176 450

Cited 0 times in

Anisotropic Total Variation Denoising Technique for Low-Dose Cone-Beam Computed Tomography Imaging

Authors
 Ho Lee  ;  Jeongmin Yoon  ;  Eungman Lee 
Citation
 Progress in Medical Physics, Vol.29(4) : 150-156, 2018 
Journal Title
Progress in Medical Physics
ISSN
 2508-4445 
Issue Date
2018
Keywords
Low-dose CBCT ; FDK ; Anisotropic total variation ; Low mAs
Abstract
This study aims to develop an improved Feldkamp-Davis-Kress (FDK) reconstruction algorithm
using anisotropic total variation (ATV) minimization to enhance the image quality of low-dose conebeam
computed tomography (CBCT). The algorithm first applies a filter that integrates the Shepp-
Logan filter into a cosine window function on all projections for impulse noise removal. A total
variation objective function with anisotropic penalty is then minimized to enhance the difference
between the real structure and noise using the steepest gradient descent optimization with
adaptive step sizes. The preserving parameter to adjust the separation between the noise-free and
noisy areas is determined by calculating the cumulative distribution function of the gradient
magnitude of the filtered image obtained by the application of the filtering operation on each
projection. With these minimized ATV projections, voxel-driven backprojection is finally performed
to generate the reconstructed images. The performance of the proposed algorithm was evaluated
with the catphan503 phantom dataset acquired with the use of a low-dose protocol. Qualitative
and quantitative analyses showed that the proposed ATV minimization provides enhanced CBCT
reconstruction images compared with those generated by the conventional FDK algorithm, with a
higher contrast-to-noise ratio (CNR), lower root-mean-square-error, and higher correlation. The
proposed algorithm not only leads to a potential imaging dose reduction in repeated CBCT scans
via lower mA levels, but also elicits high CNR values by removing noisy corrupted areas and by
avoiding the heavy penalization of striking features.
Files in This Item:
T201805289.pdf Download
DOI
10.14316/pmp.2018.29.4.150
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Lee, Ho(이호) ORCID logo https://orcid.org/0000-0001-5773-6893
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/167138
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links