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Iterative image reconstruction for low-dose x-ray CT using a sinogram restoration induced edge-preserving prior

  • Zhaoying Bian
  • , Jing Huang
  • , Jianhua Ma
  • , Hua Zhang
  • , Zhengrong Liang
  • , Wufan Chen
  • Southern Medical University
  • Stony Brook University

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Low-dose x-ray computed tomography (CT) scan is clinically desired. However, the quality of low-dose CT image is severely degraded due to excessive photon quantum noise and electronic noise. To improve the quality of CT image with lower milliampere-seconds (mAs), in this study, we developed an iterative image reconstruction algorithm based on the maximum a posterior (MAP) principle. To preserve the edges of the reconstructed image, an edge-preserving prior was designed using a reference image reconstructed from the restored sinogram via a sinogram restoration induced non-local means image filter. For simplicity, the present approach is named as "MAP-SRNLM". Experimental results demonstrate that the present algorithm can achieve more significant gains than the existing algorithms in terms of noise reduction, contrast-to-noise ratio and resolution preservation.

源语言英语
主期刊名2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
出版商Institute of Electrical and Electronics Engineers Inc.
1160-1163
页数4
ISBN(电子版)9781467319591
DOI
出版状态已出版 - 29 7月 2014
已对外发布
活动11th IEEE International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, 中国
期限: 29 4月 20142 5月 2014

出版系列

姓名2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

会议

会议11th IEEE International Symposium on Biomedical Imaging, ISBI 2014
国家/地区中国
Beijing
时期29/04/142/05/14

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