2D
Visualization in MeVisLab Introduction Images and data objects can be rendered in 2D and 3D and interacted with in several ways using a set of tools available through MeVisLab. In this chapter in particular, we will focus on simple image interaction with two- and three-dimensional visualizations.
Info: Not only pixel- and voxel-based data, but also scene objects and 3D scenes can be visualized. See our tutorial on OpenInventorModules for further information.
Example 1: Synchronous view of two images Introduction In this example we like to use the module SynchroView2D to be able to inspect two different images simultaneously.
The module SynchroView2D provides two 2D viewers that are synchronized.
As in Tutorial Chapter 1 - Basic Mechanics of MeVisLab, the processed and the unprocessed image can be displayed simultaneously. Scrolling through one image automatically changes the slices of both viewers, so slices with the same slice number are shown in both images.
Example 2: Creating a magnifier This example is also available on YouTube. Introduction Medical images are typically displayed in three different viewing directions (see image): coronal, axial and sagittal.
Using the Viewer OrthoView2D you are able to decide, which viewing direction you like to use. In addition to that, you have the opportunity to display all three orthogonal viewing directions simultaneously. Here, we like to display an image of the head in all three viewing directions and mark positions in the image.
Example 3: How to blend images over each other This example is also available on YouTube. Introduction In this example we will show you how to blend a 2D image over another one. With the help of the module SoView2DOverlay we will create an overlay, which allows us to highlight all bones in the scan.
Steps to do Develop your network Start this example by adding the shown modules, connecting the modules to form a network and loading the example image Bone.
Example 4: Display images converted to Open Inventor scene objects This example is also available on YouTube. Introduction In the previous example you learned how to use the module SoView2DOverlay together with a View2D. MeVisLab provides a whole family of SoView2D* modules (SoView2DOverlay, SoView2DRectangle, SoView2DGrid, …). All these modules create or interact with scene objects and are based on the module SoView2D, which can convert a voxel-image into a scene object.
Data Objects in MeVisLab MeVisLab provides pre-defined data objects, e. g.
Contour Segmented Objects (CSOs) which are three-dimensional objects encapsulating formerly defined contours within images. Surface Objects (Winged Edge Meshes or WEMs) represent the surface of geometrical figures and allow the user to manipulate them. Markers are used to mark specific locations or aspects of an image and allow to process those later on. Curves can print the results of a function as two-dimensional mathematical graphs into a diagram.
Contour Segmented Objects (CSOs) in MeVisLab Introduction Structure of CSOs MeVisLab provides modules to create contours in images. 3D objects which encapsulate these contours are called Contour Segmented Objects (CSOs).
In the next image, you can see a rectangular shaped CSO. The pink circles you can see are called Seed Points.
Seed Points define the shape of the CSO. In case of a rectangle, you need four Seed Points forming the corners, to define the whole rectangle.
Contour Example 1: Creation of Contours This example is also available on YouTube. Introduction We like to start with the creation of CSOs. To create CSOs, you need a SoCSO*-Editor. There are several different editors, which can be used to create CSOs (see here). Some of them are introduced in this example.
Steps to do Develop your network For this example, we need the following modules. Add the modules to your workspace, connect them as shown below and load the example image $(DemoDataPath)/BrainMultiModal/ProbandT1.
Contour Example 2: Creating Contours using Live Wire and Interpolation This example is also available on YouTube. Introduction In this example, we like to create CSOs using the Live Wire Algorithm, which allows semi-automatic CSO creation. The algorithm uses edge detection to support the user creating CSOs.
We also like to interpolate CSOs over slices. That means additional CSOs are generated between manual segmentations based on a linear interpolation.
As a last step, we will group together CSOs of the same anatomical unit.
Contour Example 3: Overlay Creation and 3D Visualization of Contours This example is also available on YouTube. Introduction In this example, we’d like to use the created CSOs to display an overlay. This allows us to mark one of two lungs. In addition to that, we will display the whole segmented lobe of the lung in a 3D image.
Steps to do Develop your network Use the network from the contour example 2 and add the modules VoxelizeCSO, SoView2DOverlay and View2D to your workspace.
Contour Example 4: Annotation of Images This example is also available on YouTube. Introduction In this example we like to calculate the volume of our object, in this case the part of the lung we have segmented.
Steps to do Develop your network and calculate the lung volume Add the module CalculateVolume and SoView2DAnnotation to your workspace and connect both modules as shown. Update the module CalculateVolume, which directly shows the volume of our object.
Contour Example 5: Visualizing Contours and Images This example is also available on YouTube. Introduction In this example, we like to automatically create CSOs based on a predefined iso value.
Steps to do Develop your network Add the following modules to your workspace and connect them as shown. Load the example image Bone.tiff.
Automatic creation of CSOs based on the iso value Now, open the panel of CSOIsoGenerator to set the Iso Value to 1200.
Contour Example 6: Adding Labels to Contours This example is also available on YouTube. Introduction In this example, we are adding a label to a contour. The label provides information about measurements and about the contour itself. The label remains connected to the contour and can be moved via mouse interactions.
Steps to do Develop your network Add a LocalImage and a View2D module to your workspace and connect them as shown below.
Contour Example 7: Using the CSOListContainer Introduction In this example, we are using the module CSOListContainer instead of the CSOManager. The CSOManager is a heavy weight, UI driven module. You can use it to see all of your CSOs, CSOLists and CSOGroups in the module panel. The CSOListContainer is a light weight module with focus on Python scripting. We recommend to use this module for final application development, because Python provides much more flexibility in handling CSO objects.
Markers in MeVisLab In MeVisLab you can equip images and other data objects with markers. In this example you will see how to create, process and use markers.
Creation and Rendering To create markers, you can use a marker editor, for example the SoView2DMarkerEditor. Connect this editor to a viewer as shown below. Now you can interactively create new markers. Connect the module XMarkerListContainer to your marker editor to store markers in a list.
Example 1: Calculating the distance between markers This example is also available on YouTube. Introduction In this example, we will measure the distance between one position in an image to a list of markers.
Steps to do Develop your network Add the following modules and connect them as shown.
We changed the names of the modules SoView2DMarkerEditor and XMarkerLIstContainer, to distinguish these modules from two similar modules we will add later on.
Curves in MeVisLab Introduction Curves can be used in MeVisLab to print the results of a function as two-dimensional mathematical curves into a diagram.
Curves in MeVisLab In the given example, only modules available in commercial MeVisLab Professional SDK have been used. The non-commercial MeVisLab Standard SDK provides more modules for curves.
Example 1: Drawing curves This example is also available on YouTube. Introduction In this example, you will draw one or more curves into a diagram and define different styles for the curves.
Steps to do Develop your network A curve requires x- and y-coordinates to be printed. You can use the CurveCreator module as input for these coordinates. The SoDiagram2D draws the curves into a SoRenderArea. You can also define the style of the curves by using the StylePalette module.
