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Evaluation of image reconstruction according to changing physical parameter

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Abstract

This study is to determine an optimum kernel, which objectively compares and analyzes the image according to physical parameters such as FBP, which is widely used in abdominal CT, as well as SAFIRE, which was developed recently. CT images were acquired with a 20-cm-diameter cylinder phantom filled with water and a SOMATOM Definition Edge CT (Siemens Healthcare). The images were reconstructed with a 3-mm-thick kernel such as FBP, which has B10 (very smooth), B20 (smooth), B30 (medium smooth), B40 (medium), B50 (medium sharp), and SAFIRE, which has I30 (strength 1 to 5) and I40 (strength 1 to 5). SNR, PSNR, RMSE, MAE and Plot profile were measured using the image J (version 1.49q; National Institutes of Health, Bethesda, MD, USA) in reconstructed images. In conclusion, the optimum kernel for abdominal CT should be a SAFIRE I30 kernel of strength 1.

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Authors and Affiliations

  1. Department of Radiology Chungnam National University Hospital and Department of Biomedical Engineering, Chungnam National University, Daejeon, 35015, Korea

    Min-Cheol Jeon

  2. Department of Radiological Science, Kangwon National University, Samcheok, 25949, Korea

    Man-Seok Han

  3. Department of Radiation Oncology, Chungnam National University Hospital, Daejeon, 35015, Korea

    Jae-Uk Jang

  4. Department of Radiotechnology, Daewon University, Jecheon, 27135, Korea

    Yong-Kyun Kim

  5. Department of Radiologic Technology, Eulji University, Seongnam, 13135, Korea

    Sun-Youl Seo

  6. Department of Biomedical Engineering, Chungbuk National University, Cheongju, 28644, Korea

    Gab-Jung Kim

  7. Department of Radiological Science, Gimcheon University, Gimcheon, 39528, Korea

    Chang-Gyu Kim

Authors
  1. Min-Cheol Jeon
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  2. Man-Seok Han
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  3. Jae-Uk Jang
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  4. Yong-Kyun Kim
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  5. Sun-Youl Seo
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  6. Gab-Jung Kim
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  7. Chang-Gyu Kim
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Correspondence to Man-Seok Han.

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Jeon, MC., Han, MS., Jang, JU. et al. Evaluation of image reconstruction according to changing physical parameter. Cluster Comput 19, 931–938 (2016). https://doi.org/10.1007/s10586-016-0546-0

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  • DOI: https://doi.org/10.1007/s10586-016-0546-0

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