3-D Visualization: I = f(x,y,z)

[ericdill]

Description

3-D data, in this context, refers to a dataset where there are three independent variables and one dependent variable. For example, consider a tomographic reconstruction which has three orthogonal spatial directions and an intensity at each voxel (x,y,z).

Visualization Requirements

• Plot a set of lines in 3-D (user can rotate the image in 3 dimensions). This is primarily used in the context of viewing a series of 2-D images that have been reduced to 1-D. The 3-D rendering provides additional interactivity. On-the-fly cumulative offsets in x, y and z will probably be required.
• 3-D Overlay. Used by HXN to compare tomographic information with nanodiffraction. Information regarding X-Y-theta-intensity can be combined with tomography data. The 4D stacks are aligned so that we can extract rocking curve per pixel or over ROI.
• View tomographic reconstruction datasets
• View 3 orthogonal planes through tomographic reconstruction datasets
• XPD, waterfall plot (3D)