Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Convergence Study on the Reduction of Noise and Streak Artifacts in Shoulder Joint Computed Tomography

어깨관절 컴퓨터 단층 검사 시 발생하는 노이즈 및 줄무늬 인공물 감소에 대한 융합 연구

  • Jang, Hyon-Chol (Department of Radiological Technology, Suseong University) ;
  • Cho, Pyong-Kon (Department of Radiological Science, Daegu Catholic University)
  • 장현철 (수성대학교 방사선과) ;
  • 조평곤 (대구가톨릭대학교 방사선학과)
  • Received : 2021.05.10
  • Accepted : 2021.07.20
  • Published : 2021.07.28
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Abstract

The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.

어깨관절 컴퓨터 단층 검사 시 발생하는 노이즈 및 줄무늬 인공물에 있어 Boost3D 알고리즘 적용을 통해 노이즈 및 줄무늬 인공물 감소 효과를 알아보고자 하였다. 어깨관절이 포함된 흉부팬텀을 이용한 팬텀 연구와 2020년 9월부터 2020년 10월까지 어깨관절 컴퓨터단층검사를 실시한 35명에 대한 어깨관절 영상을 통해 임상 평가를 하였다. 평가는 Boost3D 알고리즘 적용 전 그룹과 후 그룹으로 나누어 노이즈 값, 신호 대 노이즈 비, 평균 대 표준편차 비 값을 분석하였다. 팬텀 영상 평가 및 임상 영상 평가에서 분석한 노이즈 값 및 평균 대 표준편차 비 값 모두 Boost3D 적용 후 그룹에서 통계적으로 유의하게 낮게 나타났다(p<0.05). 본 연구를 통해 Boost3D 적용을 통해 노이즈 및 줄무늬 인공물이 감소됨을 알 수 있었으며, 평균 대 표준편차 비 값이 높게 나타나 우수한 영상으로 판단할 수 있다. 어께관절 컴퓨터 단층 검사 시 Boost3D 알고리즘을 이용한다면 어깨관절 부위에서 발생할 수 있는 노이즈 및 줄무늬 인공물을 감소시킨 우수한 영상을 얻을 수 있을 것으로 생각된다.

Keywords

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