• DocumentCode
    1260042
  • Title

    Establishing Multiscale Models for Simulating Whole Limb Estimates of Electric Fields for Osseointegrated Implants

  • Author

    Isaacson, B.M. ; Stinstra, J.G. ; Bloebaum, R.D. ; Pasquina, Paul F. ; MacLeod, R.S.

  • Author_Institution
    Walter Reed Army Med. Center, Advancement of Mil. Med., Inc., Washington, DC, USA
  • Volume
    58
  • Issue
    10
  • fYear
    2011
  • Firstpage
    2991
  • Lastpage
    2994
  • Abstract
    Although the survival rates of warfighters in recent conflicts are among the highest in military history, those who have sustained proximal limb amputations may present additional rehabilitation challenges. In some of these cases, traditional prosthetic limbs may not provide adequate function for service members returning to an active lifestyle. Osseointegration has emerged as an acknowledged treatment for those with limited residual limb length and those with skin issues associated with a socket together. Using this technology, direct skeletal attachment occurs between a transcutaneous osseointegrated implant (TOI) and the host bone, thereby eliminating the need for a socket. While reports from the first 100 patients with a TOI have been promising, some rehabilitation regimens require 12-18 months of restricted weight bearing to prevent overloading at the bone-implant interface. Electrically induced osseointegration has been proposed as an option for expediting periprosthetic fixation and preliminary studies have demonstrated the feasibility of adapting the TOI into a functional cathode. To assure safe and effective electric fields that are conducive for osseoinduction and osseointegration, we have developed multiscale modeling approaches to simulate the expected electric metrics at the bone--implant interface. We have used computed tomography scans and volume segmentation tools to create anatomically accurate models that clearly distinguish tissue parameters and serve as the basis for finite element analysis. This translational computational biological process has supported biomedical electrode design, implant placement, and experiments to date have demonstrated the clinical feasibility of electrically induced osseointegration.
  • Keywords
    artificial limbs; bioelectric phenomena; biomedical electrodes; computerised tomography; finite element analysis; image segmentation; medical image processing; patient rehabilitation; physiological models; skin; TOI; biomedical electrode design; bone-implant interface; computational biological process; computed tomography scans; electric field; electrically induced osseointegration; finite element analysis; implant placement; military history; multiscale model; osseoinduction; periprosthetic fixation; prosthetic limbs; proximal limb amputations; rehabilitation regimen; skeletal attachment; skin issues; socket; tissue parameters; transcutaneous osseointegrated Implants; volume segmentation tools; warflghters; whole limb estimates; Biological system modeling; Bones; Computational modeling; Current density; Electric fields; Electric potential; Implants; Biomedical electrodes; electrical stimulation; finite element analysis (FEA); osseointegration; skeletal attachment; Amputation Stumps; Amputees; Artificial Limbs; Electric Stimulation; Electrodes; Electromagnetic Fields; Humans; Image Processing, Computer-Assisted; Models, Biological; Osseointegration; Prosthesis Design; Tomography, X-Ray Computed; Veterans;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2160722
  • Filename
    5934366