Table 1.
Algorithms performance in seconds on a single core of an AMD Opteron(tm) quad-core 8380 processor with 2.5 GHz CPU and 32 GB of RAM and a Nvidia Tesla C1060 GPU with 4 GB GDDR3 global memory
| Dataset I | Dataset II | Dataset III | ||||
|---|---|---|---|---|---|---|
| Voxel volume | 300 × 300 × 60 | 2047 × 1765 × 1000 | 2048 × 1768 × 6018 | |||
| Cortical tissue size | 7.5 × 7.5 × 3 μm3 | 102.4 × 88.2 × 50 μm3 | 51.2 × 44.2 × 180.6 μm3 | |||
| Working data size | 5.4 MB | 3.6 GB | 21.8 GB | |||
| CPU (s) | GPU (ms) | CPU (s) | GPU (s) | CPU (s) | GPU (s) | |
|---|---|---|---|---|---|---|
| Complete reconstruction | 9.082 ±0.188 | 2074 ±88.1 | 4139 ±30.7 | 292.9 ±4.57 | 22391 ±114.0 | 2070.3 ±28.8 |
| Filtering | 1.799 ±0.010 | 46.86 ±1.00 | 1364 ±14.7 | 22.19 ±1.87 | 9100 ±19.1 | 151.0 ±0.38 |
| Segmentation | 3.083 ±0.097 | 28.15 ±1.27 | 119.2 ±2.12 | 10.30 ±0.564 | 164.8 ±0.45 | 50.7 ±0.015 |
| Padding–holefilling | 1.499 ±0.049 | 1369 ±67.7 | 1634 ±4.10 | 107.3 ±0.510 | 6664.3 ±12.1 | 464.5 ±2.1 |
| Connectivity | 0.104 ±0.008 | N/A | 121.3 ±1.1 | N/A | 1217 ±24.0 | N/A |
| Padding–smoothing* | 0.797 ±0.014 | 61.7 ±1.1 | 529.5 ±7.59 | 23.41 ±0.514 | 3230 ±43.1 | 141.6 ±2.2 |
| Surface reconstruction** | 1.80 ±0.01 | 464 ±9 | 371.3 ±1.1 | 8.365 ±0.007 | 2015 ±15.4 | 44.87 ±0.094 |
*The morphological smoothing of the surface is an optional step of the working pipeline
**The GPU version of the Marching Cubes processed the whole volume in substacks of 16 images in order to increase granularity