3D printing personalized orthopedic implant construction and biomechanical optimization processing method

Abstract

The invention belongs to the technical field of image information processing, and discloses a 3D printing personalized orthopedic internal plant construction and biomechanical optimization processing method. First, the CT image is preprocessed; then the CT image is segmented; and then a typical three-dimensional skeleton is reconstructed. Model, using a typical model as a template, repairing and reconstructing other bones based on the template for 3D bone model; researching on the digital grid registration algorithm for bone anatomical reduction; designing a personalized surgical guide plate optimized by the nail placement plan ; Optimize the geometric shape matching and mechanical properties of personalized artificial joint prosthesis; print the 3D model and perform orthopedic implant treatment based on 3D printing. The invention has important theoretical significance and clinical application value for shortening the preoperative planning cycle of orthopedics, improving the implantation efficiency and mechanical properties of personalized implants, reducing operation time and surgical trauma, and promoting the development of orthopedic implants industry.

Description

technical field [0001] The invention belongs to the technical field of image information processing, and in particular relates to a 3D printing personalized orthopedic internal plant construction and biomechanical optimization processing method. Background technique [0002] At present, the closest existing technology: Before traditional orthopedic surgery, doctors generally understand the condition through X-ray, CT and other imaging methods, and then plan and simulate the operation on two-dimensional drawings or in the mind. This method is difficult to intuitively understand the injured bone area, it is difficult to perform complex surgical simulation, and it has high requirements on the professional level and imagination of doctors. 3D printed mock-ups provide a more realistic environment than digital models. Doctors can make an accurate diagnosis before the operation, formulate a detailed operation plan, evaluate the possible risks during the operation, and practice on ...

AI Technical Summary

Problems solved by technology

3D printing needs to print 3D model slices layer by layer. Traditional slicing with equal layer thickness will cause a contradiction between model accuracy and printing time: the layer thickness is small, the model accuracy is guaranteed, but the printing time is long; on the contrary, the printing time is shortened, but the Easy to lead to large model step error

[0020] (1) The 3D bone model reconstruction based on CT images still has modeling difficulties and a large amount of interaction

[0021] (2) For the design of personalized orthopedic implants and surgical guides, it is necessary to be proficient in relevant medical and CAD design software, and to have certain surgical experience, which requires high personnel requirements

[0022] (3) The mechanical properties of 3D printed orthopedic implants have low mechanical strength and poor fatigue resistance, making it difficult to adapt to high-intensity long-term use after surgery

[0024] The 3D bone model reconstruction method based on CT images still has problems such as modeling difficulties and heavy interactive workload

The main reason is that the particularity of medical images makes it difficult for the algorithm to automatically process, for example: the gap between bones is too small, resulting in blurred boundaries between adjacent bones; the gray value of cancellous bone is between bone and soft tissue, making it difficult to distinguish; Collapse of the defect in the diseased bone, causing penetration of the bone border

[0025] The 3D printing optimization of bone models and artificial prostheses not only needs to consider their geometric properties, but also needs to consider anatomical structures and biomechanical characteristics, and the corresponding algorithms have not been reported yet.

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