Development of Gated Myocardial SPECT Analysis Software and Evaluation of Left Ventricular Contraction Function

게이트 심근 SPECT 분석 소프트웨어의 개발과 좌심실 수축 기능 평가

  • Lee, Byeong-Il (Department of Nuclear Medicine, Seoul National University College of Medicine) ;
  • Lee, Dong-Soo (Department of Nuclear Medicine, Seoul National University College of Medicine) ;
  • Lee, Jae-Sung (Department of Nuclear Medicine, Seoul National University College of Medicine) ;
  • Chung, June-Key (Department of Nuclear Medicine, Seoul National University College of Medicine) ;
  • Lee, Myung-Chul (Department of Nuclear Medicine, Seoul National University College of Medicine) ;
  • Choi, Heung-Kook (Department of Information & Computer Engineering, Inje University)
  • 이병일 (서울대학교의과대학 핵의학교실) ;
  • 이동수 (서울대학교의과대학 핵의학교실) ;
  • 이재성 (서울대학교의과대학 핵의학교실) ;
  • 정준기 (서울대학교의과대학 핵의학교실) ;
  • 이명철 (서울대학교의과대학 핵의학교실) ;
  • 최흥국 (인제대학교 정보컴퓨터공학부)
  • Published : 2003.04.30

Abstract

Objectives: A new software (Cardiac SPECT Analyzer: CSA) was developed for quantification of volumes and election fraction on gated myocardial SPECT. Volumes and ejection fraction by CSA were validated by comparing with those quantified by Quantitative Gated SPECT (QGS) software. Materials and Methods: Gated myocardial SPECT was peformed in 40 patients with ejection fraction from 15% to 85%. In 26 patients, gated myocardial SPECT was acquired again with the patients in situ. A cylinder model was used to eliminate noise semi-automatically and profile data was extracted using Gaussian fitting after smoothing. The boundary points of endo- and epicardium were found using an iterative learning algorithm. Enddiastolic (EDV) and endsystolic volumes (ESV) and election fraction (EF) were calculated. These values were compared with those calculated by QGS and the same gated SPECT data was repeatedly quantified by CSA and variation of the values on sequential measurements of the same patients on the repeated acquisition. Results: From the 40 patient data, EF, EDV and ESV by CSA were correlated with those by QGS with the correlation coefficients of 0.97, 0.92, 0.96. Two standard deviation (SD) of EF on Bland Altman plot was 10.1%. Repeated measurements of EF, EDV, and ESV by CSA were correlated with each other with the coefficients of 0.96, 0.99, and 0.99 for EF, EDV and ESV respectively. On repeated acquisition, reproducibility was also excellent with correlation coefficients of 0.89, 0.97, 0.98, and coefficient of variation of 8.2%, 5.4mL, 8.5mL and 2SD of 10.6%, 21.2mL, and 16.4mL on Bland Altman plot for EF, EDV and ESV. Conclusion: We developed the software of CSA for quantification of volumes and ejection fraction on gated myocardial SPECT. Volumes and ejection fraction quantified using this software was found valid for its correctness and precision.

목적: 게이트 심근 SPECT 영상 데이터에서 좌심실을 분할하고 단위영상 각각의 심실부피를 계산하는 소프트웨어를 개발하였다. 개발한 소프트웨어에서 얻은 구혈률을 상용 소프트웨어QGS (Quantitative Gated SPECT)에서 산출한 값과 비교하여 검증하였다. 대상 및 방법: 게이트 심근 SPECT를 시행하여 구혈률 15%-80%, 확장기말 부피는 49 mL-293 mL, 수축기말 부피는 8 mL-250 mL인 40명의 영상데이터를 사용하여 이 연구에서 개발한 CSA (Cardiac SPECT Analyzer)로 구혈률과 부피를 산출하여 QGS로 얻은 결과와 비교하였다. 같은 영상을 CSA로 두 번 분석하여 구혈률과 부피가 같은 값이 나오는지 보고, 26명의 환자에서 같은 자리에서 두 번 이어서 얻은 게이트 SPECT 영상을 CSA로 분석하여 편차를 조사하였다. 결과: CSA측정과 QGS 측정의 상관성은 상관계수가 구혈률, 확장기말 부피, 수축기말 부피 각각 0.97, 0.92, 0.96이었고 Bland Altman 도표에 치우침 없이 2표준편차가 구혈률의 경우 10.1%이었다. 같은 영상에 대한 CSA 2회 측정 결과의 상관은 0.96, 0.99, 0.99 이었고 구혈률의 2표준편차는 3.4%이었다. 두 번 연속 촬영한 영상으로 CSA 분석한 결과 상관계수는 0.89, 0.97, 0.98, 이었고 변이계수는 8.2%, 5.4mL, 8.5mL, Bland Altman 도표 2표준편차는 구혈률의 경우 10.6%이었다. 결론: 게이트 심근 SPECT에서 얻은 영상으로 구혈률을 측정할 수 있는 소프트웨어를 개발하였다. 이 소프트웨어로 얻은 구혈률, 화장기말 부피, 수축기말 부피는 정확하며 정밀하였다. 구혈률의 2표준편차는 10.6%이었다.

Keywords

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