You can change the color and adjust the transparency. When the surface is generated you can manage it in the next tab on le left panel: 3 Configure 3D surface. The second method start with the binary then uses an algorithm to smooth the surface to avoid staircases The Binary generates a surface with a blocky aspect. If you have manually edited the mask are available only the Binary and the Context Aware smooting (g). This method does not use the mask image, but the raw image, and generates a smoother surface. If thresholding segmentation is used without any manual modification to the mask, the Default method is enabled. Once satisfied with the mask cover we can proceed to the generation of the 3d surface pressing the "Generate Surface" button (g) To scroll through the layers and verify the mask coverage use the slider on the right of the windows or the mouse wheel. Threshold works adding or removing a region that follows the threshold range. It is also possible to adjust the mask by drawing or deleting manually some areas (f) You can adjust the shape and the size of the brush. Then you can adjust the in and out threshold by moving the slider (e) You can decide the name the color and a series of presets (d) related to the type of tissue to be identified. The mask is generated automatically once the data are loaded and is managed in the tab n ° 2 (select region of interest) on the left. To obtain a printable 3D model you have to generate a mask to make the software understand the areas to be connected for the volume interpolation This is only a 3D visualization and is not useful for creating a printable 3D mesh You can choose the type of visualization from the list of presets, to enlarge the window, press the small square at the right top of the window To get this press the skull icon on the right (c) The software can provide an instant 3D representation of the data driven by various presets. Once loaded you'll get a view splitted in four areas with the axial, sagittal and coronal slices and the volume Import a selected group of images (b) or the whole directory Start InVesalius and import DICOM files (a) selecting the directory containing data Meshmixer to process and refine the mesh.This is only an example how to start, you can do the same with your own scans or using the materials available on Invesalius dicom examples or OsiriX dicom library ![]() I made available a video of the process on YouTube and 3D files on Thingiverse In this Instructables I'll describe how to easily obtain a 3D printable model of an uman cervical spine using InVesalius 3.1 and Meshmixer to refine the model I found available several and also free softwares capable of doing that: InVesalius, 3D Slicer, ITK Snap, Seg3D2, OsiriX Lite. I discovered 3D printing in the 2014 and since then I have constantly tried to find all its possible applications, so, when I was subjected to a CT scan, I serch the web to understand if it was possible to reconstruct a 3d model starting from sliced images. Technology is moving to made available a large number of medical self-diagnosis systems in the near future.
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