Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Development of Image Post-processing System for the Cerebral Perfusion Information Mapping of MR Image

MR영상의 뇌관류 정보 Mapping을 위한 영상후처리 시스템개발

  • 이상민 (남해전문대학 전자통신과) ;
  • 강경훈 (경상대학교 전자공학과 생산기술연구소) ;
  • 장두봉 (남해전문대학 전자통신과) ;
  • 김광열 (마산대학 자동차과) ;
  • 김영일 (경상대학교 전자공학과 생산기술연구소) ;
  • 신태민 (경상대학교 전자공학과 생산기술연구소)
  • Published : 2000.03.01
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Abstract

This paper works on development of an algorithm for mapping of cerebral perfusion parameters using the gamma-variate curve fitting. The signal intensity variate curve according to time measured in each pixel of perfusion MRI is nonlinear, and various hemodynamic parameters are not computed accurately. Levenberg-Marquardt algorithm(LMA), nonlinear optimum algorithm with high convergent speed and stability, is used to compute them. That is, the signal intensity variate curve is fitted by the gamma-variate function. Various hemodynamic parameters - Cerebral Blood Volume(C.B.V), Mean Transit Time(M.T.T), Cerebral Blood Flow(C.B.F), Time-to-Peak(T.T.P), Bolus Arrival Time(B.A.T), Maximum Slope(M.S) - are computed using LMA.

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