A embedding thread lifting plastic surgery simulation system
A plastic surgery and simulation system technology, applied in the field of virtual surgery system modeling, can solve the problems of few plastic surgery training systems and few simulation systems, and achieve the effects of reducing costs, reducing time and memory usage, and improving the success rate
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specific Embodiment approach 1
[0025] Specific implementation mode one: as figure 1 As shown, a thread embedding lifting plastic surgery simulation system described in this embodiment includes: human face geometric modeling module 1, human facial tissue physical modeling module 2, collision detection module 3, visualization module 4, force feedback module 5 , Auxiliary module 6.
[0026] The human face geometric modeling module 1 is used to generate a virtual three-dimensional geometric model of the human face, and in a virtual environment, provides the user with an object for surgical training; the human face geometric modeling module 1 is also used to import a two-dimensional tomographic scan of the human face Image data, and perform threshold screening, interactive segmentation, and reconstruction of 3D surface models of 2D tomographic image data of the human face; the geometric modeling module 1 of the human face is also used for solid mesh division of the 3D geometric model of the human face (tetrahed...
specific Embodiment approach 2
[0032] Such as figure 2 As shown, the concrete process that the human facial geometry modeling module 1 described in this embodiment realizes its function is:
[0033] 1) Three-dimensional reconstruction of the geometric model of the human face
[0034] First, import the two-dimensional tomographic image data of the human face. The two-dimensional tomographic image can be in the DICOM format of CT or MRI, or in common formats such as jpg and png. Then based on the MITK class library, according to the characteristics of different gray value ranges of bone tissue and soft tissue in the imported image data, threshold screening is performed to initially segment the bone tissue and soft tissue parts in the two-dimensional tomographic image. Then perform interactive segmentation, manually erase and fill in the part where the tissue in the image does not match the actual anatomical structure. Finally, based on the MC algorithm, a three-dimensional surface model of the human face i...
specific Embodiment approach 3
[0040] Such as image 3 As shown, the concrete process that the human facial tissue physical modeling module 2 described in this embodiment realizes its function is:
[0041] In the present invention, the bone tissue of the face of the human body is considered as a rigid body without deformation. The biomechanical model of the soft tissue deformed before being punctured by the needle adopts the Mooney-Rivlin hyperelastic model, and the specific form of the soft tissue model is shown in formula (1):
[0042] W=C 10 (I 1 -3)+C 01 (I 2 -3) (1)
[0043] In the formula, W is the strain energy density function; C 10 and C 01 is the model material constant; I 1 and I 2 are the first and second principal invariants of the strain tensor;
[0044] Combined with formula (1), the grid node displacement of the human facial soft tissue under the external load and constraint conditions is calculated by the finite element method, and the specific calculation is realized by C++ langu...
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