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Then *click Browse and select the new folder named *DICOM_from_Varian* where you copied the ZIP file earlier, then press Import*. You can see it in the below figure:
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![Importing DICOM RT Data from the DICOM_from_Varian Folder](/images/tutorials/image_processing/Import.png"Importing DICOM RT Data from the DICOM_from_Varian Folder")
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Then click Browse and select the new folder named *DICOM_FILES* where you copied the ZIP file earlier, then press Import. You can see it in the below figure:
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![Importing DICOM RT Data from the DICOM_FILES Folder](/images/tutorials/image_processing/Import.png"Importing DICOM RT Data from the DICOM_FILES Folder")
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Now add a `View2D` module and connect it to `DicomImport`.
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As shown in the Data Tree (middle pane), the imported DICOM RT structure includes:
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After connecting, open the `View2D` and click on each of these items to visualize the corresponding data in the viewer, as shown in the figures below.
We select the CT 512×512×272×1 because it’s the foundation for viewing and aligning all other radiotherapy data.
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Select the CT 512×512×272×1 series.
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We now want to view the CT images and the RTSTRUCT data together. The module `DicomImport` only allows to select one single object. In order to select more than one object, we use a `DicomImportExtraOutput` module. Select the CT series in the `DicomImport` module and the RTSTRUCT in the `DicomImportExtraOutput` module.
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You have to select the correct index for the RTSTRUCT. In our example it is index 2.
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Add `DicomImportExtraOutput`module as shown in the figure below :
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Add `DicomImportExtraOutput`module as shown in the figure below :
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![Selecting CT and RTSTRUCT in DicomImport](/images/tutorials/image_processing/SELECTINGCTRTSTRUCT.png"Selecting CT and RTSTRUCT in DicomImport")
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### **Visualize RTSTRUCTs as colored CSOs:**
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Now we need an `ExtractRTStruct` module to convert RTSTRUCT data into CSOs (Contour Segmentation Objects). CSOs allow MeVisLab to visualize the contours on the CT scan and to interact with them.
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Add `SoView2DCSOExtensibleEdito ` to enable visualization and interaction with the CSOs in the 2D viewer, allowing you to edit and work with the contours directly. Connect it with `View2D` and `ExtractRTStruct` modules, as shown, where `View2D` displays the CT scan with the contours.
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Add `SoView2DCSOExtensibleEditor` to enable visualization and interaction with the CSOs in the 2D viewer, allowing you to edit and work with the contours directly. Connect it with `View2D` and `ExtractRTStruct` modules, as shown, where `View2D` displays the CT scan with the contours.
There are no names for the contours by default, we want to show the names for the contour to identify the segmented structure, so we need the `CSOLabelRenderer` module to add labels (e.g., 'Bladder', 'Prostate') next to each contour, helping to clearly identify the anatomy. The figure below shows that:
As you can see, the contours are labeled with numbers, so we need to display proper names. To do this, open the `CSOLabelRenderer` panel — it will display the panel shown below.
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As you can see, the contours are labeled with numbers. We want to show the names for the contour to identify the segmented structure. To do this, open the `CSOLabelRenderer` panel — it will display the panel shown below.
### **3D Visualization of Contours Using `SoExaminerViewer`**
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If you want to visualize the contours in 3D, follow these steps:
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Add the `SoCSO3DRenderer` module and connect it to the `ExtractRTStruc`t module.
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(The `SoCSO3DRenderer` will render the contours (CSOs) in the 3D space).
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Add the `SoCSO3DRenderer` module and connect it to the `ExtractRTStruct` module. The `SoCSO3DRenderer` will render the contours (CSOs) in the 3D space.
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Add the `SoExaminerViewer` module and connect it to the `SoCSO3DRenderer` module.
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( The `SoExaminerViewer` will allow you to view the 3D contours. You can rotate, zoom, and move around the 3D image.)
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The following figure is the network and the result:
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![3D Visualization of Contours Using SoExaminerViewe](/images/tutorials/image_processing/3D.png"3D Visualization of Contours Using SoExaminerViewe")
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Add the `SoExaminerViewer` module and connect it to the `SoCSO3DRenderer` module. The `SoExaminerViewer` will allow you to view the 3D contours. You can rotate, zoom, and move around the 3D image.
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The following figure shows the network and the result:
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![3D Visualization of Contours Using SoExaminerViewe](/images/tutorials/image_processing/3D.png"3D Visualization of Contours Using SoExaminerViewe")
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### **Visualizing RTDOSE as a Color Overlay Using LUT**
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Now we need to add another `DicomImportExtraOutput` module to import multiple DICOM objects, You have to select the right index for the example it is index 4 thats mean RTDOSE 199*115*147*1 . Add `MinMaxScan`module to scan the input image and updates the minimum and maximum values of the output image, and connect it with the `DicomImportExtraOutput`
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Now we need to add another `DicomImportExtraOutput` module to import multiple DICOM objects. You have to select the right index for the example it is index 4 thats mean RTDOSE 199*115*147*1 . Add `MinMaxScan` module to scan the input image and updates the minimum and maximum values of the output image, and connect it with the `DicomImportExtraOutput`.
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![Importing RTDOSE Data and Applying MinMaxScan for Image Normalization](/images/tutorials/image_processing/minmaxscan.png"Importing RTDOSE Data and Applying MinMaxScan for Image Normalization")
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Add `Histogram` module to calculate the image's intensity distribution, and connect it with `MinMaxScan`.
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Add `Histogram` module to calculate the image's intensity distribution, and connect it with `MinMaxScan`.
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The `Histogram` module computes the image's intensity distribution, and is connected to the `SoLUTEditor` to modify the lookup table (LUT). The LUT is then passed to the `SoGroup`, which is connected to the `SoView2DOverlay` to blend the 2D image overlay in a 2D viewer. The `SoLUTEditor` allows interactive editing of the LUT, while `SoView2DOverlay` facilitates overlaying the modified image in a 2D scene. Note that `SoView2DOverlay` is for 2D blending, and `GVROrthoOverlay` should be used for OrthoView2D.
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The below figure shows connnection of the network:
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The `Histogram` module computes the image's intensity distribution, and is connected to the `SoLUTEditor` module to modify the lookup table (LUT). The LUT is then passed to the `SoGroup` module, which is connected to the `SoView2DOverlay` module to blend the 2D image overlay in a 2D viewer. The `SoLUTEditor` module allows interactive editing of the LUT, while `SoView2DOverlay` module facilitates overlaying the modified image in a 2D scene.
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![Workflow for Intensity Distribution and 2D Image Overlay using LUT Editing"](/images/tutorials/image_processing/net.png"Workflow for Intensity Distribution and 2D Image Overlay using LUT Editing")
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Note that the `SoView2DOverlay` module is for 2D blending, and the `GVROrthoOverlay` module should be used for `OrthoView2D`.
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The below figure shows the connections of the network:
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Now we should update the `Histogram` by pressing the update button on it.
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![Workflow for Intensity Distribution and 2D Image Overlay using LUT Editing"](/images/tutorials/image_processing/net.png"Workflow for Intensity Distribution and 2D Image Overlay using LUT Editing")
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Now we should update the `Histogram` module by pressing the update button on it.
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