caa a22 4500 605541256 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00371-014-0945-2 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0945-2 A framework for generating anatomically detailed subject-specific human facial models for biomechanical simulations [Elektronische Daten] [Alice Hung, Tim Wu, Peter Hunter, Kumar Mithraratne] Realistic biomechanical simulations of the human face rely on detailed and accurate anatomical models. A recent study involving ultrasound imaging revealed that tissue structures in the human face can be separated into two major strata that move independent of each other. Based on this observation, anatomically accurate finite element models representing soft tissues in both layers of the human face were developed using 3D segmented data derived from the high-resolution US Visible Human cryosection images. The three-dimensional geometry of these tissue structures was described using Cubic Hermite finite elements. The use of Hermite family elements ensures the continuity of displacement gradient across element boundaries and hence maintains the moment balance throughout the computational domain in mechanical simulations. This in turn leads to more accurate predictions of soft tissue deformations. Creating subject-specific detailed model of the face suitable for biomechanical analysis is, however, a time-consuming task. This paper proposes a fast semi-automated framework for generating detailed subject-specific facial models including internal muscles using techniques that involve landmark-based affine transformation, iterative surface-fitting and free-form deformation. Generated models for three individuals are presented to demonstrate the efficacy of the proposed methodology. Springer-Verlag Berlin Heidelberg, 2014 Human facial model nationallicence Cubic Hermite elements nationallicence Subject-specific customization nationallicence Hung Alice The University of Auckland, Auckland, New Zealand aut Wu Tim The University of Auckland, Auckland, New Zealand aut Hunter Peter The University of Auckland, Auckland, New Zealand aut Mithraratne Kumar The University of Auckland, Auckland, New Zealand aut The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 527-539 0178-2789 31:5<527 2015 31 371 https://doi.org/10.1007/s00371-014-0945-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0945-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hung Alice The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Wu Tim The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Hunter Peter The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 700 1- Mithraratne Kumar The University of Auckland, Auckland, New Zealand aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 527-539 0178-2789 31:5<527 2015 31 371