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Heart Visualization

Here are a few images from an ongoing research project at the Computer Science Department at UAH. These are images from our visualization of the left ventricle of the heart in Gated Blood Pool SPECT data. We have developed a technique that will automatically extract the left ventricle and will fit an ellipsoid. The shape and size parameters of the left ventricle are then extracted and can be used to assess the heart function.

Image 1
Original Gated Blood Pool SPECT images (Slice L)

Image 2
Extracted contour using the Marr Hildreth Algorithm, applied only in the transaxial direction. (Slice A)

Image 3
Extracted contour using the Marr Hildreth Algorithm, applied in transaxial, sagital and coronal axis. (Slice A)

Image 4
Two recognized clusters (displayed in red and green). The original contour is displayed in yellow. (Slice A)

Image 5
One cluster (displayed in green) has been fitted to an ellipsoid (displayed in red).(Slice A)

Image 6
Original Gated Blood Pool SPECT images (Slice B)

Image 7
Extracted contour using the Marr Hildreth Algorithm, applied only in the transaxial direction. (Slice B)

Image 8
Extracted contour using the Marr Hildreth Algorithm, applied in transaxial, sagital and coronal axis. (Slice B)

Image 9
Two recognized clusters (displayed in red and green). The original contour is displayed in yellow. (Slice B)

Image 10
One cluster (displayed in green) has been fitted to an ellispoid (displayed in red).(Slice B)

Image 11
3 Dimensional Shape extracted from the Marr Hildreth Algorithm.

Image 12
3 Dimensional display of an extracted cluster, fitting the Left Ventricle.

Image 13
Fitted ellipsoid on the Left Ventricle

Image 14
Second view of the fitted ellipsoid on the Left Ventricle.

Image 15
A 3 Dimensional rotating animated graphic of the heart.

Image 16
A animation of a beating heart.

The images above were created using technology from AVS.

Kidney Detection

Image 17
Slice Image and Contrast Enhancement; Edge detection.

Image 18
Model and Deformations.

Image 19
Model and Deformations.

Left Ventricle Detection

Image 20
Compound model fit versus ellipsoid fit to one dataset

Image 21
A truncated ellipsoid fit to the Left Ventricle(LV) of a SPECT data

Image 22
A paraboloid fit to the apical region of the LV of the same SPECT dataset

Image 23
Recovered left ventricle overlaid on surface of blood pool for Dataset 1

Image 24
Left Ventricle animation and analysis results
A screenshot from client side after getting results (for Craig data)

Image 25
Left Ventricle animation and analysis results
A screenshot from client side after getting results (for Pat00 data)

Image 26
Illustration of Interpolation Between two slices of Lateral Ventricle

Image 27
Comparison Between Non-Interpolated and Interpolated Lateral Ventricle Volume

Image 28
Comparison of Real and Interpolated Slices Between Two Slices of Left Lateral Ventricle(t1 data)

Image 29
Comparison Between Real Left Lateral Ventricle Volume and Interpolated Left Lateral Ventricle Volume(t1 data)

Image 30
Comparison of Real and Interpolated Slices Between Two Slices of Right Lateral Ventricle(t1 data)

Image 31
Comparison Between Real Right Lateral Ventricle Volume and Interpolated Right Lateral Ventricle Volume(t1 data)

Volume rendering of blood vessels in the brain:

Image 32
Visualization of Blood Vessels from MRA Dataset. The image was created using isosurface extraction technology from Khoros with a 256*256*72 dataset at isovalue 68.

Brain Blood Vessels
An animation of volume rendered blood vessels in brain (from MRA)

Visualization at CTC
Here's a site that describes some commercial applications of visualization. The site also contains information about some commercial applications of virtual reality.

3D Visible Human
Great visualizations here which make use of VRML technology.