Soft-Tissue Deformation for In Vivo Volume Animation

Massarwi, Fady; Gotsman, Craig; Elber, Gershon

doi:10.1109/pg.2007.46

Cited by 40 publications

(15 citation statements)

References 12 publications

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“…Therefore, the method could not provide adequate solutions for volume deformation. Rhee et al [11] extended the linear blending skinning algorithm to articulated volume deformation. However the result is constrained by the limitations of the linear blending algorithm and the accuracy of deformation within the soft-tissue volume is not guaranteed.…”

Section: Articulated Human Body Deformation From Scansmentioning

confidence: 99%

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

Rhee

Lewis

Neumann

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Abstract-This paper describes a complete system to create anatomically accurate example-based volume deformation and animation of articulated body regions, starting from multiple in vivo volume scans of a specific individual. In order to solve the correspondence problem across volume scans, a template volume is registered to each sample. The wide range of pose variations is first approximated by volume blend deformation (VBD), providing proper initialization of the articulated subject in different poses. A novel registration method is presented to efficiently reduce the computation cost while avoiding strong local minima inherent in complex articulated body volume registration. The algorithm highly constrains the degrees of freedom and search space involved in the non-linear optimization, using hierarchical volume structures and locally constrained deformation based on the biharmonic clamped spline. Our registration step establishes a correspondence across scans, allowing a data-driven deformation approach in the volume domain. The results provide an occlusion free person-specific 3D human body model, asymptotically accurate inner tissue deformations, and realistic volume animation of articulated movements driven by standard joint control estimated from the actual skeleton. Our approach also addresses the practical issues arising in using scans from living subjects. The robustness of our algorithms is tested by their applications on the hand, probably the most complex articulated region in the body, and the knee, a frequent subject area for medical imaging due to injuries.

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Section: Articulated Human Body Deformation From Scansmentioning

confidence: 99%

Scan-Based Volume Animation Driven by Locally Adaptive Articulated Registrations

Rhee

Lewis

Neumann

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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“…The volume skeletal deformation (VSD) algorithm [7] is implemented for articulated volume pose initialization. The VSD algorithm is based on the linear weighted blending of affine transforms determined by each joint,…”

Section: Articulated Volume Initializationmentioning

confidence: 99%

“…The volumetric weight map to define w j is computed using a generic surface model and bone joint weights [7], and the transformation matrix M j that represents the target pose is estimated from the bone locations of the target volume. In the source knee volume, the femur and tibia are manually segmented by a 2D graph cut algorithm [12].…”

Section: Articulated Volume Initializationmentioning

confidence: 99%

“…The radial basis function formulation of thin plate splines (TPS) was used for deformation. In this paper, their efforts are successfully extended to handle articulated deformation, using the VSD algorithm [7] as an initialization step.…”

Section: Introductionmentioning

confidence: 99%

“…Rhee et al developed volume skeletal deformation (VSD) which provides a practical solution to ar- ticulated volume animation. VSD produces rigid bone movement and smooth volumetric tissue deformation as the actual segmented skeleton moves under intuitive user control [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive non-rigid registration of 3D knee MRI in different pose spaces

Rhee

Lewis

Nayak

et al. 2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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Volume registration of articulated subjects such as the human knee region requires novel methods to accommodate the wide range of movement resulting from skeletal joint rotations. This paper addresses articulated volume deformation with a pair of techniques. Volume skeletal deformation (VSD) is applied first, producing a smooth but approximate deformation of the soft tissue as the underlying skeleton moves, while preserving rigid motion in the segmented bone regions. The resulting deformed volume is used as initialization for a nonrigid deformation step that locally and adaptively adds radial basis function control points to minimize the remaining registration error in any poorly aligned region. The resulting process registers a neutral pose volume to any given bent-knee pose MRI scan.

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