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Related Concept Videos

Adjusting a Traverse01:12

Adjusting a Traverse

80
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
80
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

104
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
104

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Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy
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Automated correction angle calculation in high tibial osteotomy planning.

Karol Przystalski1,2,3, Anna Paleczek4,5, Karol Szustakowski4,5

  • 1Medtransfer, Na Zjeździe 11, 31353, Kraków, Poland. karol.przystalski@uj.edu.pl.

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This study introduces an automated method for calculating the high tibial osteotomy (HTO) correction angle. The novel approach accurately identifies key anatomical landmarks on X-rays, improving precision in HTO planning.

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Area of Science:

  • Orthopedic surgery
  • Medical imaging analysis
  • Computer-assisted surgery

Background:

  • High tibial osteotomy (HTO) correction angle calculation is crucial for knee alignment.
  • Current methods are often manual or semi-automated, leading to variability.
  • Accurate pre-operative planning is essential for successful HTO outcomes.

Purpose of the Study:

  • To develop and validate a fully automated method for calculating the HTO correction angle.
  • To improve the accuracy and efficiency of HTO planning.
  • To reduce inter-observer variability in angle measurements.

Main Methods:

  • Utilized YOLOv4 for region of interest detection.
  • Employed YOLOv4 with Hough transform for femoral head center identification.
  • Combined YOLOv4 with ASM/AAM and image processing for other landmark detection (tibial plateau, Fujisawa point, ankle center, Hinge point).
  • Developed an end-to-end automated workflow for angle calculation.

Main Results:

  • Achieved a mean error rate of 0.5 degrees.
  • Demonstrated high reliability with an Intra-Class Correlation (ICC) of 0.99.
  • Validated on a custom dataset of standing long-leg Anterior Posterior view X-rays.
  • The method showed a narrow confidence interval (0.98-0.99).

Conclusions:

  • The proposed fully-automated method accurately calculates the HTO correction angle.
  • This approach may represent the first automated solution for HTO angle calculation.
  • The technique offers potential for enhanced precision and consistency in HTO surgery planning.