- Copyright: (C) Qianqian Fang (2024-2025) <q.fang at neu.edu>
- License: GNU Public License V3 or later
- Version: 0.3.4
- URL: https://pypi.org/project/iso2mesh/
- Homepage: https://iso2mesh.sf.net
- Github: https://github.com/NeuroJSON/pyiso2mesh
- Acknowledgement: This project is supported by the US National Institute of Health (NIH) grants U24-NS124027 and R01-CA204443
Iso2Mesh is a versatile 3D mesh generation toolbox, originally developed for MATLAB and GNU Octave in 2007. It is designed for the easy creation of high-quality surface and tetrahedral meshes from 3D volumetric images. It includes over 200 mesh processing scripts and programs, which can operate independently or in conjunction with external open-source meshing tools. The Iso2Mesh toolbox can directly convert 3-D image stacks—including binary, segmented, or grayscale images such as MRI or CT scans—into high-quality volumetric meshes. This makes it especially suitable for multi-modality medical imaging data analysis and multi-physics modeling.
The iso2mesh
Python module provides a re-implementation of Iso2Mesh
in the native Python language, following algorithms
similar to those in the MATLAB/Octave versions of Iso2Mesh.
- PIP:
python3 -m pip install iso2mesh
- PIP+Git (latest version):
python3 -m pip install git+https://github.com/NeuroJSON/pyiso2mesh.git
MacOS users: you need to run the following commands to install this module
python3 -m venv /tmp/pyiso2mesh-venv
source /tmp/pyiso2mesh-venv/bin/activate
python3 -m pip install iso2mesh
- numpy:
pyiso2mesh
relies heavily on vectorized NumPy matrix operations, similar to those used in the MATLAB version of Iso2Mesh. - matplotlib: Used for plotting results. Install with
pip install matplotlib
. - jdata (optional): A lightweight module to load JSON-encoded volume/mesh data,
including dynamically downloading data from NeuroJSON.io
pip install jdata
.
Many core meshing functions in pyiso2mesh
require the set of mesh processing
executables provided in the Iso2Mesh package under the iso2mesh/bin
folder.
These binaries are not needed at the time when installing pyiso2mesh
; when
any of them becomes needed during mesh processing, pyiso2mesh
dynamically
downloads these external tools and store those under the user's home directory
($HOME/iso2mesh-tools
) for future use. This download operation only runs once.
- Operating System: The module is written in pure Python and is portable across platforms, including Windows, Linux, and macOS.
-
Install the
build
module:python3 -m pip install --upgrade build
-
Clone the repository:
git clone --recursive https://github.com/NeuroJSON/pyiso2mesh.git
cd pyiso2mesh
-
Type
python3 -m build
to build the package -
A platform-independent
noarch
module will be built locally. You should see a package namediso2mesh-x.x.x-py2.py3-none-any.whl
in thedist/
subfolder. -
You can install the locally built package using:
python3 -m pip install --force-reinstall iso2mesh-*.whl
If you want to modify the source, and verify that it still produces correct results, you can run
the built-in unit-test script inside the downloaded git repository by using this command
inside the pyiso2mesh
root folder
python3 -m unittest test.run_test
pyiso2mesh
inherits the "trademark" one-liner mesh generator style from its MATLAB/Octave counterpart
and maintains high compatibility with Iso2Mesh in terms of function names, input/output parameters,
and node/element ordering and indexing conventions.
All index matrices, such as face
or elem
, in the generated mesh data are 1-based (i.e.,
the lowest index is 1, not 0). This design ensures compatibility with the MATLAB/Octave Iso2Mesh outputs.
import iso2mesh as i2m
import numpy as np
# creating basic grid-like meshes
no, el = i2m.meshgrid5([0,1], [0,2], [1,2])
i2m.plotmesh(no, el)
no, el = i2m.meshgrid6([0,1], [0,2], [1,2])
i2m.plotmesh(no, el)
# meshing a box and plotting with selector
no, fc, el = i2m.meshabox([0,0,0], [30, 20, 10], 2)
i2m.plotmesh(no, el, 'z < 5')
# computing various mesh data
fc2 = i2m.volface(el)
ed1 = i2m.surfedge(fc[:-1,:])
fvol = i2m.elemvolume(no, fc)
evol = i2m.elemvolume(no, el)
facenb = i2m.faceneighbors(el)
snorm = i2m.surfacenorm(no, fc)
cv = i2m.meshcentroid(no, el)
cf = i2m.meshcentroid(no, fc)
# plotting nodes with markers
i2m.plotmesh(cf, 'r.')
