The MedSim3D
framework provides a general programmable platform for 3D modeling and simulation in medical education.
pip install MedSim3D
tqdm, requests, numpy, cv2, shapely, quick-csv, pillow, pandas, pyntcloud, sklearn, matplotlib, scipy, skimage
Example 1: Download datasets from the Visible Human Project.
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
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
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)
(1) Medical image processing using the VHP data sets
(2) 3D agent-based modeling in NetLogo using VHP data sets
The MedSim3D
toolkit is provided by Donghua Chen with MIT License.