An algorithm for the reduction of metal clip artifacts in CT reconstructions

Area of Science:

• Medical Imaging
• Radiology
• Computer-Aided Diagnosis

Background:

• Surgical metal clips are common in patients but cause significant artifacts in CT scans.
• These artifacts manifest as radial streaks, obscuring anatomical details and potentially leading to misdiagnosis.

Purpose of the Study:

• To investigate the primary cause of metal clip artifacts in CT reconstructions.
• To develop and evaluate an algorithm for reducing the intensity of these artifacts.

Main Methods:

• The study identified clip motion during scanning as the main cause of artifacts.
• A novel algorithm was developed to mitigate artifacts by replacing projection data near the clip with interpolated values.
• The algorithm simulates the clip as an object with average surrounding density.

Main Results:

• The algorithm demonstrated substantial reduction in streak intensity in both head and body CT scans.
• Computer simulations confirmed the effectiveness of the artifact reduction technique.
• The method successfully minimized the visual impact of metal clip artifacts.

Conclusions:

• Clip motion during CT acquisition is the primary driver of image artifacts.
• The proposed algorithm effectively reduces metal artifact intensity, enhancing CT image quality.
• This technique offers a promising solution for improving diagnostic accuracy in patients with surgical metal clips.