# cleaning a surface mesh
no1, fc1 = i2m.meshcheckrepair(no, fc)
# smoothing a surface mesh
no2 = i2m.sms(no1, fc1, 20)
i2m.plotmesh(no2, fc1)
# meshing a cylinder
no, fc, el = i2m.meshacylinder([0,0,0], [0, 0, 10], 2, 50)
i2m.plotmesh(no, el, 'x < 0', edgecolor='r')
# creating and plotting polyhedral solids (PLCs)
mesh = i2m.latticegrid([0,1],[0,1,2], [0,2])
i2m.plotmesh(mesh[0], mesh[1], alpha=0.5, linestyle='--')
# mesh and label PLC based domains using tetgen1.5
mesh2 = i2m.s2m(mesh[0], mesh[1], 1, 0.03, method='tetgen1.5')
i2m.plotmesh(mesh2[0], mesh2[1], alpha=0.5)
pyiso2mesh
subdivides all functions into sub-modules (core, geometry, plot,
io, trait, modify, utils, register, raster) that can be individually
imported. For example, if one wants to create tetrahedral meshes from a 3-D binary
array, one can use
from iso2mesh.core import v2m, v2s
from iso2mesh.plot import plotmesh
import numpy as np
img = np.zeros([60,60,60], dtype=np.uint8)
img[20:41, 10:51, 30:] = 1
no, el, fc = v2m(img, [], 3, 100, 'cgalmesh')
plotmesh(no, el)
no, fc, _, _ = v2s(img, 0.5, {'distbound': 0.2})
ax = plotmesh(no, fc, 'y < 30', alpha=0.5, edgecolor='none')
plotmesh(no, fc, 'y > 30', parent = ax)
The progress of converting MATLAB-based Iso2Mesh functions to Python is tracked in #1
Ported | Tested | Ported | Tested | |
---|---|---|---|---|
> Streamlined mesh generation - shortcuts | > File I/O | |||
✅ v2m.m |
✅ tested | ✅ saveasc.m |
⭕️ tested | |
✅ v2s.m |
✅ tested | ✅ savedxf.m |
⭕️ tested | |
✅ s2m.m |
✅ tested | ✅ savestl.m |
⭕️ tested | |
✅ s2v.m |
⭕️ tested | ✅ savebinstl.m |
⭕️ tested | |
✅ m2v.m |
⭕️ tested | ✅ saveinr.m |
⭕️ tested | |
✅ sms.m |
✅ tested | ✅ saveoff.m |
✅ tested | |
> Streamlined mesh generation | ⭕️ savesmf.m |
⭕️ tested | ||
✅ vol2mesh.m |
✅ tested | ✅ savesurfpoly.m |
✅ tested | |
✅ vol2surf.m |
✅ tested | ⭕️ savegts.m |
⭕️ tested | |
✅ surf2mesh.m |
✅ tested | ⭕️ readgts.m |
⭕️ tested | |
✅ surf2vol.m |
⭕️ tested | ⭕️ savemsh.m |
⭕️ tested | |
✅ mesh2vol.m |
⭕️ tested | ⭕️ savevrml.m |
⭕️ tested | |
> Iso2mesh main function backend | ✅ readasc.m |
⭕️ tested | ||
✅ binsurface.m |
✅ tested | ⭕️ readinr.m |
⭕️ tested | |
✅ cgalv2m.m |
✅ tested | ✅ readmedit.m |
⭕️ tested | |
✅ cgals2m.m |
⭕️ tested | ✅ readoff.m |
✅ tested | |
✅ vol2restrictedtri.m |
✅ tested | ⭕️ readsmf.m |
⭕️ tested | |
✅ surf2volz.m |
⭕️ tested | ✅ readtetgen.m |
✅ tested | |
✅ mesh2mask.m |
⭕️ tested | ✅ deletemeshfile.m |
✅ tested | |
> Iso2mesh primitive meshing functions | ✅ mcpath.m |
✅ tested | ||
✅ meshabox.m |
✅ tested | ✅ mwpath.m |
✅ tested | |
✅ meshasphere.m |
✅ tested | ✅ savemedit.m |
✅ tested | |
✅ meshanellip.m |
✅ tested | ⭕️ savejson.m |
⭕️ tested | |
✅ meshunitsphere.m |
✅ tested | ⭕️ loadjson.m |
⭕️ tested | |
✅ meshacylinder.m |
