J. Stinstra

Publications (2)2.15 Total impact

• Article: Establishing multiscale models for simulating whole limb estimates of electric fields for osseointegrated implants.

  Brad M Isaacson, Jeroen G Stinstra, Roy D Bloebaum, Paul F Pasquina, Rob S MacLeod
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  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.
  IEEE transactions on bio-medical engineering 06/2011; 58(10):2991-4. · 2.15 Impact Factor
• Source

  Available from: utah.edu

  Conference Proceeding: A system for image based finite element modeling of novel defibrillation strategies

  J.K. Triedman, M. Jolley, D. Brooks, R. MacLeod, J. Stinstra, S. Pieper
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  ABSTRACT: Recent development and dissemination of effective and highly automated devices for internal and external defibrillation have impacted the prognosis of sudden cardiac arrest. Evidence for the efficacy and safety and energy dosing of defibrillating devices is based largely on clinical experience in adults, but children and patients with congenital heart disease may have issues of body size and/or cardiac anatomy that may affect the delivery of electric fields to the heart. Finite element modeling may be used in these patients to simulate the effects of standard and novel defibrillation strategies. We present a system designed to allow rapid prototyping of highly-refined finite element models from anatomical images for the study of defibrillation of such patients for the purposes of procedural planning of defibrillation strategies, along with results from exemplary patients. In addition to providing a novel tool for cardiologists caring for these patient groups, this technology will be of significant value to those developing innovative defibrillator designs for patients of more standard body habitus, as well as to those interested in studying the bioelectric properties of the thorax for other applications.
  Life Science Systems and Applications Workshop, 2007. LISA 2007. IEEE/NIH; 12/2007