CAJ | 학술논문

目的探讨基于数学形态学的功能磁共振信号漂移校正新方法.方法根据fMRI信号漂移成分的形态特征,采用基于数学形态学的方法校正fMRI信号的基线漂移.结果应用模拟数据和真实数据测试表明,数学形态学方法能够有效地校正fMRI信号的基线漂移.结论本研究提出的方法能够同时校正线性和非线性漂移,而不需要任何统计学模型假设.
목적 탐토기우수학형태학적공능자공진신호표이교정신방법.방법 근거fMRI신호표이성분적형태특정,채용기우수학형태학적방법교정fMRI신호적기선표이.결과 응용모의수거화진실수거측시표명,수학형태학방법능구유효지교정fMRI신호적기선표이.결론 본연구제출적방법능구동시교정선성화비선성표이,이불수요임하통계학모형가설.
Objective To establish a new approach based on mathematical morphology that can effectively reduce the drifts in functional magnetic resonance imaging (fMRI) signals. Methods Based on investigation of the characteristic of drifted fMRI signals, a mathematical morphology method for baseline drift correction was presented. Results With both simulated data and real fMRI data, the results of the experiment showed that the mathematical morphology method can effectively correct the baseline drifts. Conclusion Both linear and nonlinear drifts can be removed with the proposed method without any statistical model assumption.