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      Objective assessment of image quality and dose reduction in CT iterative reconstruction.

      1 , 1 , 2 , 2 , 2
      Medical physics
      Wiley

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          Abstract

          Iterative reconstruction (IR) algorithms have the potential to reduce radiation dose in CT diagnostic imaging. As these algorithms become available on the market, a standardizable method of quantifying the dose reduction that a particular IR method can achieve would be valuable. Such a method would assist manufacturers in making promotional claims about dose reduction, buyers in comparing different devices, physicists in independently validating the claims, and the United States Food and Drug Administration in regulating the labeling of CT devices. However, the nonlinear nature of commercially available IR algorithms poses challenges to objectively assessing image quality, a necessary step in establishing the amount of dose reduction that a given IR algorithm can achieve without compromising that image quality. This review paper seeks to consolidate information relevant to objectively assessing the quality of CT IR images, and thereby measuring the level of dose reduction that a given IR algorithm can achieve.

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          Author and article information

          Journal
          Med Phys
          Medical physics
          Wiley
          2473-4209
          0094-2405
          Jul 2014
          : 41
          : 7
          Affiliations
          [1 ] Diagnostic X-Ray Systems Branch, Office of In Vitro Diagnostic Devices and Radiological Health, Center for Devices and Radiological Health, United States Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993.
          [2 ] Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, United States Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland 20993.
          Article
          10.1118/1.4881148
          24989382
          6433b8d8-a691-4dc2-8f73-5f4b7b5285c8
          History

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