Comput Math Methods Med - A novel blind separation method in magnetic resonance images.

Tópicos

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Resumo

A novel global search algorithm based method is proposed to separate MR images blindly in this paper. The key point of the method is the formulation of the new matrix which forms a generalized permutation of the original mixing matrix. Since the lowest entropy is closely associated with the smooth degree of source images, blind image separation can be formulated to an entropy minimization problem by using the property that most of neighbor pixels are smooth. A new dataset can be obtained by multiplying the mixed matrix by the inverse of the new matrix. Thus, the search technique is used to searching for the lowest entropy values of the new data. Accordingly, the separation weight vector associated with the lowest entropy values can be obtained. Compared with the conventional independent component analysis (ICA), the original signals in the proposed algorithm are not required to be independent. Simulation results on MR images are employed to further show the advantages of the proposed method.

Resumo Limpo

novel global search algorithm base method propos separ mr imag blind paper key point method formul new matrix form general permut origin mix matrix sinc lowest entropi close associ smooth degre sourc imag blind imag separ can formul entropi minim problem use properti neighbor pixel smooth new dataset can obtain multipli mix matrix invers new matrix thus search techniqu use search lowest entropi valu new data accord separ weight vector associ lowest entropi valu can obtain compar convent independ compon analysi ica origin signal propos algorithm requir independ simul result mr imag employ show advantag propos method

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