1 - 11 of 11 results

ROAST / Realistic vOlumetric-Approach to Simulate Transcranial electric stimulation

Permits modeling of transcranial electrical stimulation (TES). ROAST employs the volumetric segmentation from SPM. It processes individual magnetic resonance imagery (MRI) volumes in a fully automated fashion to generate 3D renderings of the resulting current distributions. This tool divides the full head, arranges virtual electrodes, returns a finite element model (FEM) mesh and solves for voltage and electric field distribution.


A software framework to create 3D finite element models of the left ventricle from cardiac ultrasound or magnetic resonance imaging (MRI) data. The framework is hardware vendor independent and uses speckle tracking (endocardial border detection) on ultrasound imaging data in the form of DICOM. Standard American Heart Association segment-based strain analysis can be performed using a browser-based interface. The speckle tracking, border detection and model fitting methods are implemented in C++ using open-source tools. They are wrapped as web services and orchestrated via a JBOSS-based application server.


Allows to create a high-quality, matched template for a pediatric sample, based on the statistical analysis of a large, healthy pediatric reference population. The Template-O-Matic Toolbox has been updated to run in SPM8. It allows the user to generate customized priors for "classical" unified segmentation (GM, WM, CSF, and T1) as well as for "new segment" (GM, WM, CSF, T1 plus 3 non-brain tissue classes in a single .nii-file). This version also includes an integrated update algorithm that allows easy access to possible updates and fixes.


Permits the incorporation of high-performance soft tissue simulation capabilities into biomedical application. NiftySim is based on the total Lagrangian explicit dynamics (TLEDs) algorithm. It contains (i) membrane and shell formulations compatible with TLED’s explicit time integration; (ii) specialized contact models and; (iii) a general-purpose mesh-based contact model with a collision response formulation. This tool uses GPU technology for biomechanical simulation research in medical image computing, surgical simulation and surgical guidance applications.

Visible patient

Provides a list of tools to aid researchers in reading, interpreting, reporting, and treatment planning. Visible patient includes detection and labeling tools of organ segments. It contains basic imaging tools for: (1) general images; (2) including 2D viewing, (3) volume rendering and 3D volume viewing, (4) orthogonal Multi-Planar Reconstructions (MPR), (5) image fusion, (6) surface rendering, (7) measurements, (8) reporting, (9) storing, (10) general image management; and (11) administration.