✅ tested | ⭕️ saveubjson.m |
⭕️ tested | |
✅ meshgrid5.m |
✅ tested | ⭕️ loadubjson.m |
⭕️ tested | |
✅ meshgrid6.m |
✅ tested | ⭕️ loadmsgpack.m |
⭕️ tested | |
✅ latticegrid.m |
✅ tested | ⭕️ savemsgpack.m |
⭕️ tested | |
✅ extrudecurve.m |
⭕️ tested | ⭕️ savebj.m |
⭕️ tested | |
✅ meshcylinders.m |
✅ tested | ⭕️ loadbj.m |
⭕️ tested | |
> Mesh decomposition and query | ⭕️ savemphtxt.m |
⭕️ tested | ||
✅ finddisconnsurf.m |
✅ tested | ⭕️ savetetgenele.m |
⭕️ tested | |
✅ surfedge.m |
✅ tested | ⭕️ savetetgennode.m |
⭕️ tested | |
✅ volface.m |
✅ tested | ⭕️ saveabaqus.m |
⭕️ tested | |
✅ extractloops.m |
✅ tested | ⭕️ savenirfast.m |
⭕️ tested | |
✅ meshconn.m |
✅ tested | ⭕️ readnirfast.m |
⭕️ tested | |
✅ meshcentroid.m |
✅ tested | ⭕️ readnifti.m |
⭕️ tested | |
✅ nodevolume.m |
✅ tested | ⭕️ readmptiff.m |
⭕️ tested | |
✅ elemvolume.m |
✅ tested | ⭕️ loadjsnirf.m |
⭕️ tested | |
✅ neighborelem.m |
✅ tested | ⭕️ savejsnirf.m |
⭕️ tested | |
✅ layersurf.m |
⭕️ tested | ⭕️ loadsnirf.m |
⭕️ tested | |
✅ faceneighbors.m |
✅ tested | ⭕️ savesnirf.m |
⭕️ tested | |
✅ edgeneighbors.m |
✅ tested | ⭕️ readobjmesh.m |
⭕️ tested | |
✅ maxsurf.m |
⭕️ tested | ⭕️ loadjmesh.m |
⭕️ tested | |
✅ flatsegment.m |
⭕️ tested | ⭕️ readobjmesh.m |
⭕️ tested | |
✅ orderloopedge.m |
⭕️ tested | > Volumetric image pre-processing | ||
✅ mesheuler.m |
✅ tested | ⭕️ bwislands.m |
⭕️ tested | |
✅ bbxflatsegment.m |
⭕️ tested | ⭕️ fillholes3d.m |
⭕️ tested | |
✅ surfplane.m |
⭕️ tested | ⭕️ deislands2d.m |
⭕️ tested | |
✅ surfinterior.m |
⭕️ tested | ⭕️ deislands3d.m |
⭕️ tested | |
✅ surfpart.m |
⭕️ tested | ⭕️ ndgaussian.m |
⭕️ tested | |
✅ surfseeds.m |
⭕️ tested | ⭕️ ndimfilter.m |
⭕️ tested | |
✅ meshquality.m |
✅ tested | ⭕️ imedge3d.m |
⭕️ tested | |
✅ meshedge.m |
✅ tested | ⭕️ internalpoint.m |
⭕️ tested | |
✅ meshface.m |
✅ tested | ⭕️ smoothbinvol.m |
⭕️ tested | |
✅ surfacenorm.m |
✅ tested | ⭕️ thickenbinvol.m |
⭕️ tested | |
✅ nodesurfnorm.m |
✅ tested | ⭕️ thinbinvol.m |
⭕️ tested | |
✅ uniqedges.m |
✅ tested | ⭕️ maskdist.m |
⭕️ tested | |
✅ uniqfaces.m |
✅ tested | > Mesh plotting | ||
✅ advancefront.m |
⭕️ tested | ✅ plotmesh.m |
✅ tested | |
✅ innersurf.m |
⭕️ tested | ✅ plotsurf.m |
✅ tested | |
✅ outersurf.m |
⭕️ tested | ✅ plottetra.m |
✅ tested | |
✅ surfvolume.m |
✅ tested | ✅ plotedges.m |
✅ tested | |
✅ insurface.m |
✅ tested | ✅ qmeshcut.m |
✅ tested | |
> Mesh processing and reparing | > Miscellaneous functions | |||
✅ meshcheckrepair.m |
✅ tested | ⭕️ surfdiffuse.m |
⭕️ tested | |
✅ meshreorient.m |
✅ tested | ⭕️ volmap2mesh.m |
⭕️ tested | |
✅ removedupelem.m |
✅ tested | ⭕️ isoctavemesh.m |
⭕️ tested | |
✅ removedupnodes.m |
✅ tested | ⭕️ getvarfrom.m |
⭕️ tested | |
✅ removeisolatednode.m |
✅ tested | ✅ raytrace.m |
✅ tested | |
✅ removeisolatedsurf.m |
