diff --git a/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization.dox b/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization.dox
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--- a/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization.dox
+++ b/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization.dox
@@ -1,151 +1,154 @@
/**
\page org_mitk_views_volumevisualization The Volume Visualization Plugin
\imageMacro{QmitkVolumeVisualization_Icon.png,"Icon of the Volume Visualization Plugin",2.00}
\tableofcontents
\section QVV_Overview Overview
The Volume Visualization Plugin is a basic tool for visualizing three dimensional medical images.
MITK provides generic transfer function presets for medical CT data.
These functions, that map the gray-value to color and opacity, can be interactively edited.
Additionally, there are controls to quickly generate common used transfer function shapes
like the threshold and bell curve to help identify a range of grey-values.
\imageMacro{QmitkVolumeVisualization_Overview.png,"",16.00}
\section QVV_EnableVRPage Enable Volume Rendering
\subsection QVV_LoadingImage Loading an image into the application
Load an image into the application by
- dragging a file into the application window.
- selecting file / load from the menu.
Volume Visualization imposes following restrictions on images:
- It has to be a 3D-Image Scalar image, that means a normal CT or MRT.
- 3D+T are supported for rendering, but the histograms are not computed.
- Also be aware that volume visualization requires a huge amount of memory.
Very large images may not work, unless you use the 64bit version.
\subsection QVV_EnableVR Enable Volumerendering
\imageMacro{QmitkVolumeVisualization_Checkboxen.png,"",8.21}
Select an image in datamanager and click on the checkbox left of "Volumerendering".
Please be patient, while the image is prepared for rendering, which can take up to a half minute.
-\subsection QVV_LODGPU The LOD & GPU checkboxes
+\subsection QVV_LODGPU Dropdown menus for the rendering and blend modes
-Volume Rendering requires a lot of computing resources including processor, memory and graphics card.
+Two dropdown menus allow selection of rendering mode (Default, RayCast, GPU) and the blend mode (Composite, Max, Min, Avg, Add).
-To run volume rendering on smaller platforms,
-enable the LOD checkbox (level-of-detail rendering).
-Level-of-detail first renders a lower quality preview to increase interactivity.
-If the user stops to interact a normal quality rendering is issued.
-
-The GPU checkbox tries to use computing resources on the graphics card to accelerate volume rendering.
+Any Volume Rendering mode requires a lot of computing resources including processor, memory and often also graphics card.
+The Default selection usually finds the best rendering mode for the available hardware.
+Alternatively, it is possible to manually specify the selections RayCast and GPU.
+The RayCast selection is based on CPU computation and therefore typically slow, but allows to render without hardware acceleration.
+The GPU selection uses computing resources on the graphics card to accelerate volume rendering.
It requires a powerful graphics card and OpenGL hardware support for shaders, but achieves much higher frame rates than software-rendering.
+Blend modes define how the volume voxels intersected by the rendering rays are pooled. The composite mode specifies standard volume rendering,
+for which each voxel contributes equally with opacity and color. Other blend modes simply visualize the voxel of maximum /
+minimum intensity and average / add the intentities along the rendering ray.
+
\section QVV_PresetPage Applying premade presets
\subsection QVV_Preset Internal presets
There are some internal presets given, that can be used with normal CT data (given in Houndsfield units).
A large set of medical data has been tested with that presets, but it may not suit on some special cases.
Click on the "Preset" tab for using internal or custom presets.
\imageMacro{QmitkVolumeVisualization_InternalPresets.png,"",8.30}
- "CT Generic" is the default transferfunction that is first applied.
- "CT Black&White" does not use any colors, as it may be distracting on some data.
- "CT Cardiac" tries to increase detail on CTs from the heart.
- "CT Bone" emphasizes bones and shows other areas more transparent.
- "CT Bone (Gradient)" is like "CT Bone", but shows from other organs only the surface by using the gradient.
- "MR Generic" is the default transferfunction that we use on MRT data (which is not normalized like CT data).
- "CT Thorax small" tries to increase detail.
- "CT Thorax large" tries to increase detail.
\subsection QVV_CustomPreset Saving and loading custom presets
After creating or editing a transferfunction (see \ref QVV_Editing or \ref QVV_ThresholdBell),
the custom transferfunction can be stored and later retrieved on the filesystem.
Click "Save" (respectively "Load") button to save (load) the threshold-, color- and gradient function combined in a single .xml file.
\section QVV_ThresholdBell Interactively create transferfunctions
Beside the possibility to directly edit the transferfunctions (\ref QVV_Editing),
a one-click generation of two commonly known shapes is given.
Both generators have two parameters, that can be modified by first clicking on the cross and then moving the mouse up/down and left/right.
The first parameter "center" (controlled by horizontal movement of the mouse) specifies the gravalue where the center of the shape will be located.
The second parameter "width" (controlled by vertical movement of the mouse) specifies the width (or steepness) of the shape.
\subsection Threshold
Click on the "Threshold" tab to active the threshold function generator.
\imageMacro{QmitkVolumeVisualization_Threshold.png,"",8.21}
A threshold shape begins with zero and raises to one across the "center" parameter. Lower widths results in steeper threshold functions.
\subsection Bell
Click on the "Bell" tab to active the threshold function generator.
\imageMacro{QmitkVolumeVisualization_Bell.png,"",8.23}
A threshold shape begins with zero and raises to one at the "center" parameter and the lowers agains to zero. The "width" parameter correspondens to the width of the bell.
\section QVV_Editing Customize transferfunctions in detail
\subsection QVV_Navigate Choosing grayvalue interval to edit
\imageMacro{QmitkVolumeVisualization_Slider.png,"",8.23}
To navigate across the grayvalue range or to zoom in some ranges use the "range"-slider.
All three function editors have in common following:
- By left-clicking a new point is added.
- By right-clicking a point is deleted.
- By left-clicking and holding, an exisiting point can be dragged.
- By pressing arrow keys, the currently selected point is moved.
- By pressing the "DELETE" key, the currently selected point is deleted.
- Between points the transferfunctions are linear interpolated.
There are three transferfunctions to customize:
\subsection QVV_GO Grayvalue -> Opacity
\imageMacro{QmitkVolumeVisualization_Opacity.png,"grayvalues will be mapped to opacity.",8.04}
An opacity of 0 means total transparent, an opacity of 1 means total opaque.
\subsection QVV_GC Grayvalue -> Color
\imageMacro{QmitkVolumeVisualization_Color.png,"grayvalues will be mapped to color.",8.81}
The color transferfunction editor also allows by double-clicking a point to change its color.
\subsection QVV_GGO Grayvalue and Gradient -> Opacity
\imageMacro{QmitkVolumeVisualization_Gradient.png,"",8.85}
Here the influence of the gradient is controllable at specific grayvalues.
*/
diff --git a/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization_Checkboxen.png b/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization_Checkboxen.png
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diff --git a/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization_Overview.png b/Plugins/org.mitk.gui.qt.volumevisualization/documentation/UserManual/QmitkVolumeVisualization_Overview.png
index 495e19e807..70621fbd52 100644
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