대한핵의학회지 (1967년~2009년)
대한핵의학회지 2003;37(5)288~300
H215O PET을 이용한 뇌혈류 파라메트릭 영상 구성을 위한 알고리즘 비교
(Comparison of Algorithms for Generating Parametric Image of Cerebral Blood Flow Using H215O Positron Emission Tomography)
Author 이재성, 이동수, 박광석, 정준기, 이명철,
Jae Sung Lee, Ph.D.Dong Soo Lee, M.D., Ph.D.Kwang Suk Park, Ph.D.June-Key Chung, M.D., Ph.D.Myung Chul Lee, M.D., Ph.D.
Affiliation 서울대학교 의과대학 핵의학교실, 의공학교실
Departments of Nuclear Medicine1, and Biomedical Engineering2, Seoul National University College of Medicine, Seoul, Korea
Abstract

To obtain regional blood flow and tissue-blood partition coefficient with time-activity curves from H215O PET, fitting of some parameters in the Kety model is conventionally accomplished by nonlinear least squares (NLS) analysis. However, NLS requires considerable compuation time then is impractical for pixel-by-pixel analysis to generate parametric images of these parameters. In this study, we investigated several fast parameter estimation methods for the parametric image generation and compared their statistical reliability and computational efficiency. Materials and Methods: These methods included linear least squres (LLS), linear weighted least squares (LWLS), linear generalized least squares (GLS), linear generalized weighted least squares (GWLS), weighted integration (WI), and model-based clustering method (CAKS). H2 15O dynamic brain PET with Poisson noise component was simulated using numerical Zubal brain phantom. Error and bias in the estimation of rCBF and partition coefficient, and computation time in various noise environments was estimated and compared. In addition, parametric images from H2 15O dynamic brain PET data performed on 16 healthy volunteers under various physiological conditions was compared to examine the utility of these methods for real human data. Results: These fast algorithms produced parametric images with similar image quality and statistical reliability. When CAKS and LLS methods were used combinedly, computation time was significantly reduced and less than 30 seconds for 128×128×46 images on Pentium Ⅲ processor. Conclusion: Parametric images of rCBF and partition coefficient with good statistical properties can be generated with short computation time which is acceptable in clinical situation.

Keyword H215O PET, Cerebral blood flow, Parametric image, Tracer kinetic modeling
Full text Article 3705288.pdf 3705288.pdf
(03121)서울시 종로구 지봉로 29 금호팔레스빌딩 1705호
TEL : 02-745-2040 FAX : 02-745-3833 E-mail : ksnm@ksnm.or.kr
Copyright 2012 by The Korean Society of Nuclear Medicine(KSNM)