The NIH/NIGMS
Center for Integrative Biomedical Computing

The SCIRun ECG Forward/Inverse Toolkit is a collection of modules and networks within the SCIRun system which can be used to solve forward and inverse electrocardiography problems.

The purpose of this toolkit is to advance the state of forward and inverse solutions in this field by offering a common platform for investigators and others to compare geometries and geometric representations, forward and inverse algorithms and data, with the maximum degree of both flexibility and commonality that we can achieve. Thus, we hope to increase the "reproducibility" of developments in this field and help move these technologies closer to useful clinical applications. As such, the software (like all of SCIRun) is open-source, modular, and extensible. We follow modern open-source software engineering practices to maximize portability, extensibility, and reliability of our software. SCIRun has a built-in facility for connecting with Matlab so that processing can be carried out jointly using both programs. In addition, the ECG Forward/Inverse Toolkit features capabilities which allow the user to interface with ECGSim (http://www.ecgsim.org), a popular software package for solving certain types of forward ECG problems with a high degree of interactive control over source models).



Forward/Inverse Toolkit Acknowledgement
 Forward/Inverse Toolkit License
CIBC Acknowledgement


Acknowledgement: The Forward/Inverse Toolkit is an Open Source software project that is principally funded through the SCI Institute's NIH/NIGMS CIBC Center. Please use the following acknowledgment and send us references to any publications, presentations, or successful funding applications that make use of NIH/NIGMS CIBC software or data sets.

 "This project was supported by the National Institute of General Medical Sciences of the National Institutes of Health under grant numbers P41 GM103545 and R24 GM136986.”





BrainStimulator License

The Forward/Inverse Toolkit is available for free and open source under the MIT License

The MIT License Copyright (c) 2010 Scientific Computing and Imaging Institute, University of Utah. License for the specific language governing rights and limitations under Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.



NIH/NIGMS Center for Integrative Biomedical Computing Acknowledgment


CIBC software and the data sets provided on this web site are Open Source software projects that are principally funded through the SCI Institute's NIH/NIGMS CIBC SCIRun License For us to secure the funding that allows us to continue providing this software, we must have evidence of its utility. Thus we ask users of our software and data to acknowledge us in their publications and inform us of these publications. Please use the following acknowledgment and send us references to any publications, presentations, or successful funding applications that make use of the NIH/NIGMS CIBC software or data sets we provide.

"This project was supported by the National Institute of General Medical Sciences of the National Institutes of Health under grant numbers P41 GM103545 and R24 GM136986.”