Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)

Korean Society of Radiological Science (대한방사선과학회)
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Statistical Approach of Measurement of Signal to Noise Ratio in According to Change Pulse Sequence on Brain MRI Meningioma and Cyst Images

뇌 수막종 및 낭종에서 자기공명영상 펄스 시퀀스 변화에 따른 신호대잡음비의 통계적 접근

  • Lee, Eul-Kyu (Department of Radiology, Inje Paik University Hospital Jeo-dong) ;
  • Choi, Kwan-Woo (Department of Radiology, Asan Medical Center) ;
  • Jeong, Hoi-Woun (Department of Radiological Technology, The Baekseok Culture University) ;
  • Jang, Seo-Goo (Department of Medical Science, The Soonchunhyang University) ;
  • Kim, Ki-Won (Department of Radiology, Kyung Hee University Hospital at Gang-dong) ;
  • Son, Soon-Yong (Department of Radiological Technology, The Wonkwang Health Science University) ;
  • Min, Jung-Whan (Department of Radiological Technology, The Shingu University) ;
  • Son, Jin-Hyun (Department of Radiological Technology, The Shingu University)
  • 이을규 (인제대학교서울백병원 영상의학과) ;
  • 최관우 (서울아산병원 영상의학과) ;
  • 정회원 (백석문화대학교 방사선과) ;
  • 장서구 (순천향대학교 의과학과) ;
  • 김기원 (강동경희대병원 영상의학과) ;
  • 손순룡 (원광보건대학교 방사선과) ;
  • 민정환 (신구대학교 방사선과) ;
  • 손진현 (신구대학교 방사선과)
  • Received : 2016.07.28
  • Accepted : 2016.09.20
  • Published : 2016.09.30
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Abstract

The purpose of this study was to needed basis of measure MRI CAD development for signal to noise ratio (SNR) by pulse sequence analysis from region of interest (ROI) in brain magnetic resonance imaging (MRI) contrast. We examined images of brain MRI contrast enhancement of 117 patients, from January 2005 to December 2015 in a University-affiliated hospital, Seoul, Korea. Diagnosed as one of two brain diseases such as meningioma and cysts SNR for each patient's image of brain MRI were calculated by using Image J. Differences of SNR among two brain diseases were tested by SPSS Statistics21 ANOVA test for there was statistical significance (p < 0.05). We have analysis socio-demographical variables, SNR according to sequence disease, 95% confidence according to SNR of sequence and difference in a mean of SNR. Meningioma results, with the quality of distributions in the order of T1CE, T2 and T1, FLAIR. Cysts results, with the quality of distributions in the order of T2 and T1, T1CE and FLAIR. SNR of MRI sequences of the brain would be useful to classify disease. Therefore, this study will contribute to evaluate brain diseases, and be a fundamental to enhancing the accuracy of CAD development.

본 연구는 뇌 자기공명영상에서 질환관심영역(ROI)을 설정하여 신호대잡음비(SNR)를 펄스 시퀀스 별로 분석하여 MRI CAD 개발에 필요한 기초자료를 활용하고자 하는 것이 본 연구의 목적이다. 연구대상은 2005년 1월부터 2015년 12월까지 서울소재 대학병원에서 뇌 조영자기공명영상(Brain MRI Contrast Enhancement)을 검사한 환자 117명이다. 측정이 용이한 질환 2종류 수막종(Meningioma), 낭종(Cyst)을 측정대상으로 하였고, 측정방법은 Image J 프로그램을 사용하였다. 뇌질환의 SNR값을 측정하여 SPSS Statistics21 통계프로그램으로 ANOVA 분석을 하였으며 p < 0.05에서 유의한 것으로 판단하였다. 표본의 인구사회학적 특성, 시퀀스별 SNR의 평균값, 95% 신뢰 구간 값, SNR 평균차이 값 등을 분석하였다. 각 질환의 시퀀스별 분석결과는 Meningioma: T1CE > T2 > T1, FLAIR (p<0.05); Cyst: T2 > T1, T1CE > FLAIR (p < 0.05)였다. SNR 수치로 시퀀스들의 특징을 조합하여 질환의 특성을 파악할 수 있어 향후 자기공명영상검사의 정확성과 편의성을 제공하고, 판독보조진단 프로그램 개발의 기초자료로 활용될 수 있을 것으로 기대된다.

Keywords

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