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Helical-like scan and upright CBCT imaging algorithms based on robotic-arm system.

Tong Lin1, Tianling Lyu2, Jiashun Wang1

  • 1Laboratory of Image Science and Technology, Southeast University, Nanjing, China.

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|July 16, 2025
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This study introduces a new upright reverse helical cone-beam CT (CBCT) system for enhanced medical imaging. The system offers high-quality reconstructions, improved efficiency, and reduced radiation dose for various clinical applications.

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Area of Science:

  • Medical Imaging
  • Cone-Beam Computed Tomography (CBCT)
  • Robotic Systems

Background:

  • Upright position CT scans are valuable in rehabilitation medicine but face limitations.
  • Challenges include restricted field of view (FoV) along the Z-axis, limited acquisition angles, and floor stability issues.
  • Existing methods struggle with mechanical vibrations and inhomogeneous sampling in robotic CBCT.

Purpose of the Study:

  • To develop an algorithm for high-quality image reconstruction in lightweight robotic-arm CBCT systems.
  • To address challenges of mechanical vibrations, limited Z-axis scanning range, and inhomogeneous sampling.
  • To enable accurate imaging under realistic upright conditions with enhanced robotic capabilities.

Main Methods:

  • Utilized a long Z-axis helical steel ball phantom and a greedy ball-positioning algorithm for geometrical calibration.
  • Implemented a data completeness-driven method to optimize scanning pitch for rapid, full-body scans.
  • Employed a normalized projection-based FDK-style algorithm for reconstruction quality under reverse helical constraints.

Main Results:

  • Achieved competitive reconstruction accuracy with low RMSE values across different phantoms (Shepp-Logan, foam-like, VHP).
  • Demonstrated computational efficiency, outperforming iterative methods while preserving image quality.
  • Significantly reduced radiation dose compared to conventional helical CT, with substantial dose reductions observed.

Conclusions:

  • The proposed system offers a robust solution for long-length Z-axis imaging in upright, unstable, and nonstandard sampling scenarios.
  • The framework has potential for advancing robotic-arm upright CBCT systems.
  • Applications include orthopedic functional evaluations and other clinical imaging needs.