Publication of results in peer-reviewed journals is the traditional way of documenting and mediating progress in science. Consequently, open access publishing has had a noticeable effect on the ease with which scientific results become available. The current trend among research grant organisations is that the results of government-funded projects should be published in open access journals or should be otherwise publicly available.
IMAGEJ SOFTWARE VALIDATION CODE
On the other hand, open source software offers transparency and the ability to modify the source code is well-suited to academic research since it gives researchers the ability to see exactly how the algorithms are implemented. Commercially available software often offers limited functionality and frequently lacks the validation that is required for clinical studies. Thus, dedicated image analysis software is needed for quantitative medical imaging. It is freely available for research purposes provided that relevant original research publications related to the software are cited.Īpplied medical research is becoming more and more dependent on imaging for evaluation of the therapeutic effects of new drugs or therapies. Segment is a well-validated comprehensive software package for cardiovascular image analysis. The software has been made freely available for research purposes in a source code format on the project home page. We describe a technique to ensure continued accuracy and validity of the software by implementing and using a test script that tests the functionality of the software and validates the output. Here we present an overview of the validation results and validation procedures for the functionality of the software.
IMAGEJ SOFTWARE VALIDATION MANUAL
Some of its main features include loading of DICOM images from all major scanner vendors, simultaneous display of multiple image stacks and plane intersections, automated segmentation of the left ventricle, quantification of MRI flow, tools for manual and general object segmentation, quantitative regional wall motion analysis, myocardial viability analysis and image fusion tools. Segment can be used for image analysis in magnetic resonance imaging (MRI), computed tomography (CT), single photon emission computed tomography (SPECT) and positron emission tomography (PET). The aim of this article is therefore to present the design and validation of a cardiovascular image analysis software package (Segment) and to announce its release in a source code format. Such an initiative might then serve as a bridge between image analysis research and cardiovascular research. We believe that the work required to make a clinically applicable prototype can be reduced by making the software extensible, so that researchers can develop their own modules or improvements. However, it was distributed as a stand-alone application and other researchers could not extend it by writing their own custom image analysis algorithms. We have already implemented a cardiovascular image analysis software package and released it as freeware for the research community. Commercially available software for cardiovascular image analysis often has limited functionality and frequently lacks the careful validation that is required for clinical studies.
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