169 157

Cited 2 times in

An efficient iterative CBCT reconstruction approach using gradient projection sparse reconstruction algorithm

Authors
 Heui Chang Lee  ;  Bongyong Song  ;  Jin Sung Kim  ;  James J. Jung  ;  H. Harold Li  ;  Sasa Mutic  ;  Justin C. Park 
Citation
 ONCOTARGET , Vol.7(52) : 87342-87350, 2016 
Journal Title
ONCOTARGET
Issue Date
2016
Abstract
The purpose of this study is to develop a fast and convergence proofed CBCT reconstruction framework based on the compressed sensing theory which not only lowers the imaging dose but also is computationally practicable in the busy clinic. We simplified the original mathematical formulation of gradient projection for sparse reconstruction (GPSR) to minimize the number of forward and backward projections for line search processes at each iteration. GPSR based algorithms generally showed improved image quality over the FDK algorithm especially when only a small number of projection data were available. When there were only 40 projections from 360 degree fan beam geometry, the quality of GPSR based algorithms surpassed FDK algorithm within 10 iterations in terms of the mean squared relative error. Our proposed GPSR algorithm converged as fast as the conventional GPSR with a reasonably low computational complexity. The outcomes demonstrate that the proposed GPSR algorithm is attractive for use in real time applications such as on-line IGRT.
Files in This Item:
T201605544.pdf Download
DOI
10.18632/oncotarget.13567
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152907
사서에게 알리기
  feedback

qrcode

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

Browse

Links