Moving Beam-Blocker-Based Low-Dose Cone-Beam CT

Taewon Lee, Changwoo Lee, Jongduk Baek, Seungryong Cho

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


This paper experimentally demonstrates a feasibility of moving beam-blocker-based low-dose cone-beam CT (CBCT) and exploits the beam-blocking configurations to reach an optimal one that leads to the highest contrast-to-noise ratio (CNR). Sparse-view CT takes projections at sparse view angles and provides a viable option to reducing dose. We have earlier proposed a many-view under-sampling (MVUS) technique as an alternative to sparse-view CT. Instead of switching the x-ray tube power, one can place a reciprocating multi-slit beam-blocker between the x-ray tube and the patient to partially block the x-ray beam. We used a bench-top circular cone-beam CT system with a lab-made moving beam-blocker. For image reconstruction, we used a modified total-variation minimization (TV) algorithm that masks the blocked data in the back-projection step leaving only the measured data through the slits to be used in the computation. The number of slits and the reciprocation frequency have been varied and the effects of them on the image quality were investigated. For image quality assessment, we used CNR and the detectability. We also analyzed the sampling efficiency in the context of compressive sensing: the sampling density and data incoherence in each case. We tested three sets of slits with their number of 6, 12 and 18, each at reciprocation frequencies of 10, 30, 50 and 70 Hz/rot. The optimum condition out of the tested sets was found to be using 12 slits at 30 Hz/rot.

Original languageEnglish
Pages (from-to)2540-2549
Number of pages10
JournalIEEE Transactions on Nuclear Science
Issue number5
Publication statusPublished - 2016 Oct

Bibliographical note

Funding Information:
This work was supported in part by NRF grants 2013M3C1A3064457 and 2013M2A2A9043476 in Korea, and by the Korea Evaluation Institute of Industrial Technology (KEIT) grant (10051357).

Publisher Copyright:
© 1963-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering


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