한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)
- 제4권1호
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- Pages.131-138
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- 2000
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- 2234-4772(pISSN)
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- 2288-4165(eISSN)
MR영상의 뇌관류 정보 Mapping을 위한 영상후처리 시스템개발
Development of Image Post-processing System for the Cerebral Perfusion Information Mapping of MR Image
초록
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.
키워드