## Abdominal Image Segmentation

Patented HPC technology was applied to the analysis of computed tomography.^{*}
A test was performed for segmentation of regions of computed tomography of the abdomen. The image region contained 6.5M pixels.
In this case, a solution with 1% precision was obtained in 7 seconds.
By comparision the fastest serial computing implementation of the graph cut required 175 seconds.^{**}
**HPC provides a 25X speedup.**

## Cardiac Image Segmentation

Patented HPC technology was applied to the segmentation of a cardiac image with 58M voxels.
The graph used for performing the segmentation contained 58M nodes and 745M edges.^{***}
In this case, a solution with 3% precision was obtained in 28 seconds.
By comparision the fastest serial computing implementation of the graph cut required 322 seconds.^{**}
**HPC provides an 11X speedup.**

## Prenatal Ultrasound Segmentation

Patented HPC technology was applied to the segmentation of prenatal ultrasound.^{*}
The reconstruction required finding the minimum cut of a weighted directed graph with 5M nodes and 65M edges.
A solution with 10% precision was obtained in 13 seconds.
By comparision the fastest serial computing implementation of the graph cut required 82 seconds.^{**}
**HPC provides a 6X speedup.**

## Liver Segmentation

Patented HPC technology was applied to the segmentation of the liver in contrast computed tomography.^{*****}
The reconstruction required finding the minimum cut of a weighted directed graph with 46M nodes and 590M edges.
A solution with 1% precision was obtained in 36 seconds.
By comparision the fastest serial computing implementation of the graph cut required 255 seconds.^{**}
**HPC provides a 7X speedup.**

## Photo Editing

Patented HPC technology was applied to photo editing.^{*}
A test was performed on a photograph with 3.5M pixels.
In this case, a solution with 1% precision was obtained in 1.5 seconds.
By comparision the fastest serial computing implementation of the graph cut required 12.0 seconds.^{**}
**HPC provides an 8X speedup.**

## Depth from Multiview Photography

Patented HPC technology was applied to construct the disparity surface from three photographic views.^{****}
The reconstruction required finding the minimum cut of a weighted graph with 16M nodes and 81M edges.
A solution with 1% precision was obtained in 3.7 seconds.
By comparision the fastest serial computing implementation of the graph cut required 47 seconds.^{**}
**HPC provides an 12X speedup.**