⭕️ tested | ⭕️ linextriangle.m |
⭕️ tested | |
✅ surfaceclean.m |
⭕️ tested | ⭕️ getplanefrom3pt.m |
⭕️ tested | |
✅ getintersecttri.m |
⭕️ tested | ✅ getexeext.m |
✅ tested | |
✅ delendelem.m |
⭕️ tested | ✅ fallbackexeext.m |
✅ tested | |
✅ surfreorient.m |
✅ tested | ⭕️ iso2meshver.m |
⭕️ tested | |
> Mesh registration - Metch Toolbox | ⭕️ raysurf.m |
⭕️ tested | ||
✅ proj2mesh.m |
⭕️ tested | ⭕️ getoptkey.m |
⭕️ tested | |
✅ dist2surf.m |
⭕️ tested | ✅ rotatevec3d.m |
⭕️ tested | |
✅ regpt2surf.m |
⭕️ tested | ✅ rotmat2vec.m |
⭕️ tested | |
✅ affinemap.m |
⭕️ tested | ✅ varargin2struct.m |
⭕️ tested | |
> Polyline handling | ✅ jsonopt.m |
⭕️ tested | ||
⭕️ slicesurf.m |
⭕️ tested | ⭕️ mergestruct.m |
⭕️ tested | |
⭕️ slicesurf3.m |
⭕️ tested | ⭕️ orthdisk.m |
⭕️ tested | |
⭕️ polylinelen.m |
⭕️ tested | ⭕️ nestbracket2dim.m |
⭕️ tested | |
⭕️ polylinesimplify.m |
⭕️ tested | ⭕️ memmapstream.m |
⭕️ tested | |
⭕️ polylineinterp.m |
⭕️ tested | ⭕️ aos2soa.m |
⭕️ tested | |
⭕️ closestnode.m |
⭕️ tested | ⭕️ soa2aos.m |
⭕️ tested | |
> Mesh resampling and optimization | ||||
✅ meshresample.m |
✅ tested | |||
✅ remeshsurf.m |
⭕️ tested | |||
✅ smoothsurf.m |
✅ tested | |||
✅ sortmesh.m |
⭕️ tested | |||
✅ mergemesh.m |
⭕️ tested | |||
✅ meshrefine.m |
⭕️ tested | |||
✅ mergesurf.m |
⭕️ tested | |||
✅ surfboolean.m |
✅ tested | |||
✅ fillsurf.m |
⭕️ tested | |||
✅ highordertet.m |
⭕️ tested | |||
✅ elemfacecenter.m |
⭕️ tested | |||
✅ barydualmesh.m |
⭕️ tested | |||
✅ meshinterp.m |
⭕️ tested | |||
✅ meshremap.m |
⭕️ tested | |||
✅ extrudesurf.m |
⭕️ tested |
The pyiso2mesh
module was converted from the MATLAB/Octave version of
of Iso2Mesh (https://github.com/fangq/iso2mesh) written by the same author.
We utilized large-language-model (LLM) and AI chatbot in the initial MATLAB-to-Python conversion, with specific instructions to faithfully replicate the algorithms developed in the MATLAB code to avoid introducing external copyrighted materials into this toolbox. With the assumption that the AI chatbot functions primarily as an automated syntax translator without altering the originality of the code, the upstream author of the original MATLAB-based Iso2Mesh retains the full copyright of this derived Python module.
The initial translation was further manually tested, adjusted and restructured
to produce matching outputs as the original MATLAB toolbox. Dr. Edward Xu
<xu.ed at northeastern.edu> had contributed to the initial conversion and
testing of a subset of functions in the geometry.py
and trait.py
units.
The development of this software is supported by the US National Institute of Health (NIH) under research awards U24-NS124027 and R01-CA204443, with the author, Dr. Qianqian Fang, serving as the principle investigator on both awards.