> This page is for MAISI, version 1.0.1 (Latest) (default).
> For other versions, use one of these documentation indexes:
> - 1.0.1 (Latest) (default): https://docs.nvidia.com/nim/medical/maisi/1.0.1/llms.txt
> - 1.0.0: https://docs.nvidia.com/nim/medical/maisi/1.0.0/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nim/medical/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nim/medical/_mcp/server.

# Performance

## Accuracy Performance

To measure the accuracy of MAISI, synthetic images along with their annotated labels are generated. The VISTA-3D model is then used to evaluate the image quality. The table below shows the Dice score calculated between the MAISI-generated label and the VISTA-3D segmentation for specific anatomies. All tests are conducted with a spacing of 1mm.

### Accuracy

| Case | Body Region | Anatomy              | Image Size  | Dice Score |
| ---- | ----------- | -------------------- | ----------- | ---------- |
| 1    | chest       | aorta                | 256x256x256 | 0.938      |
| 2    | chest       | left lung upper lobe | 256x256x128 | 0.819      |
| 3    | abdomen     | liver                | 256x256x256 | 0.945      |
| 4    | abdomen     | spleen               | 256x256x128 | 0.940      |

## Speed Performance

The speed is measured for generating different body regions, anatomies, and image sizes. The table below shows the generation speed on different GPUs. All tests are conducted with a spacing of 1mm.

| Case | Body Region | Anatomy              | Image Size  | Speed on A100 (seconds) | Speed on H100 (seconds) |
| ---- | ----------- | -------------------- | ----------- | ----------------------- | ----------------------- |
| 1    | chest       | aorta                | 256x256x256 | 72                     | 28                     |
| 2    | chest       | left lung upper lobe | 256x256x128 | 25                     | 13                      |
| 3    | abdomen     | liver                | 256x256x256 | 82                     | 59                     |
| 4    | abdomen     | spleen               | 256x256x128 | 26                     | 14                      |
| 5    | chest       | aorta                | 512x512x512 | 95                     | 55                     |
| 6    | abdomen     | spleen               | 512x512x512 | 93                     | 56                     |

<Note>
You may experience a slowdown when using Windows Subsystem for Linux (WSL).*
</Note>