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Hybrid Iterative Reconstruction for Low Radiation Dose Computed Tomography

  • Jinghua Sheng
  • Bin Chen
  • Bocheng Wang
  • Qingqiang Liu
  • Yangjie Ma
  • Weixiang Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11306)

Abstract

The purpose of this paper is to study the use of hybrid iterative reconstruction (HIR) technique for radiation dose reduction and its effect on low-contrast resolution. This method is designed to create prior information for improving image quality from low dose CT scanners. We compare the performance of lower radiation dose with the HIR and standard dose with the filtered back projection (FBP) using catphan®504 phantom, which is used to measure various image quality parameters. Results show that there are continuous linear reduction of noise and linear increase of CNR with increasing HIR levels compared to FBP for any given scanning protocol. It is possible to provide equivalent diagnostic image quality at low dose. In this paper, we use a quantitative method to evaluate the noise characteristics. Evidence from phantom tests demonstrates that the shape of NPSHIR is shifted continuously to low frequency with increasing HIR levels compared to FBP for any given scanning protocol. Our study confirms that even if there are continuous reduction of noise and increase of CNR with increasing HIR levels, the performance of human observers did not seem to be improved simultaneously because coarser noise could appear. Our finding that the low-frequency components (HIR) are greater than one of FBP (previously believed) may result in the discrepancy between the performance of human observers and that of the ideal low-contrast objects.

Keywords

Computed tomography Low contrast Noise power spectrum HIR Image quality Iterative reconstruction 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Jinghua Sheng
    • 1
  • Bin Chen
    • 1
  • Bocheng Wang
    • 1
    • 2
  • Qingqiang Liu
    • 1
  • Yangjie Ma
    • 1
  • Weixiang Liu
    • 1
  1. 1.College of Computer ScienceHangzhou Dianzi UniversityHangzhouChina
  2. 2.Zhejiang University of Media and CommunicationHangzhouChina

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