An additional tilted-scan-based CT metal-artifact-reduction method for radiation therapy planning.

Area of Science:

• Medical Imaging
• Radiation Oncology
• Image Processing

Background:

• Metal artifacts in CT scans complicate radiation therapy planning.
• Current metal artifact reduction (MAR) methods lack universal solutions.
• Accurate target delineation and dose calculation are crucial for effective radiation therapy.

Purpose of the Study:

• To propose a novel MAR method for synthesizing nearly metal-artifact-free CT images.
• To improve accuracy in radiation therapy planning by addressing metal artifacts.
• To develop a technique utilizing complementary information from an additional tilted CT scan.

Main Methods:

• Recruiting an additional tilted CT scan to acquire complementary data.
• Developing an image processing technique using structural similarity (SSIM) for artifact suppression.
• Concatenating information from both scans to minimize metal artifacts.
• Optionally applying existing MAR methods to individual scans for further enhancement.

Main Results:

• The proposed method effectively reduced metal artifacts in both simulation and experimental studies.
• Quantitative analysis showed significant error reduction, up to 86% in simulations and 89% in experiments.
• Validation was performed using XCAT numerical phantom and Rando phantom.

Conclusions:

• The novel MAR method successfully generates nearly metal-artifact-free CT images.
• The approach leverages complementary data from an additional tilted CT scan.
• This technique enhances the reliability of CT images for radiation therapy planning.