Low-dose CBCT reconstruction using hessian schatten penalties

Liang Liu, Xinxin Li, Kai Xiang, Jing Wang, Shan Tan

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Cone-beam computed tomography (CBCT) has been widely used in radiation therapy. For accurate patient setup and treatment target localization, it is important to obtain high-quality reconstruction images. The total variation (TV) penalty has shown the state-of-The-Art performance in suppressing noise and preserving edges for statistical iterative image reconstruction, but it sometimes leads to the so-called staircase effect. In this paper, we proposed to use a new family of penalties-the Hessian Schatten (HS) penalties-for the CBCT reconstruction.Consisting of the second-order derivatives, the HS penalties are able to reflect the smooth intensity transitions of the underlying image without introducing the staircase effect. We discussed and compared the behaviors of several convex HS penalties with orders 1, 2, and +∞ for CBCT reconstruction. We used the majorization-minimization approach with a primal-dual formulation for the corresponding optimization problem. Experiments on two digital phantoms and two physical phantoms demonstrated the proposed penalty family's outstanding performance over TV in suppressing the staircase effect, and the HS penalty with order 1 had the best performance among the HS penalties tested.

Original languageEnglish (US)
Article number8081818
Pages (from-to)2588-2599
Number of pages12
JournalIEEE Transactions on Medical Imaging
Volume36
Issue number12
DOIs
StatePublished - Dec 2017

Keywords

  • CBCT
  • Hessian Schatten penalty.
  • Image reconstruction
  • Staircase effect
  • TV

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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