The Human Skeletal System will be encoded through subprojects for Data Collection, Surface Meshing and Volume Registration, Landmarks, and Parameterization. Data Collection will require microCT scanning of samples, weighing and photographing, and high resolution point cloud surface scanning. Surface Meshing starts from point cloud processing and detail-preserving meshing as well as controlled methods of reduction for lower levels-of-detail. Volume Registration of the microCT volumetric data to the mesh surfaces will result in simulation-ready digital bones as well as automated registration templates. Landmark annotation tools will support feature annotation by experts. Additionally, Computational Landmarks based on surface curvature and other geometric features will discover meaningful landmarks that are difficult for human determination. Feature-based correspondence and registration between samples will be attempted using constellation methods and related adjacency algorithms. Finally, Parameterization will analyze multiple samples for the automatic determination of machine and human-readable parameters of bone morphology. A reporting system of statistical variation of bone morphology will be developed to visualize and communicate salient aspects of the Parametric Skeleton.
The Human Musculoskeletal System adds additional challenges. This work can be grouped into subprojects for Data Collection, Meshing Volume, Landmarks, and Parameterization. Data collection will begin with full-body cadaveric MRI and CT scanning together with selected DT-MRI scans. This will be followed by the detailed digitization of the muscle fiber bundle architecture for all identifiable muscles in the upper body. Segmentation will be performed on both CT and MRI volume data into surface meshes to isolate anatomic components. Registration of fiber bundle data sets with corresponding MRI segmented meshes will be developed, followed by the generalization of the registration process to novel meshes to populate other muscle volumes with fiber architecture. Attempts will be made to validate the DT MRI scans against fiber data sets. Landmarks will be added as feature annotation by experts. Finally, the Parameterization will require the determination of the statistical variation of individual muscles as well as the statistical variation of system of muscles.
Human Information Model
A critical part of the Parametric Human Project will be the development of an advanced human anatomy ontology that captures anatomical variation and the varied tissue relationships involved. To achieve this, human ontology visualization, exploration, and authoring tools will be developed. In particular, extensible ontology development will be needed as additional features and relationships are discovered in both typical and pathological cases. The result should include statistical variation in the model as well as a model of the detailed geometric relationships found.
Subject Breadth and Pathologies
Finally, an opportunity will exist to extend the scope of the project to include additional data sets on an ongoing basis to further strengthen the statistical findings for adult human subjects. Furthermore, the addition of growth models from immature to geriatric data sets would greatly enhance our understanding of human anatomy. Adding pathological data sets to potentially parameterize specific disorders could be critical in diagnosis and treatment.
Please contact Jeremy Mogk for more information.