Paper
2 March 2018 A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images
Author Affiliations +
Abstract
In a cone beam computed tomography (CT) system, Feldkamp, Davis, and Kress (FDK) algorithm produces cone beam artifacts due to the missing cone region which has the insufficient object sampling in frequency space. While the total variation minimization based iterative reconstruction (TV-IR) may reduce the cone beam artifacts by filling in the missing cone region, it introduces image blurring or noise increase depending on the regularization parameter. In this work, we propose a method to reduce the cone beam artifacts by optimal combination of FDK and TV-IR images. The method maintains the exactness of FDK using FDK data outside the missing cone region and preserves the benefit of TV-IR in cone beam artifact reduction using TV-IR data inside the missing cone region. For the evaluation, defrise disks phantom and vertical plates phantom were used and the image quality was compared using structural similarity (SSIM) with different regularization parameters of TV-IR. The results show that both TV-IR and the proposed method were effective in cone beam artifacts reduction, but the proposed method provided good image quality regardless of the regularization parameter.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinkook Choi and Jongduk Baek "A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images", Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741Q (2 March 2018); https://doi.org/10.1117/12.2293444
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computed tomography

Image quality

3D image reconstruction

3D image processing

Fourier transforms

Back to Top