branches and vasculature branches remains time-consuming and challenging, and such techniques require a significant amount of contrast agent for imaging.
  
  
  METHODS
  A new framework for intravascular reconstruction based on sensor fusion between intravascular ultrasound (IVUS) imaging and electromagnetic (EM) tracking was proposed. A new image processing method was presented to realize fully automatic processing of IVUS imaging and 3D reconstruction in real time, as well as branch detection for alignment and deployment. Complementary navigation using CT data allows for efficient catheter advancement and assistant clinical judgement.
  
  
  RESULTS
  The reconstruction of an in vitro descending aorta phantom with branches was realized at 35 Hz, with cross-section radius average error of 0.64 mm.
  
  
  CONCLUSIONS
  The proposed method demonstrates significant potential for clinical applications, enables navigation for precise alignment and placement for stent grafting to reduce surgical time, and decreases hemorrhagic collisions and the use of contrast agent. Copyright © 2016 John Wiley & Sons, Ltd.
authors: Dept. of Computing, Imperial College London, UK.
authors: Chaoyang
authors: C
authors: Shi
authors: Department of Micro-nano Systems Engineering, Nagoya University, Nagoya, Japan.
authors: Carlos
authors: C
authors: Tercero
authors: Dept. of Computing, Imperial College London, UK.
authors: Xianliang
authors: X
authors: Wu
authors: Department of Micro-nano Systems Engineering, Nagoya University, Nagoya, Japan.
authors: Seiichi
authors: S
authors: Ikeda
authors: Division of Vascular Surgery, Graduate School of Medicine, Nagoya University.
authors: Kimihiro
authors: K
authors: Komori
authors: Division of Vascular Surgery, Graduate School of Medicine, Nagoya University.
authors: Kiyohito
authors: K
authors: Yamamoto
authors: Department of Micro-nano Systems Engineering, Nagoya University, Nagoya, Japan.
authors: Fumihito
authors: F
authors: Arai
authors: Department of Micro-nano Systems Engineering, Nagoya University, Nagoya, Japan.
authors: Toshio
authors: T
authors: Fukuda
mesh_terms: D001013:Aorta, Thoracic / Q000601:surgery*; D001331:Automation; D001696:Biomechanical Phenomena; D003287:Contrast Media / Q000737:chemistry; D060733:Electromagnetic Radiation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D019047:Phantoms, Imaging; D019651:Plastic Surgery Procedures / Q000379:methods*; D015607:Stents; D025321:Surgery, Computer-Assisted / Q000379:methods; D014057:Tomography, X-Ray Computed; D014656:Vascular Surgical Procedures / Q000379:methods*
chemical_list: D003287:Contrast Media