Soft-Tissue Simulation Using the Radial Elements Method

Balaniuk, Remis; Salisbury, Kenneth

doi:10.1007/3-540-45015-7_5

Cited by 18 publications

(10 citation statements)

References 9 publications

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“…A nonlinear tensor model based on St. Venant-Kirchoff model was further discussed [27]. Linear element methods [28] based on tensor deformations were introduced in order to model interactive tissue deformations. This method was further modified to include torsional deformations, and was referred to as radial element methods [29].…”

Section: B Physically Based Tissue Deformationsmentioning

confidence: 99%

“…Linear element methods [28] based on tensor deformations were introduced in order to model interactive tissue deformations. This method was further modified to include torsional deformations, and was referred to as radial element methods [29]. The scalability and run-time complexity of these methods for deforming high-resolution models need to be addressed further.…”

Section: B Physically Based Tissue Deformationsmentioning

confidence: 99%

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Modeling Real-Time 3-D Lung Deformations for Medical Visualization

Santhanam

Imielinska

Davenport

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

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Abstract-In this paper, we propose a physics-based and physiology-based approach for modeling real-time deformations of 3-D high-resolution polygonal lung models obtained from highresolution computed tomography (HRCT) images of normal human subjects. The physics-based deformation operator is nonsymmetric, which accounts for the heterogeneous elastic properties of the lung tissue and spatial-dynamic flow properties of the air. An iterative approach is used to estimate the deformation with the deformation operator initialized based on the regional alveolar expandability, a key physiology-based parameter. The force applied on each surface node is based on the airflow pattern inside the lungs, which is known to be based on the orientation of the human subject. The validation of lung dynamics is done by resimulating the lung deformation and comparing it with HRCT data and computing force applied on each node derived from a 4-D HRCT dataset of a normal human subject using the proposed deformation operator and verifying its gradient with the orientation.

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Section: B Physically Based Tissue Deformationsmentioning

confidence: 99%

Section: B Physically Based Tissue Deformationsmentioning

confidence: 99%

Modeling Real-Time 3-D Lung Deformations for Medical Visualization

Santhanam

Imielinska

Davenport

et al. 2008

IEEE Trans. Inform. Technol. Biomed.

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“…[42], [32], [6], [34], [28], [3], [4]) generally use equations from physics to describe how a material will behave in terms of physical constants that describe real materials -e.g. Poisson's coefficient, Young's modulus, etc.…”

Section: Approachesmentioning

confidence: 99%

Automatic preparation, calibration, and simulation of deformable objects

Morris

Salisbury

2008

Computer Methods in Biomechanics and Biomedical Engineering

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Many simulation environments -particularly those intended for medical simulation -require solid objects to deform at interactive rates, with deformation properties that correspond to real materials. Furthermore, new objects may be created frequently (for example, each time a new patient's data is processed), prohibiting manual intervention in the model preparation process. This paper provides a pipeline for rapid preparation of deformable objects with no manual intervention, specifically focusing on mesh generation (preparing solid meshes from surface models), automated calibration of models to finite element reference analyses (including a novel approach to reducing the complexity of calibrating nonhomogeneous objects), and automated skinning of meshes for interactive simulation.

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“…However, the stiffness of the springs was either statistically fine-tuned based on predefined properties (Zhang et al 2002) or regularly distributed. (Arnab and Raja 2007) extended this method by extracting the properties of the springs based on radial links (Vassilev & Spanglang 2002;Balaniuk and Salisbury 2003).…”

Section: Related Workmentioning

confidence: 99%

A Deformable Surface Model For Soft Volume Simulation

Arnab¹,

Raja²

2008

ECMS 2008 Proceedings Edited By: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain

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This paper introduces a surface alternative to the volume model commonly employed in soft object simulation. This is inspired by a significant interest in employing the surface data due to its simplicity. However, there are issues in properties estimation and volume preservation. Therefore, the aim of the ongoing research includes exploring the potential of a surface mass spring model with shape-preserving springs for volume simulation. The approach illustrates the possibility of deriving the spring stiffness at runtime based on the real material properties as well as achieving a global shape deformation despite the non-existence of internal volume. The proposed scheme can be further explored to address other material properties.

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Soft-Tissue Simulation Using the Radial Elements Method

Cited by 18 publications

References 9 publications

Modeling Real-Time 3-D Lung Deformations for Medical Visualization

Modeling Real-Time 3-D Lung Deformations for Medical Visualization

Automatic preparation, calibration, and simulation of deformable objects

A Deformable Surface Model For Soft Volume Simulation

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