Computer Science

Computer Science ›› 2025, Vol. 52 ›› Issue (11A): 241100152-7.doi: 10.11896/jsjkx.241100152

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Optimization of 3D Reconstruction Algorithm Based on X-ray of Lower Limb Bone

WANG Baohui1, DU Hui2, ZHANG Yuan1   

  1. 1 School of Software,Beihang University,Beijing 100191,China
    2 Beijing Jishuitan Hospital,Capital Medical University,Beijing 100032,China
  • Online:2025-11-15 Published:2025-11-10
  • About author:WANG Baohui,born in 1973,senior engineer,master supervisor.His main research interests include network security,big data,artificial intelligence,etc.
    ZHANG Yuan,born in 1995,postgra-duate.His main research interests include software engineering and compu-ter vision.
  • Supported by:
    Beijing Natural Science Foundation-Haidian Original Innovation Joint Fund Project(L222059).

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Abstract: In clinical practice,bone malformations of the lower limb are common and difficult to treat in orthopedic medicine.Doctors usually rely on anteroposterior and lateral X-rays to judge the degree of malformations in the weight-bearing position,but this process is highly dependent on the professional level and experience level of doctors.Although three-dimensional CT imaging technology exists,it cannot meet the diagnostic requirements well due to the difference between patients who need to lie flat and standing weight-bearing position during CT imaging.Therefore,it is essential to create a more intuitive and accurate display of the lower limb bone malformation model.This will not only simplify the work of doctors,but also improve the accuracy of diagnoses and help them develop more effective treatment plans.This paper proposes a model based on PSSobel-X2CTGAN model,and on the basis of this model,Transformer mechanism is added to the reshape module.In addition,CycleGAN is used for data enhancement in the preparation of data sets.After validation of the data sets in the original paper,the experimental results clearly show that the structural similarity values of the model reaches 79.51% and 56.32% on the CT-PELVIC and SKI10 data sets,respectively,while the values of the original model are only 77.49% and 49.53%,indicating a significant improvement.

Key words: Load position, Three-dimensional reconstruction, Transformer, CycleGAN, Correction of lower limb deformity

CLC Number: 

  • TP391
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