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Three-Dimensional Subject-Specific Knee Shape Reconstruction with Asynchronous Fluoroscopy Images Using Statistical

Hsuan-Yu Lu1, Kao-Shang Shih2,3, Cheng-Chung Lin4

  • 1Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.

Frontiers in Bioengineering and Biotechnology
|November 8, 2021
PubMed
Summary
This summary is machine-generated.

This study developed a new method for reconstructing 3D knee shapes using multiple X-ray images, improving accuracy with two or three image pairs compared to one. This technique enhances patient-specific knee modeling for clinical use.

Keywords:
digitally reconstructed radiographsknee jointstatistical shape modelsubject-specifictwo-phase optimization

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Orthopedics

Background:

  • Statistical Shape Modeling (SSM) aids 3D bone reconstruction from limited radiographic data.
  • Reconstruction accuracy can improve with more images, but asynchronous fluoroscopy introduces errors.
  • Existing methods face challenges with temporal and spatial asynchronization in clinical imaging.

Purpose of the Study:

  • To develop and evaluate a novel approach for subject-specific 3D knee shape reconstruction using multiple asynchronous fluoroscopy images.
  • To determine the optimal number of X-ray views for accurate knee model reconstruction.
  • To utilize a CT-based SSM model with an alternating bi-plane fluoroscope.

Main Methods:

  • Established a CT-based SSM of the knee from 60 training models of healthy young Chinese males.
  • Developed a two-phase optimization approach for 3D reconstruction from asynchronous fluoroscopy images.
  • Evaluated the approach using computer simulations and in vivo experiments with one, two, and three image pairs.

Main Results:

  • Computer simulations showed best accuracy with three image pairs (RMSE 0.52 ± 0.09 mm femur, 0.63 ± 0.085 mm tibia).
  • In vivo results demonstrated superior accuracy with three image pairs (0.64 ± 0.084 mm femur, 0.69 ± 0.069 mm tibia) compared to one pair (0.81 ± 0.126 mm femur, 0.83 ± 0.108 mm tibia).
  • No significant accuracy difference was found between using two and three image pairs.

Conclusions:

  • A new two-phase optimization approach enables accurate 3D knee model reconstruction from multiple asynchronous fluoroscopy images.
  • The developed CT-based SSM model is suitable for healthy young Chinese males.
  • Two image pairs offer a balance of accuracy, computational cost, and radiation dose for clinical applications.