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In scientific visualization and computer graphics, volume rendering is a set of techniques used to display a 2D projection of a 3D discretely sampled data set, typically a 3D scalar field. A typical 3D data set is a group of 2D slice images acquired by a CT, MRI, or MicroCT scanner.
The earliest known example is 3D Art Graphics, a set of 3-D computer graphics effects, written by Kazumasa Mitazawa and released in June 1978 for the Apple II. [6] [7] Virtual Reality 3D is a version of 3D computer graphics. [8] With the first headset coming out in the late 1950s, the popularity of VR didn't take off until the 2000s.
Vaa3D is able to render 3D, 4D, and 5D data (X, Y, Z, Color, Time) quickly. The volume rendering is typically at the scale of a few gigabytes and can be extended to the scale of terabytes per image set. The visualization is made fast by using OpenGL directly. Vaa3D handles the problem of large data visualization via several techniques.
Scientific visualization focuses and emphasizes the representation of higher order data using primarily graphics and animation techniques. [ 5 ] [ 6 ] It is a very important part of visualization and maybe the first one, as the visualization of experiments and phenomena is as old as science itself.
3D projections use the primary qualities of an object's basic shape to create a map of points, that are then connected to one another to create a visual element. The result is a graphic that contains conceptual properties to interpret the figure or image as not actually flat (2D), but rather, as a solid object (3D) being viewed on a 2D display.
Volume rendering is a technique used to display a 2D projection of a 3D discretely sampled data set. A typical 3D data set is a group of 2D slice images acquired by a CT or MRI scanner. Usually these are acquired in a regular pattern (e.g., one slice every millimeter) and usually have a regular number of image pixels in a regular pattern.
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