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An image-based metal artifact reduction technique utilizing forward projection in computed tomography.

Katsuhiro Ichikawa1, Hiroki Kawashima2, Tadanori Takata3

  • 1Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa, 920-0942, Japan. ichikawa@mhs.mp.kanazawa-u.ac.jp.

Radiological Physics and Technology
|March 28, 2024
PubMed
Summary

Forward projection data (FP-data) can be used for metal artifact reduction (MAR) in computed tomography (CT) images. A new technique, FPNMAR, shows comparable performance to conventional methods but is significantly faster.

Keywords:
Computed tomographyForward projectionMetal artifactParallel computationProjection data

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Area of Science:

  • Medical Imaging
  • Image Processing
  • Radiology

Background:

  • Computed tomography (CT) images often suffer from metal artifacts, particularly from implants.
  • Forward projection data (FP-data) from CT images offer potential for artifact reduction when direct projection data are unavailable.
  • The efficacy of using FP-data for metal artifact reduction (MAR) in compromised CT images remains an open question.

Purpose of the Study:

  • To investigate the feasibility of a novel MAR technique utilizing FP-data.
  • To compare the performance of this FP-data-based MAR (FPNMAR) against a conventional method (NMARconv).
  • To evaluate the efficiency and clinical applicability of FPNMAR.

Main Methods:

  • Modified a conventional robust MAR (NMARconv) to incorporate FP-data, creating FPNMAR.
  • Utilized a graphics processing unit (GPU) to accelerate FP-data generation and processing.
  • Quantitatively assessed performance using normalized artifact index (AI_n) for hip prosthesis and dental filling cases.

Main Results:

  • FPNMAR demonstrated performance statistically similar to NMARconv, with no significant difference in AI_n values.
  • FPNMAR effectively reduced metal artifacts in clinical CT images, recovering obscured soft tissue and bone details.
  • The computation time for FPNMAR was approximately 56 ms per image, indicating high efficiency.

Conclusions:

  • FPNMAR is a feasible and effective technique for metal artifact reduction in CT images, even without direct projection data access.
  • FPNMAR achieves performance comparable to conventional methods but with significantly reduced processing time.
  • The speed and effectiveness of FPNMAR suggest its potential for widespread clinical adoption.