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https://github.com/dhchenx/medsim3d
Medical Simulation Framework in the 3D Environment
https://github.com/dhchenx/medsim3d
3d-modeling human-body-reconstruction medical-education simulation visible-human-project
Last synced: 21 days ago
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Medical Simulation Framework in the 3D Environment
- Host: GitHub
- URL: https://github.com/dhchenx/medsim3d
- Owner: dhchenx
- Created: 2022-07-30T18:20:04.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-09-02T05:34:09.000Z (over 2 years ago)
- Last Synced: 2024-11-08T18:05:09.867Z (about 1 month ago)
- Topics: 3d-modeling, human-body-reconstruction, medical-education, simulation, visible-human-project
- Language: Python
- Homepage: https://pypi.org/project/MedSim3D/
- Size: 39.4 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
## MedSim3D: Medical Simulation Framework in the 3D environment
The `MedSim3D` framework provides a general programmable platform for 3D modeling and simulation in medical education.
### Installation
```
pip install MedSim3D
```### Dependencies
tqdm, requests, numpy, cv2, shapely, quick-csv, pillow, pandas, pyntcloud, sklearn, matplotlib, scipy, skimage
### Examples
Example 1: Download datasets from [the Visible Human Project](https://www.nlm.nih.gov/databases/download/vhp.html).
```python
from medsim3d.vhp.downloader import VHPDownloader
vhp_downloader=VHPDownloader()
vhp_downloader.download_datasets(
gender="Male", # Male or Female
body_part="head",
# Options: abdomen, head, legs, pelvis, thighs, thorax
save_folder="datasets/male/head")
```Example 2: Build human body part 3D models from colored slices
```python
from medsim3d.vhp.pipeline_bodypart import *
# A pipeline to build body parts in a simple way
pipeline_pelvis=PipelineBodyPart(
gender="Female",
body_part="pelvis",
# Options: abdomen, head, legs, pelvis, thighs, thorax
root_folder='../datasets/Female'
)
pipeline_pelvis.run(force_download=True)
```Example 3: Build human full-body 3D models from CT images
```python
from medsim3d.vhp.pipeline_human import *
pipeline_human=PipelineHuman(
gender='Male',
ct_type='frozenCT', # normalCT
root_path='../datasets/Male'
)
pipeline_human.run(force_download=True)
```### Screenshots
(1) Medical image processing using the VHP data sets
![MedSim3D image processing](https://dhchenx.github.io/projects/MedSim3D/medsim3d-image-processing.png)
(2) 3D agent-based modeling in NetLogo using VHP data sets
![MedSim3D agent-based 3D modeing](https://dhchenx.github.io/projects/MedSim3D/medsim3d-agent-based-modeling.png)
### Credits
- [The NLM Visible Human Project](https://www.nlm.nih.gov/research/visible/visible_human.html)
- [Open3D](http://www.open3d.org/)### License
The `MedSim3D` toolkit is provided by [Donghua Chen](https://github.com/dhchenx) with MIT License.