Femur-Mesh: Shape Model directly from Mesh

What and Where is the Use Case?

This use case demonstrates using ShapeWorks tools to perform the following.

  • Build a shape model where shapes are given as triangular surface meshes
  • Groom a dataset from meshes, and obtain a SSM without converting the meshes to a different representation. This requires significantly lower RAM.

The use case is located at: Examples/Python/femur_mesh.py

Femur Dataset

Running the Use Case

To run the use case, run RunUseCase.py (in Examples/Python/).

$ cd /path/to/shapeworks/Examples/Python
$ python RunUseCase.py femur_mesh

This calls femur_mesh.py (in Examples/Python/) to perform the following.

  • Loads the femur dataset using a local version if it exists (i.e., previously downloaded); otherwise, the dataset is automatically downloaded from the ShapeWorks Data Portal.
  • Optimizes particle distribution (i.e., the shape/correspondence model) by calling optimization functions in OptimizeUtils.py (in Examples/Python/). See Optimizing Shape Model for details about algorithmic parameters for optimizing the shape model.
  • Launches ShapeWorks Studio to visualize the use case results (i.e., the optimized shape model and the groomed data) by calling functions in AnalyzeUtils.py (in Examples/Python/).

Grooming Data

In this use case, we download pre-groomed data. The use case will be updated soon to demonstrate the full mesh grooming process.

Optimizing Shape Model

Below are the default optimization parameters when running this use case. For a description of the optimize tool and its algorithmic parameters, see: How to Optimize Your Shape Model.

$ python RunUseCase.py femur_mesh
{
        "number_of_particles": 1024,
        "use_shape_statistics_after": 0,
        "use_normals": 0,
        "normal_weight": 0.0,
        "checkpointing_interval" : 10000,
        "keep_checkpoints" : 0,
        "iterations_per_split" : 4000,
        "optimization_iterations" : 500,
        "starting_regularization" : 10,
        "ending_regularization" : 1,
        "recompute_regularization_interval" : 1,
        "domains_per_shape" : 1,
        "domain_type" : 'mesh',
        "relative_weighting" : 10,
        "initial_relative_weighting" : 1,
        "procrustes_interval" : 1,
        "procrustes_scaling" : 1,
        "save_init_splits" : 0,
        "verbosity" : 2,
}

Analyzing Shape Model

ShapeWorks Studio visualizes/analyzes the optimized particle-based shape model by visualizing the mean shape, individual shape samples, and the shape modes of variations. For more information, see: How to Analyze Your Shape Model?.

Here is the mean shape of the optimized shape mode using single-scale optimization.

Femur Mean Shape

Here are femur samples with their optimized correspondences. Femur Samples

Here is a video showing the shape modes of variation (computed using principal component analysis - PCA) of the femur dataset using single-scale optimization.