
The region growing tool allows you to isolate structures out of a study to visualize it in 3D. A contrast enhanced structure is ideal to use with the region growing tool because of its density difference. Also, the lungs can easily be separated from other tissues with this tool.
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To create a QuickTime movie of a beating heart in OsiriX, you just need a 4D cardiac CT dataset.
1. Download a study from the DICOM sample image sets . For this tutorial, I used MAGIX, a 4D cardiac CT scan of a heart.
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The Shading Menu is a little feature, semi-hidden on the main toolbar. I know that I was completely ignorant of this feature until recently. It isn’t going to completely revolutionize the way OsiriX renders anything, but it does add just a bit of a punch to your renders.
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In OsiriX, a fly through is a movie sequence. You have the control of selecting specific key frames from a 3D reconstruction by moving, rotating and zooming in and out of the 3D volume render, surface render, MIP or endoscopy. OsiriX will interpolate or “tween” the key frames to create a smooth movie sequence.
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There are three pull down menus that you may or may not have noticed before. The one that we are currently interested in is the CLUT - color look up table. While there are numerous presets that can be cycled through at your leisure, we are going to concentrate on the 16-bit CLUT Editor. All of the other presets are in an 8-bit style, and the 16-bit color selection allows for a little more control over the transparency and color selections within your data set.
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For those working in 3D modeling and animation, the 3D Surface Rendering tool is appropriate. However, if you are working in a 2D program such as Photoshop or Illustrator, the 3D Volume Rendering tool allows you to navigate through the image in OsiriX to visualize the anatomical structures in relation to each other.
From a 3D Volume Render, you can export a QuickTime VR from a study so that…
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It is possible to take DICOM data from OsiriX to create a 3D surface rendering, and import it in to 3DS Max. I used FELIX for this tutorial, but other studies from the DICOM Sample Image sets can be used.
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