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Department of Engineering |
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Graham Treece
[ Introduction
| Teaching
| Research
| Publications
| Software
| Videos
| Personal
]
( Look here to see some images of organ surfaces
... )
The following are some surfaces which have been reconstructed from
cross-sections of ultrasound data, by a variety of techniques (see the publications page for more information on
the techniques). In each case, the last video is my technique. The
surfaces are triangulated using Regularised
Marching Tetrahedra. Click on any of the images to see a video
of the surface rotating.
Note that all these images and videos have been generated at very low
resolutions in order to make them possible to download! The real thing
is of much higher quality.
A 25 week foetus, reconstructed from 30 ultrasound B-scans.
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| Reconstruction using Shape Based Interpolation. |
Reconstruction using Shape Based
Interpolation, using centroids to guide the interpolation direction. |
Reconstruction using an improved version of
Disc Guided Interpolation, presented in another technical
report. |
You can also volume render the actual ultrasound data which the previous surfaces were based on. |
Part of the portal venous system, reconstructed from six ultrasound
B-scans.
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| Reconstruction using Shape Based Interpolation. |
Reconstruction using Shape Based
Interpolation, using centroids to guide the interpolation direction. |
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| Reconstruction using Maximal Disc Guided
Interpolation, as presented in a technical
report. |
Reconstruction using an improved version of
Disc Guided Interpolation, presented in another technical
report. |
A child's skull, reconstructed from a varying number of Computed
Tomography images.
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| My technique (on the right) compared to Shape
Based Interpolation (on the left). Each time the skulls rotate, the
number of cross-sections used to define the surface is reduced,
starting at 145 and finishing at 20. The skull on the left clearly
degrades more quickly than that on the right. |
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| The same as above, save that the surface has
been colour coded with an estimate of surface curvature (deep blue for
low curvature, to red for high curvature). This accentuates the areas
of poor surface interpolation. |
You can also apply essentially the same algorithm used to interpolate
the cross-sections above to form surfaces to the interpolation of surfaces
themselves. This can be used to generate a sequence of interpolated
surfaces in between an initial and a final surface - i.e. a
three-dimensional morph. Unlike conventional 2D image morphing, 3D
morphing enables you to change the camera viewpoint and lighting
parameters during the morphing sequence. Here are a couple of
examples, both generated using software
which is available to download, and described in a technical report.
Note that all these images and videos have been generated at very low
resolutions in order to make them possible to download! The real thing
is of much higher quality.
| Source model (click on image for larger version). |
Target model (click on image for mpeg video). |
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