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@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2D on MeVisLab Examples</title><link>https://mevislab.github.io/examples/tags/2d/</link><description>Recent content in 2D on MeVisLab Examples</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Wed, 15 Jun 2022 08:56:33 +0200</lastBuildDate><atom:link href="https://mevislab.github.io/examples/tags/2d/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter III: Visualization</title><link>https://mevislab.github.io/examples/tutorials/visualization/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/visualization/</guid><description>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.
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2D on MeVisLab Examples</title><link>https://mevislab.github.io/examples/tags/2d/</link><description>Recent content in 2D on MeVisLab Examples</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 11 Mar 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://mevislab.github.io/examples/tags/2d/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter III: Visualization</title><link>https://mevislab.github.io/examples/tutorials/visualization/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/visualization/</guid><description>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:&amp;nbsp; 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.</description></item><item><title>Example 1: Synchronous view of two images</title><link>https://mevislab.github.io/examples/tutorials/visualization/visualizationexample1/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/visualization/visualizationexample1/</guid><description>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.</description></item><item><title>Example 2: Creating a magnifier</title><link>https://mevislab.github.io/examples/tutorials/visualization/visualizationexample2/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/visualization/visualizationexample2/</guid><description>Example 2: Creating a magnifier &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;This example is also available on YouTube. Introduction Medical images are typically displayed in three different viewing directions (see image): coronal, axial and sagittal.
@@ -13,7 +13,8 @@ As a last step, we will group together CSOs of the same anatomical unit.</descri
 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.</description></item><item><title>Contour Example 4: Annotation of Images</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample4/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample4/</guid><description>Contour Example 4: Annotation of Images &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;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.</description></item><item><title>Contour Example 5: Contours and Ghosting</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample5/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample5/</guid><description>Contour Example 5: Visualizing Contours and Images &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;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.</description></item><item><title>Marker Objects</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/markerobjects/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/markerobjects/</guid><description>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.
+Automatic creation of CSOs based on the iso value Now, open the panel of CSOIsoGenerator to set the Iso Value to 1200.</description></item><item><title>Contour Example 6: Adding Labels to Contours</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample6/</link><pubDate>Mon, 11 Mar 2024 00:00:00 +0000</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/contours/contourexample6/</guid><description>Contour Example 6: Adding Labels to Contours 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. Load the file ProbandT1.dcm from MeVisLab demo data.</description></item><item><title>Marker Objects</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/markerobjects/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/markerobjects/</guid><description>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.</description></item><item><title>Example 1: Distance between Markers</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/markers/markerexample1/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/markers/markerexample1/</guid><description>Example 1: Calculating the distance between markers &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;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.</description></item><item><title>Curves</title><link>https://mevislab.github.io/examples/tutorials/dataobjects/curves/</link><pubDate>Wed, 15 Jun 2022 08:56:33 +0200</pubDate><guid>https://mevislab.github.io/examples/tutorials/dataobjects/curves/</guid><description>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.