Multidimensional binary search trees used for associative searching
Communications of the ACM
An Anatomy-Based Approach to Human Muscle Modeling and Deformation
IEEE Transactions on Visualization and Computer Graphics
Curve and surface smoothing without shrinkage
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ACM SIGGRAPH 2003 Papers
Creating and Simulating Skeletal Muscle from the Visible Human Data Set
IEEE Transactions on Visualization and Computer Graphics
Skeleton extraction by mesh contraction
ACM SIGGRAPH 2008 papers
MRI Bone Segmentation Using Deformable Models and Shape Priors
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Two-way coupling of rigid and deformable bodies
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
A visualization framework for the analysis of neuromuscular simulations
The Visual Computer: International Journal of Computer Graphics - Special Issue for the 3D Anatomical Human Summer School 2010 (3DAH 2010)
Fast simulation of skeleton-driven deformable body characters
ACM Transactions on Graphics (TOG)
Anatomical modelling of the musculoskeletal system from MRI
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Optimizing locomotion controllers using biologically-based actuators and objectives
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Modeling and Simulation of Skeletal Muscle for Computer Graphics: A Survey
Foundations and Trends® in Computer Graphics and Vision
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Studying human motion using musculoskeletal models is a common practice in the field of biomechanics. By using such models, recorded subject's motions can be analyzed in successive steps from kinematics and dynamics to muscle control. However simulating muscle deformation and interaction is not possible, but other methods such as a finite element (FE) simulation are very well suited to simulate deformation and interaction of objects. In this paper we present a practical framework for the automatic generation of FE ready meshes based on subject-specific segmented MRI data. The proposed method resolves several types of data inconsistencies: noise, an incomplete data set and self-intersections. This paper shows the different steps of the method, such as solving overlaps in the segmented surfaces, generating the volume mesh and the connection to a musculoskeletal simulation.