Research on the effectiveness of multi-view slice correction strategy based on deep learning in high pitch helical CT reconstruction.

Journal: Journal of X-ray science and technology
Published Date: Jan 1, 2024

Abstract

BACKGROUND: Recent studies have explored layered correction strategies, employing a slice-by-slice approach to mitigate the prominent limited-view artifacts present in reconstructed images from high-pitch helical CT scans. However, challenges persist in determining the angles, quantity, and sequencing of slices.

Authors

  • Zihan Deng
    Center of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China.
  • Zhisheng Wang
    College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
  • Legeng Lin
    Center of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China.
  • Demin Jiang
    Center of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China.
  • Junning Cui
    Center of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China.
  • Shunli Wang
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, United States of America.

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