Nuclear Medicine and Molecular Imaging

The Korean Society of Nuclear Medicine (대한핵의학회)
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Linearized Methods for Quantitative Analysis and Parametric Mapping of Brain PET

뇌 PET 영상 정량화 및 파라메터영상 구성을 위한 선형분석기법

  • Kim, Su-Jin (Department of Nuclear Medicine and Interdisciplinary Program in Radiation Applied Life Science, College of Medicine and Institute of Radiation Medicine, Medical Research Center, Seoul National University) ;
  • Lee, Jae-Sung (Department of Nuclear Medicine and Interdisciplinary Program in Radiation Applied Life Science, College of Medicine and Institute of Radiation Medicine, Medical Research Center, Seoul National University)
  • 김수진 (서울대학교 의과대학 핵의학교실 및 방사선응용생명과학협동과정, 의학연구원 방사선의학연구소) ;
  • 이재성 (서울대학교 의과대학 핵의학교실 및 방사선응용생명과학협동과정, 의학연구원 방사선의학연구소)
  • Published : 2007.04.30
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Abstract

Quantitative analysis of dynamic brain PET data using a tracer kinetic modeling has played important roles in the investigation of functional and molecular basis of various brain diseases. Parametric imaging of the kinetic parameters (voxel-wise representation of the estimated parameters) has several advantages over the conventional approaches using region of interest (ROI). Therefore, several strategies have been suggested to generate the parametric images with a minimal bias and variability in the parameter estimation. In this paper, we will review the several approaches for parametric imaging with linearized methods which include graphical analysis and mulilinear regression analysis.

Keywords

References

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