|Title||Comparison of four freely available frameworks for image processing and visualization that use ITK.|
|Publication Type||Journal Article|
|Year of Publication||2007|
|Authors||Bitter, I, Van Uitert, R, Wolf, I, Ibáñez, L, Kuhnigk, J-M|
|Journal||IEEE transactions on visualization and computer graphics|
|Date Published||2007 May-Jun|
Most image processing and visualization applications allow users to configure computation parameters and manipulate the resulting visualizations. SCIRun, VolView, MeVisLab, and the Medical Interaction Toolkit (MITK) are four image processing and visualization frameworks that were built for these purposes. All frameworks are freely available and all allow the use of the ITK C++ library. In this paper, the benefits and limitations of each visualization framework are presented to aid both application developers and users in the decision of which framework may be best to use for their application. The analysis is based on more than 50 evaluation criteria, functionalities, and example applications. We report implementation times for various steps in the creation of a reference application in each of the compared frameworks. The data-flow programming frameworks, SCIRun and MeVisLab, were determined to be best for developing application prototypes, while VolView was advantageous for nonautomatic end-user applications based on existing ITK functionalities, and MITK was preferable for automated end-user applications that might include new ITK classes specifically designed for the application.
|Alternate Journal||IEEE Trans Vis Comput Graph|