Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Figure from B.M. Issacson, et al., A unilateral hierarchical model was assembled as a representative image consisting of skin (purple) adipose tissue (yellow), musculature (pink), bone (blue), bone marrow (orange), and internal organs (green) (a). Each tissue type was assigned a specific conductivity using SCIRun. A large serpentine-like mass of HO was identified in the medial aspect of the residual limb, and was demonstrated in more detail in an axial cross section of the affected limb (b).
Osseointegration is a surgical procedure that provides direct skeletal attachment between an implant and host tissue with proven success in dental, auricle, and transfemoral implants. However, one challenge with using natural biological fixation is attaining a strong skeletal interlock at the implant interface, a prerequisite for long-term implant function. Utilizing metallic implants as a means of biological fixation has been the objective of orthopedic surgeons over the past two centuries. However, controlling osteogenesis at the implant interface, which is essential for providing strong skeletal fixation, remains challenging. Regulated electrical stimulation has proven effective in fracture healing and non-traumatized bone models, but has not been investigated in a percutaneous osseointegrated implant system. One advantage of the veteran patient population is that an orthopedic implant protrudes from the residual limb functioning as an exoprosthesis attachment and may operate as a potential cathode for an external electrical stimulation device.

Therefore, the objective of this collaboration is to build upon the previous, well proven, clinical success of electrically induced bone growth used to augment fracture healing and expand this technology to accelerate osseointegration in the percutaneous model for amputees. Since osseointegration technology is still fairly new for lower extremity amputees and not utilized clinically in the United States, ways to increase its efficiency are still developing. The CIBC collaborator is addressing this limitation by developing an Osseointegrated Intelligent Implant Design (OIID) system which has been awarded a United States provisional patent with the University of Utah Technology Commercialization Office as a novel rehabilitation tool to improve osseointegration technology. The addition of electrical stimulation may increase the rate, magnitude, and quality of initial skeletal attachment to the osseointegrated prosthetic stem.

To validate the general hypothesis that electrical stimulation will increase skeletal attachment, a two phase project has been designed that utilizes in vitro, in vivo, and in silico modalities to confirm the safety and efficacy of this technology prior to implementation in amputees. The specific hypotheses for this model are founded on histological assessment, mechanical testing, and finite element analysis. The research hypothesis from the Bloebaum group that is most relevant to the Center is that, "Finite element based simulation analysis of veteran and warrior amputee residual limbs imaged with computed tomography scans will reveal that safe and effective current densities and electric fields will be attainable at the bone-implant interface."

To evaluate this hypothesis by creating the necessary simulation infrastructure, the Center has been working toward the following technical aims:

Aim 1: Develop segmentation and mesh generation support that is adapted to orthopedic applications like this one and to facilitate the rapid generation of accurate geometric models of amputees and the implants and stimulation electrodes required for these modeling applications.

Aim 2: Accelerate the computations required to simulate electric fields and current densities for any selected boundary conditions of implant and skin surface electrodes and provide extensive visualization of the results that include certainty and parameter sensitivity.

Aim 3: Develop estimation and optimization strategies for locating skin surface electrodes in ways that maximize the growth potential for electrical stimulation of osseointegration.

Recent Progress

Within this field, poor prosthetic fit is often the result of heterotopic ossification (HO), a frequent problem following blast injuries for returning service members. Osseointegration technology offers an advantage for individuals with significant HO and poor socket tolerance by using direct skeletal attachment of a prosthesis to the distal residual limb, but remains limited due to prolonged post-operative rehabilitation regimens. Therefore, electrical stimulation has been proposed as a catalyst for expediting skeletal attachment and the bioelectric effects of HO were evaluated using finite element analysis in 11 servicemen with transfemoral amputations. Retrospective computed tomography (CT) scans provided accurate reconstructions, and volume conductor models demonstrated the variability in residual limb anatomy and necessity for patient-specific modeling to characterize electrical field variance if patients were to undergo a theoretical osseointegration of a prosthesis. In this investigation, the volume of HO was statistically significant when selecting the optimal potential difference for enhanced skeletal fixation, since higher HO volumes required increased voltages at the periprosthetic bone (p = 0.024, r = 0.670). Results from Spearman's rho correlations also indicated that the age of the subject and volume of HO were statistically significant and inversely proportional, in which younger service members had a higher frequency of HO (p = 0.041, r = −0.622). This study demonstrates that the volume of HO and age may affect the voltage threshold necessary to improve current osseointegration procedures.

The CT files collected during the study were imported into Seg3D. The tissue boundaries of the internal organs, bone, bone marrow, and adipose tissue were generated by thresholding the CT files interactively using fixed thresholded values for all of the patients' CTs. Musculature was obtained by manually setting seed points inside the tissue and using a confidence connected filter to find all the tissue connected to the seed points since the complex geometry required additional image processing. Because the skin was impossible to discern reliably from CT images, an estimate of the skin layer was generated by dilating the outermost visible tissue to produce a 2-mm layer of homogeneous thickness (the average thickness of human skin) to surround the full model.

Figures from B.M. Issacson et al., Three dimensional reconstruction of a service members with (from left to right) with no visible signs of HO; 26.53 cm3 of HO; 74.25 cm3 of HO; and 115.96 cm3 of HO


Osseointegration may offer significant improvements in prosthetic management of individuals with limb loss, especially those with complex residual limbs with HO and subsequent difficultly with socket fit and comfort. Controlled electrical stimulation may accelerate rehabilitation programs for osseointegrated implants once safety and efficacy are verified, but research has presently shown that current density must be controlled in the distal residual limb on a patient-specific basis using FEA. Statistical evaluations in this model demonstrated that the volume of HO compared to age and volume of HO compared to the optimal potential difference were significant. Therefore, if electrical stimulation is to be used in the future for individuals with percutaneous osseointegrated implants, careful electrode placement must be based on the volume of HO, age of the patient population, and comorbidities from blast injuries.

Associated Publications

B.M. Isaacson, J.G. Stinstra, R.S. Macleod, P.F. Pasquina, R.D. Bloebaum. "Developing a Quantitative Measurement System for Assessing Heterotopic Ossification and Monitoring the Bioelectric Metrics from Electrically Induced Osseointegration in the Residual Limb of Service Members." in Ann Biomed Eng. 2010 May 11.