Human bone model establishing method based on bone imaging
A technology of model building and human bone, which is applied in the field of medical image processing, can solve the problems of randomness of human bone material properties, intricate mesoscopic structure, and high cost of mesh division, so as to achieve appropriate model capacity, ensure effective establishment, and solve high cost Effect
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[0064] Such as figure 2 As shown, it is a specific flow diagram of this embodiment, including the following steps:
[0065] This embodiment adopts python language, based on micro-computed tomography (micro-CT) imaging of a cancellous bone tissue sample (the sample is derived from the human humerus of an 86-year-old female donor, the sample diameter is 8.35mm, and the length is 12mm). , directly program and output the point metadata set of the human bone model suitable for the particle-based meshless method, and finally use the particle-based meshless method to establish the human bone model, including the following steps:
[0066] Step 1: Read the micro-CT imaging source file of the bone tissue through the pydicom package, restore the read pixel matrix, convert the original pixel unit into a standard Hoinz unit, and then pass each slice The Hoinz unit matrix is stacked into a three-dimensional matrix, and a three-dimensional human bone imaging data set is reconstructed;
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