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/**
\page OverviewPage Introduction: Overview on the Medical Imaging Interaction Toolkit (MITK)
Four issues are important for advanced interactive medical imaging software:
- the data, not only the original images, but also other data like segmentation results,
surfaces, vessel-trees, etc.,
- the algorithms to extract information from the data or to generate new data,
- the visualization of the data, which requires information about the position of the data
in space and time and
- to allow the user to conveniently interact with the data.
-Today, there are two major open-source toolkits for visualization and image processing:
-
- - the Visualization Toolkit (VTK), which provides "a wide variety
-of visualization algorithms including scalar, vector, tensor, texture, and volumetric methods;
-and advanced modeling techniques such as implicit modelling, polygon reduction, mesh smoothing,
-cutting, contouring, and Delaunay triangulation. In addition, dozens of imaging algorithms have
-been directly integrated to allow the user to mix 2D imaging / 3D graphics algorithms and data."
-(from the Visualization Toolkit (VTK) ).
-
- the Insight Toolkit (ITK), which provides registration and
-segmentation algorithms.
-
+Adressing these issues is the main goal of the Medical Imaging Interaction Toolkit (MITK). Therfore MITK
+is based on different common open source libraries combining them and adding new features which are needed for
+medical imaging.
+
+\section OverviewPage_DesignOverview Design Overview
-ITK provides powerful algorithms, but is not designed for visualization or interaction. VTK has
-powerful visualization capabilities, but only low-level support for interaction such as picking
-methods, rotation, movement and scaling of objects. Support for high level interactions with data
-as, for example, the interactive construction and modification of deformable models, and
-undo-capabilities is outside the scope of VTK. Furthermore, it is designed to create \em one
-\em kind of view on the data. There is no special assistance to realized multiple, different
-views of the data (as a multiplanar reconstruction and a 3D rendering). Finally, VTK supports only
-2D and 3D data, not 3D+t data, which are required for some medical applications, and there is
-currently no convenient possibility to combine VTK with ITK.
+MITK is designed to be used as a pure software library or as a complete application framework. Thus, a user
+of MITK can decide if he simply wants to add a new plug-in to the existing application framework or if he needs to implement his
+own application and wants to use MITK as a software library. Depending on the type of use MITK uses different software libraries which is
+shown in the next figure for overview.
-The aim of MITK is to use VTK and ITK, allow an easy combination of both and extend them with those
-features, which are outside the scope of both.
+\image html MitkOverview.png "Overview of MITK"
-\section OverviewPage_DesignOverview Design Overview
+Like shown above, MITK uses the following libraries.
+
+ - The Insight Toolkit (ITK), which provides registration and
+segmentation algorithms, but is not designed for visualization or interaction.
-The basic design concept of MITK is model-view-controller (MVC). Although some people think MVC is
-out-of-date, it is useful in this case (and also we do not really use pure MVC): we have data
-(\em model), on which we want to have different @em views and we want to interact with the data
-(\em controller), which should result in a simultaneous and consistent update of all views.
+
- The Visualization Toolkit (VTK), which provides powerful visualization capabilities
+ and low-level support for interaction such as picking methods, rotation, movement and scaling of objects.
+
- The Common Toolkit (CTK), which focuses on DICOM support and a plug-in framework.
+
+
- The Qt Cross-platform application and UI framework (Qt) as a framework for UI and application
+ support.
+
+
+Using and combining these libraries, MITK adds the following features:
- - data management classes
-
-
-
-...
- */
+ High level interactions with data.
+ Specialized medical imaging algorithms (e.g. segmentation)
+ Support of 3D + t data.
+ Complete appliction framework, expandable by plug-ins
+ Standard tools for medical imaging as default plug-ins (e.g. measurement, segmentation)
+ Many specialized module for different topics on medical imaging (e.g. diffusion imaging, image guided therapy, live image/ultasound data processing)
+
+
+The following pages will guide you through the basic concepts of MITK and give help on develloping software with MITK.
+*/
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