Free Motion Capture for Everyone 💀✨

Collection of utility software from the Bone Imaging Laboratory

uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)

Agile Library for Biomedical Applications

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

Computed Tomography to Finite Elements

Seg3D is a free volume segmentation and processing tool developed by the NIH Center for Integrative Biomedical Computing at the University of Utah Scientific Computing and Imaging (SCI) Institute.

Finite Element Mesh Overclosure Reduction and Slicing Code

MATLAB function for the identification of femoral landmarks, axes, planes and bone coordinate systems using a 3D surface model

Clone of the BodyParts3D/Anatomography 3D model files

CalculiX Advanced Environment is designed to guide you through the CalculiX keywords creation process and is aimed to help you reach the correct input file with no mistakes.

STAPLE (Shared Tools for Automatic Personalised Lower Extremity modelling) consists of a collection of methods for generating skeletal models from three-dimensional bone geometries, usually segment…

The Parallel Framework for Image Registration

A basic tutorial for geometry processing in MATLAB using gptoolbox

provides basic tools to read content from zip files

Software connecting Abaqus and Matlab

Jupyter Course

LibHip: An Open-Access Hip Joint Model Repository suitable for Finite Element Method Simulation

💌 An extensible desktop mail app built on the modern web. Forks welcome!

Segment Source Distribution

Python code for the paper "A direct geometry processing cartilage generation method for using segmented bone models from datasets with poor cartilage visibility”

Femur segmentation using bone enhancement filtering and multi label graph cuts

Matlab toolbox for Computed Tomography (CT) image processing.

JuliaFEM base package (core functionality)

Implementation of nonlinear material properties in a linear finite element solver

ML_DeepCT is a machine learning and deep learning CT image processing pipeline, including: CT image reconstruction, registration, stitching, segmentation and digital image analysis