DOI QR코드

DOI QR Code

Breast PET CT 영상 재구성 변화에 따른 대조도 대 잡음비와 신호 대 잡음비의 비교평가

Evaluation and Comparison of Contrast to Noise Ratio and Signal to Noise Ratio According to Change of Reconstruction on Breast PET/CT

  • 이재영 (서울대학교병원 핵의학과) ;
  • 이을규 (인제대학교서울백병원 영상의학과) ;
  • 김기원 (강동경희대병원 영상의학과) ;
  • 정회원 (백석문화대학교 방사선과) ;
  • 유광열 (신구대학교 방사선과) ;
  • 박훈희 (신구대학교 방사선과) ;
  • 손진현 (신구대학교 방사선과) ;
  • 민정환 (신구대학교 방사선과)
  • Lee, Jea-Young (Department of Nuclear Medicine, Seoul National University Hospital) ;
  • Lee, Eul-Kyu (Department of Radiology, Inje Paik University Hospital Jeo-dong) ;
  • Kim, Ki-Won (Department of Radiology, Kyung Hee University Hospital at Gang-dong) ;
  • Jeong, Hoi-Woun (Department of Radiological Technology, The Baekseok Culture University) ;
  • Lyu, Kwang-Yeul (Department of Radiological Technology, The Shingu University) ;
  • Park, Hoon-Hee (Department of Radiological Technology, The Shingu University) ;
  • Son, Jin-Hyun (Department of Radiological Technology, The Shingu University) ;
  • Min, Jung-Whan (Department of Radiological Technology, The Shingu University)
  • 투고 : 2017.02.20
  • 심사 : 2017.03.14
  • 발행 : 2017.03.31

초록

본 연구는 양전자 컴퓨터단층촬영(Positron Emission Computed Tomography; PET-CT) 유방암 영상에서 질환관심영역(Region of Interest; ROI)의 대조도 대 잡음비(Contrast to Noise Ratio; CNR)와 신호 대 잡음비(Signal to Noise Ratio; SNR)를 재구성 기법별로 측정 평가하여 통계적 분석을 하고자 하였다. 연구대상은 서울소재 대학병원에서 유방 양전자 컴퓨터단층촬영(Breast PET-CT)을 검사한 환자 100명이다. 측정방법은 ImageJ 프로그램을 사용하여 표본의 인구사회학적 특성, 영상 재구성 기법별 유방암의 SNR과 CNR의 평균값, 95% 신뢰구간 값, SNR과 CNR의 평균차이 값 등을 분석하였다. SPSS Statistics21 통계프로그램으로 ANOVA 분석을 하였으며 p<0.05에서 유의한 것으로 판단하였다. 영상 재구성 기법별 분석결과는 CNR과 SNR 모두 TrueX_TOF, Iterative, Iterative-TOF, FBP-TOF 순으로 높은 값을 나타냈다(p<0.05). CNR과 SNR수치로 영상 재구성 기법의 특징을 조합하여 PET/CT 검사의 정확성과 편의성을 제공할 것이라 사료된다.

The purpose of this study was to measure contrast to noise ratio (CNR) and signal to noise ratio (SNR) according to change of reconstruction from region of interest (ROI) in breast positron emission tomography-computed tomography (PET-CT), and to analyze the CNR and SNR statically. We examined images of breast PET-CT of 100 patients in a University-affiliated hospital, Seoul, Korea. Each patient's image of breast PET-CT were calculated by using ImageJ. Differences of CNR and SNR among four reconstruction algorithms were tested by SPSS Statistics21 ANOVA test for there was statistical significance (p<0.05). We have analysis socio-demographical variables, CNR and SNR according to reconstruction images, 95% confidence according to CNR and SNR of reconstruction and difference in a mean of CNR and SNR. SNR results, with the quality of distributions in the order of PSF_TOF, Iterative and Iterative-TOF, FBP-TOF. CNR, with the quality of distributions in the order of PSF_TOF, Iterative and Iterative-TOF, FBP-TOF. CNR and SNR of PET-CT reconstruction methods of the breast would be useful to evaluate breast diseases.

키워드

참고문헌

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