• DocumentCode
    144002
  • Title

    An approach for estimation of the surface area of scalp flap based on the characteristic parameters after decompressive craniectomy

  • Author

    Lian Gao ; Ninghui Zhao ; Jinxi Zhao ; Qinhu Zhang ; Lanjuan Liu ; Yufeng Zhang ; He Sun ; Xinling Shi

  • Author_Institution
    Inf. Sch., Yunnan Univ., Kunming, China
  • fYear
    2014
  • fDate
    11-14 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An approach for the estimation of the surface area of scalp flap after decompressive craniectomy is presented in this paper to avoid the complications after cranioplasty since the area of the implanted prosthesis such as the titanium alloy is large than the surface area of the scalp flap. The estimation is based on the simulation model of skull with the characteristic parameters obtained from clinical statistics by using Mimics and the integration method to calculate the surface area of the scalp flap where the bone flap was removed for the relief of intractable intracranial hypertension in patients with severe traumatic brain injury by considering the sunken degree of the brain and scalp flap. In order to evaluate the performance of the proposed method, the comparison of the results obtained from the clinical statistical and simulation study is carried out. The results indicate that the computed value of the scalp flap area obtained from the simulation is consistent quite well with the results of clinical statistics.
  • Keywords
    area measurement; bone; brain; injuries; integration; prosthetics; bone flap; clinical statistics; decompressive craniectomy; implanted prosthesis; integration method; intractable intracranial hypertension; scalp flap; sunken degree; surface area estimation; titanium alloy; traumatic brain injury; Bones; Brain modeling; Computational modeling; Scalp; Skin; Skull; Solid modeling; character parameter; estimation of the surface area; integration method; sunken brain and scalp flap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioelectronics and Bioinformatics (ISBB), 2014 IEEE International Symposium on
  • Conference_Location
    Chung Li
  • Print_ISBN
    978-1-4799-2769-2
  • Type

    conf

  • DOI
    10.1109/ISBB.2014.6820949
  • Filename
    6820949