Musculoskeletal finite element (FE) analysis is an invaluable tool in orthopaedic-related research. While it has provided significant biomechanical insight, the demands associated with modeling the geometrically complex structures of the human body often limit its utility. The often prohibitive amount of model development time is further compounded by the time required to process medical image datasets to identify the distinct anatomical structures of interest. Yet this process is a necessary preprocessing step for model development. As a result, most of the analyses reported in the literature refer to 'average' bone geometry. The broad objective of our research plan is to develop a robust software package (IA-FEMESH) to automate the development of patient-specific finite element (FE) models. In pursuit of this objective we propose to merge unique technologies to automate image dataset segmentation; material property extraction and assignment; and direct FE model development (automated meshing). While direct scanning of the bones of interest will be used to validate the automated image segmentation routines, experimental cadaveric contact stress measurements will provide a standard against which to validate the FE contact formulations. Furthermore, the FE models generated by our software package will be compared to models of the same bone(s) created via a commercial pre-processing package. While the hand/wrist represents the primary structures of interest proposed in this application, the tools will be generalized to be used in many orthopaedic applications. In addition to establishing the aforementioned software package, the proposed project will ultimately yield specimen specific FE models of the various joints of the upper extremity, namely the hand. Such models will position us to provide information about the load transfer, characteristics of the normal joints and in the future to demonstrate, for example, the effects of ligamentous instabilities, posttraumatic malalignments, fractures, and various surgical procedures.
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| Devries, Nicole A; Shivanna, Kiran H; Tadepalli, Srinivas C et al. (2009) Ia-FEMesh: anatomic FE models--a check of mesh accuracy and validity. Iowa Orthop J 29:48-54 |
| Grosland, Nicole M; Shivanna, Kiran H; Magnotta, Vincent A et al. (2009) IA-FEMesh: an open-source, interactive, multiblock approach to anatomic finite element model development. Comput Methods Programs Biomed 94:96-107 |
| Gassman, Esther E; Powell, Stephanie M; Kallemeyn, Nicole A et al. (2008) Automated bony region identification using artificial neural networks: reliability and validation measurements. Skeletal Radiol 37:313-9 |
| DeVries, Nicole A; Gassman, Esther E; Kallemeyn, Nicole A et al. (2008) Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning. Skeletal Radiol 37:35-42 |
