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. Author manuscript; available in PMC: 2020 Jul 24.
Published before final editing as: IEEE Trans Biomed Eng. 2019 Jan 24:10.1109/TBME.2019.2895283. doi: 10.1109/TBME.2019.2895283

Fig. 1.

Fig. 1.

Schematic overview of a data-driven computational design framework [14]. Top row: MRI data is segmented to obtain patient-specific geometry. Anatomical landmarks are used to generate the socket cut-line, as well as the initial geometries of the liner and socket. Then, the model is meshed to form a FEA model, and the FEA results are utilized to drive socket design modifications in an iterative process, until a final design is exported and manufactured. Bottom row: additional measurements are required to improve the design process. Residuum time-varying shapes and deformations may be used to inform the source geometry, as well as the design iterations, and subject-specific soft-tissue mechanical properties obtained in-vivo are necessary to realize a more accurate mechanical FEA model.