A study on projection distribution of few-view reconstruction with total variation constraint

Zhang Li, Duan Xinhui, Xing Yuxiang, Chen Zhiqiang, Cheng Jianping

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In today's tomographic imaging, there are more incomplete data systems, such as few-view system. The advantage of few-view tomography is less x-ray dose and reduced scanning time. In this work, we study the projection distribution in few-view fan-beam imaging. It is one of the fundamental problems in few-view imaging because of its severe lack of projection data. The aim is to reduce data redundancy and to improve the quality of reconstructed images by research on projection distribution schemes. The reconstruction algorithm for few-view imaging is based on algebraic reconstruction techniques (ART) and total variation (TV) constraint approached by E. Sidky .et al in 2006. Study of few-view fan-beam projection distribution is performed mainly through comparison of several distribution types in projection space and reconstructed images. Results show that the distribution called short-scan type obtains the best image in five typical distributions.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2008 - Physics of Medical Imaging
StatePublished - 2008
EventMedical Imaging 2008 - Physics of Medical Imaging - San Diego, CA, United States
Duration: Feb 18 2008Feb 21 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherMedical Imaging 2008 - Physics of Medical Imaging
Country/TerritoryUnited States
CitySan Diego, CA


  • Computed tomography
  • Few-view imaging
  • Projection distribution
  • Total variation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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