A Virtual Puncture Surgery System Based on Multi-Layer Soft Tissue and Force Mesh

Zhang, Xiaorui; Duan, Jiali; Sun, Wei; Badler, Norman I.

doi:10.32604/cmc.2018.01842

Cited by 6 publications

(3 citation statements)

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“…Accurate deformation and haptic feedback require physical modeling of bio-tissue, which means integration of real mechanical parameters and geometric models so that tissue’s motion or deformation can conform to physical rules [ 28 ]. For elastic deformation of soft tissue, classic and mature methods like mass–spring method (MSM) or finite element method (FEM) can guarantee high accuracy, but time consumed on precalculation is too long to meet real-time demand of rapid deformation [ 29 ]. The aim of this research was to propose a rapid feedback force calculation model that can be applied in virtual surgery training.…”

Section: Discussionmentioning

confidence: 99%

Development of a maxillofacial virtual surgical system based on biomechanical parameters of facial soft tissue

et al. 2022

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Purpose Lack of biomechanical force model of soft tissue hinders the development of virtual surgical simulation in maxillofacial surgery. In this study, a physical model of facial soft tissue based on real biomechanical parameters was constructed, and a haptics-enabled virtual surgical system was developed to simulate incision-making process on facial soft tissue and to help maxillofacial surgery training. Methods CT data of a 25-year-old female patient were imported into Mimics software to reconstruct 3D models of maxillofacial soft and skeletal tissues. 3dMD stereo-photo of the patient was fused on facial surface to include texture information. Insertion and cutting parameters of facial soft tissue measured on fresh cadavers were integrated, and a maxillofacial biomechanical force model was established. Rapid deformation and force feedback were realized through localized deformation algorithm and axis aligned bounding box (AABB)-based collision detection. The virtual model was validated quantitatively and qualitatively. Results A patient-specific physical model composed of skeletal and facial soft tissue was constructed and embedded in the virtual surgical system. Insertion and cutting in different regions of facial soft tissue were simulated using omega 6, and real-time feedback force was recorded. The feedback force was consistent with acquired force data of experiments conducted on tissue specimen. Real-time graphic and haptic feedback were realized. The mean score of the system performance was 3.71 given by surgeons in evaluation questionnaires. Conclusion The maxillofacial physical model enabled operators to simulate insertion and cutting on facial soft tissue with realization of realistic deformation and haptic feedback. The combination of localized deformation algorithm and AABB-based collision detection improved computational efficiency. The proposed virtual surgical system demonstrated excellent performance in simulation and training of incision-making process.

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Section: Discussionmentioning

confidence: 99%

Development of a maxillofacial virtual surgical system based on biomechanical parameters of facial soft tissue

et al. 2022

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“…Modeling soft tissue deformation is one of the most critical techniques in the virtual surgical training system [4]. The common models for soft tissue deformation are the finite element model (FEM) [5][6][7], mass-spring model (MSM) [8][9][10][11][12] and position-based dynamics (PBD) approach [13][14][15]. Since the FEM can capture the biological characteristics of soft tissue precisely by Young's modulus and Poisson's ratio, it has a good deformation accuracy.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

2020

KSII TIIS

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To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.

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“…The proposed model has high performance for the real-time simulation, but it cannot fully display the biomechanical properties of soft tissues. The structure of the mass-spring model is simple and easy to implement, it also has high computational efficiency, but it is difficult to achieve high accuracy [23][24][25]. Tang et al [26] proposed a virtual laparoscopic training system based on the Visible Chinese Human (VCH) model.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Model for the Local Compression Deformation of Soft Tissue

Zhang¹,

Yu²,

Sun³

et al. 2020

KSII TIIS

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Due to the long training time and high training cost of traditional surgical training methods, the emerging virtual surgical training method has gradually replaced it as the mainstream. However, the virtual surgical system suffers from poor authenticity and high computational cost problems. For overcoming the deficiency of these problems, we propose an optimized model for the local compression deformation of soft tissue. This model uses a simulated annealing algorithm to optimize the parameters of the soft tissue model to improve the authenticity of the simulation. Meanwhile, although the soft tissue deformation is divided into local deformation region and non-deformation region, our proposed model only needs to calculate and update the deformation region, which can improve the simulation real-time performance. Besides, we define a compensation strategy for the "superelastic" effect which often occurs with the mass-spring model. To verify the validity of the model, we carry out a compression simulation experiment of abdomen and human foot and compare it with other models. The experimental results indicate the proposed model is realistic and effective in soft tissue compression simulation, and it outperforms other models in accuracy and real-time performance.

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A Virtual Puncture Surgery System Based on Multi-Layer Soft Tissue and Force Mesh

Cited by 6 publications

References 0 publications

Development of a maxillofacial virtual surgical system based on biomechanical parameters of facial soft tissue

Development of a maxillofacial virtual surgical system based on biomechanical parameters of facial soft tissue

An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

An Optimized Model for the Local Compression Deformation of Soft Tissue

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