A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

Kim, Hyung-Min; Jürgens, Philipp; Weber, Stefan; Nolte, Lutz‐Peter; Reyes, Mauricio

doi:10.1016/j.pbiomolbio.2010.09.004

Cited by 45 publications

(43 citation statements)

References 26 publications

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“…4 More recently, several reports have been published on three-dimensional (3D) facial soft-tissue prediction methods using finite element method (FEM), 5,6 mass-spring model 7 and mass tensor model. [8][9][10] Among these, FEM is reported to be the most common, accurate and biomechanically relevant method. 11 Nonetheless, the prediction of facial features following orthognathic surgery is still less than ideal, especially around the nose, lips and chin regions, which are critically important for facial esthetics and in evaluating surgical outcome.…”

Section: Introductionmentioning

confidence: 99%

A clinically validated prediction method for facial soft‐tissue changes following double‐jaw surgery

Kim

Mai

et al. 2017

Medical Physics

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Purpose It is clinically important to accurately predict facial soft tissue changes prior to orthognathic surgery. However, the current simulation methods are problematic, especially in anatomic regions of clinical significance, e.g., the nose, lips and chin. We developed a new 3-stage finite element method (FEM) approach that incorporates realistic tissue sliding to improve such prediction. Methods In Stage One, soft-tissue-change was simulated using FEM with patient-specific mesh models generated from our previously developed eFace template. Postoperative bone movement was applied on the patient mesh model with standard FEM boundary conditions. In Stage Two, the simulation was improved by implementing sliding effects between gum tissue and teeth using a nodal force constraint scheme. In Stage Three, the result of the tissue sliding effect was further enhanced by reassigning the soft tissue-bone mapping and boundary conditions using nodal spatial constraint. Finally, our methods have been quantitatively and qualitatively validated using 40 retrospectively evaluated patient cases by comparing it to the traditional FEM method and the FEM with sliding effect using a nodal force constraint method. Results The results showed that our method was better than the other two methods. Using our method, the quantitative distance errors between predicted and actual patient surfaces for the entire face and any sub-regions thereof were below 1.5 mm. The overall soft tissue change prediction was accurate to within 1.1 ± 0.3 mm, with the accuracy around the upper and lower lip regions of 1.2 ± 0.7 mm and 1.5 ± 0.7 mm, respectively. The results of qualitative evaluation completed by clinical experts showed an improvement of 46% in acceptance rate compared to the traditional FEM simulation. More than 80% of the result of our approach was considered acceptable in comparison with 55% and 50% following the other two methods. Conclusion The FEM simulation method with improved sliding effect showed significant accuracy improvement in the whole face and the clinically significant regions (i.e., nose and lips) in comparison with the other published FEM methods, with or without sliding effect using a nodal force constraint. The qualitative validation also proved the clinical feasibility of the developed approach.

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Section: Introductionmentioning

confidence: 99%

A clinically validated prediction method for facial soft‐tissue changes following double‐jaw surgery

Kim

Mai

et al. 2017

Medical Physics

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“…Therefore, two different methods were used to find vertex correspondence in all three datasets 14 : closest point matching (CPM), which considers the closest point in the ground truth surface as corresponding point; and thin plate spline plus closest point matching (TPS+CPM), which first warps the reconstructed face with a TPS transformation and a set of landmarks, and subsequently finds the closest point on the ground truth surface.…”

Section: Methodsmentioning

confidence: 99%

3D Face Reconstruction from 2D Pictures: First Results of a Web-Based Computer Aided System for Aesthetic Procedures

et al. 2013

Self Cite

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The human face is a vital component of our identity and many people undergo medical aesthetics procedures in order to achieve an ideal or desired look. However, communication between physician and patient is fundamental to understand the patient's wishes and to achieve the desired results. To date, most plastic surgeons rely on either "free hand" 2D drawings on picture printouts or computerized picture morphing. Alternatively, hardware dependent solutions allow facial shapes to be created and planned in 3D, but they are usually expensive or complex to handle. To offer a simple and hardware independent solution, we propose a web-based application that uses 3 standard 2D pictures to create a 3D representation of the patient's face on which facial aesthetic procedures such as filling, skin clearing or rejuvenation, and rhinoplasty are planned in 3D.The proposed application couples a set of well-established methods together in a novel manner to optimize 3D reconstructions for clinical use. Face reconstructions performed with the application were evaluated by two plastic surgeons and also compared to ground truth data. Results showed the application can provide accurate 3D face representations to be used in clinics (within an average of 2 mm error) in less than 5 minutes.

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“…The PSAR is intended for procedure planning, and could be a valuable addition to resident training (Schendel and Lane, 2009). In a similar vein, Kim et al have developed a novel template-based facial muscle prediction program for computationally efficient simulation of soft-tissue deformation following surgery (Kim et al, 2010). Such advances will increase the potential for high-fidelity simulations required for teaching more nuanced, subtle procedures.…”

Section: Conditionmentioning

confidence: 99%

Simulation in Plastic Surgery Training: Past, Present and Future

Arbogast¹,

Rosen²

2012

Current Concepts in Plastic Surgery

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A new soft-tissue simulation strategy for cranio-maxillofacial surgery using facial muscle template model

Cited by 45 publications

References 26 publications

A clinically validated prediction method for facial soft‐tissue changes following double‐jaw surgery

A clinically validated prediction method for facial soft‐tissue changes following double‐jaw surgery

3D Face Reconstruction from 2D Pictures: First Results of a Web-Based Computer Aided System for Aesthetic Procedures

Simulation in Plastic Surgery Training: Past, Present and Future

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