4.5 Article

A Simple Low-Dose X-Ray CT Simulation From High-Dose Scan

期刊

IEEE TRANSACTIONS ON NUCLEAR SCIENCE
卷 62, 期 5, 页码 2226-2233

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNS.2015.2467219

关键词

High-dose; low-dose; simulation; X-ray computed tomography (CT)

资金

  1. National Natural Science Foundation of China [81371544, 61571214, 81501466, 81501541]
  2. National Science and Technology Major Project of Ministry of Science and Technology of China [2014BAI17B02]
  3. Guangdong Natural Science Foundation [2015A030313271, 2014A030310243, 2015A030310018]
  4. Science and Technology Program of Guangzhou, China [201510010039]
  5. National Institutes of Health
  6. National Cancer Institute [CA143111, CA082402]

向作者/读者索取更多资源

Low-dose X-ray computed tomography (CT) simulation from a high-dose scan is required in optimizing radiation dose to patients. In this paper, we propose a simple low-dose CT simulation strategy in the sinogram domain using the raw data from high-dose scan. Specially, a relationship between the incident fluxes of low- and high-dose scans is first determined according to the repeated projection measurements and analysis. Second, the incident flux level of the simulated low- dose scan is generated by properly scaling the incident flux level of the high-dose scan via the determined relationship in the first step. Third, the low- dose CT transmission data by energy integrating detection is simulated by adding a statistically independent Poisson noise distribution plus a statistically independent Gaussian noise distribution. Finally, a filtered back-projection (FBP) algorithm is implemented to reconstruct the resultant low- dose CT images. The present low- dose simulation strategy is verified on the simulations and real scans by comparing it with the existing low- dose CT simulation tool. Experimental results demonstrated that the present low- dose CT simulation strategy can generate accurate low- dose CT sinogram data from high-dose scans in terms of qualitative and quantitative measurements.

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