Comparison of FBP and ML-EM Reconstruction Used by Simulation Data; Effect of the Projection Number for the SPECT Image

DOI Web Site 21 References
  • Fujihara Shuuji
    Department of Radiology, Matsue Red Cross Hospital
  • Kageyama Shingo
    Department of Radiology, Matsue Red Cross Hospital
  • Isoda Yasunori
    Department of Radiology, Matsue Red Cross Hospital Department of Health Sciences, Graduate School of Medical Sciences, Kanazawa University
  • Nagaki Akio
    Department of Radiology, Kurashiki Central Hospital Department of Health Sciences, Graduate School of Medical Sciences, Kanazawa University
  • Matsutomo Norikazu
    Department of Radiology, Kurashiki Central Hospital Program in Health and Welfare, Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima
  • Takahata Akira
    Department of Radiology, JA Hiroshima General Hospital
  • Komi Yoshihiro
    Department of Radiology, Saiseikai Yamaguchi General Hospital
  • Onishi Hideo
    Program in Health and Welfare, Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima

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Other Title
  • ＳＰＥＣＴの投影数が再構成画像に及ぼす影響―シミュレーションデータを用いたＦＢＰ法とＭＬ－ＥＭ法の比較―
  • 臨床技術 SPECTの投影数が再構成画像に及ぼす影響--シミュレーションデータを用いたFBP法とML-EM法の比較
  • リンショウ ギジュツ SPECT ノ トウエイスウ ガ サイコウセイ ガゾウ ニ オヨボス エイキョウ シミュレーションデータ オ モチイタ FBPホウ ト ML EMホウ ノ ヒカク

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Abstract

Purpose: The influence of the numbers of projection of SPECT exerting on a re-constructed image cannot be strictly evaluated by phantom studies. Therefore, we compared re-constructed images of the FBP method and the ML-EM method by using simulation data. Methods: Simulation data was entered in the image processing software, and the projection data that changed the numbers of projection was made. Afterwards, reconstructed images of the FBP and the ML-EM methods were compared with respect to contrast, %COV, and the NMSE value. Result: When the numbers of projection of the FBP and the ML-EM method were decreased, all of the contrast, %COV, and the NMSE value were more deteriorated than that of the ideal image. Therefore, the image quality of SPECT improves with both FBP and ML-EM methods when there are many numbers of projection. Moreover, the FBP method was excellent in a cold contrast, and the ML-EM method was uniformly excellent. Therefore, an understanding of features and their inspection are effective for the selection of each image reconstruction method.

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