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Anterior Cruciate Ligament Transection and Synovial Fluid Lavage in a Rodent Model to Study Joint Inflammation and Posttraumatic Osteoarthritis
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Quantifying the tibiofemoral joint space using x-ray tomosynthesis.

Benjamin Kalinosky1, John M Sabol, Kelly Piacsek

  • 1Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin 53201.

Medical Physics
|December 14, 2011
PubMed
Summary

A new semiautomated algorithm quantifies 3D knee joint space width (JSW) from digital x-ray tomosynthesis (DTS) images. This method achieves sub-millimeter accuracy for posterior-anterior DTS acquisitions, aiding osteoarthritis diagnosis and monitoring.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Biomedical Engineering

Background:

  • Digital x-ray tomosynthesis (DTS) offers 3D knee joint visualization in load-bearing positions, potentially improving osteoarthritis (OA) assessment over standard radiography.
  • Quantifying 3D joint space width (JSW) from DTS data manually is challenging.

Purpose of the Study:

  • To develop and validate a semiautomated algorithm for quantifying 3D tibiofemoral JSW from DTS images.
  • To assess the algorithm's accuracy using phantom experiments and clinical data.

Main Methods:

  • A semiautomated algorithm utilizing 1D multiscale gradient kernels to enhance DTS volumes.
  • Segmentation of tibial and femoral edges and construction of a 2D JSW map.
  • Validation with adjustable knee phantoms (0-5 mm JSW) and comparison with CT data.

Main Results:

  • The algorithm successfully generated JSW maps for all datasets.
  • For posterior-anterior (PA) phantom data, accuracy was 0.34 mm error (R²=0.962).
  • Lateral phantom data showed higher error (2.13 mm) attributed to artifacts; DTS and CT JSW maps varied by 0.6-0.8 mm.

Conclusions:

  • A semiautomated method for quantifying 3D knee JSW from DTS images was developed.
  • The algorithm achieved sub-millimeter accuracy for PA DTS acquisitions.
  • DTS shows promise for OA diagnosis and monitoring by providing quantitative JSW imaging.