中国物理B ›› 2011, Vol. 20 ›› Issue (1): 10702-010702.doi: 10.1088/1674-1056/20/1/010702
唐发宽1, 华宁1, 陆宏1, 唐雪正1, 王倩2, 马平3
Tang Fa-Kuan(唐发宽)a),Wang Qian(王倩)a)b), Hua Ning(华宁)a), Lu Hong(陆宏) a), Tang Xue-Zheng(唐雪正)a),and Ma Ping(马平)b)†
摘要: It is widely accepted that the heart current source can be reduced into a current multipole. By adopting three linear inverse methods, the cardiac magnetic imaging is achieved in this article based on the current multipole model expanded to the first order terms. This magnetic imaging is realized in a reconstruction plane in the centre of human heart, where the current dipole array is employed to represent realistic cardiac current distribution. The current multipole as testing source generates magnetic fields in the measuring plane, serving as inputs of cardiac magnetic inverse problem. In the heart-torso model constructed by boundary element method, the current multipole magnetic field distribution is compared with that in the homogeneous infinite space, and also with the single current dipole magnetic field distribution. Then the minimum-norm least-squares (MNLS) method, the optimal weighted pseudoinverse method (OWPIM), and the optimal constrained linear inverse method (OCLIM) are selected as the algorithms for inverse computation based on current multipole model innovatively, and the imaging effects of these three inverse methods are compared. Besides, two reconstructing parameters, residual and mean residual, are also discussed, and their trends under MNLS, OWPIM and OCLIM each as a function of SNR are obtained and compared.
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