Automatic generation of a computational model for monopolar stimulation of cochlear implants

  • Authors
  • Mangado, Nerea; Ceresa, Mario; Duchateau, Nicolas; Dejea Velardo, Héctor; Kjer, Hans Martin; Paulsen, Rasmus; Vera, Sergio; Mistrik, Pavel; Herrero Jover, Javier; González Ballester, Miguel Ángel
  • UPF authors
  • GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Type
  • Scholarly articles
  • Journal títle
  • International Journal of Computer Assisted Radiology and Surgery
  • Publication year
  • 2015
  • Volume
  • 10
  • Number
  • S1
  • Pages
  • 67-68
  • ISSN
  • 1861-6410
  • Publication State
  • Published
  • Abstract
  • electrical stimulation pattern [2]. However, the virtual implant placement and mesh generation were carried out manually and the process was not easily applied automatically for further cochlear anatomies. Moreover, in order to optimize the implant designs, it is important to develop a way to stimulate the results of the implantation in a population of virtual patients. In this work we propose an automatic framework for patient-specific electrical simulation in CI surgery. Tothe best of ourknowledge, this is the first method proposed for patient-specific generation of hearing models which combines high-resolution imaging techniques, clinical CT data and virtual electrode insertion. Furthermore, we show that it is possible to use the computational models of virtual patients to simulate the results of the electrical activation of the implant in the cochlea and surrounding bone. This is an important step because it allows us to advance towards a complete surgical planning and implant optimization procedure.
  • Complete citation
  • Mangado, Nerea; Ceresa, Mario; Duchateau, Nicolas; Dejea Velardo, Héctor; Kjer, Hans Martin; Paulsen, Rasmus; Vera, Sergio; Mistrik, Pavel; Herrero Jover, Javier; González Ballester, Miguel Ángel. Automatic generation of a computational model for monopolar stimulation of cochlear implants. International Journal of Computer Assisted Radiology and Surgery 2015; 10(S1): 67-68.
Bibliometric indicators
  • Índex Scimago de 0.524(2015)