Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Simplifying surfaces with color and texture using quadric error metrics
Proceedings of the conference on Visualization '98
Provably good sampling and meshing of surfaces
Graphical Models - Solid modeling theory and applications
As-rigid-as-possible surface modeling
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
ACM SIGGRAPH 2008 papers
Algorithm 887: CHOLMOD, Supernodal Sparse Cholesky Factorization and Update/Downdate
ACM Transactions on Mathematical Software (TOMS)
Subcutaneous adipose tissue segmentation in whole-body MRI of children
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
SMI 2012: Short VoxMorph: 3-scale freeform deformation of large voxel grids
Computers and Graphics
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Whole-body anatomically correct high-resolution 3D medical images are instrumental for physical simulations. Unfortunately, only a limited number of acquired datasets are available and the scope of possible applications is limited by the patient's posture. In this paper, we propose an extension of the interactive cage-based deformation pipeline VoxMorph [1], for labeled voxel grids allowing to efficiently explore the space of plausible poses while preserving the tissues' internal structure. We propose 3 main contributions to overcome the limitations of this pipeline: (i) we improve its robustness by proposing a deformation diffusion scheme, (ii) we improve its accuracy by proposing a new error-metric for the refinement process of the motion adaptive structure, (iii) we improve its scalability by proposing an out-of-core implementation. Our method is easy to use for novice users, robust and scales up to 3D images that do not fit in memory, while offering limited distortion and mass loss. We evaluate our approach on postured whole-body segmented images and present an electro-magnetic wave exposure study for human-waves interaction simulations.