Please wait a minute...
Chin. Phys. B, 2011, Vol. 20(1): 010702    DOI: 10.1088/1674-1056/20/1/010702
GENERAL Prev   Next  

Cardiac magnetic source imaging based on current multipole model

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)
a Department of Cardiology, The 309th Hospital of PLA, Beijing 100091, China; b Department of Physics, State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Peking University, Beijing 100871, China
Abstract  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.
Keywords:  cardiac magnetic imaging      current multipole      heart-torso model      inverse method  
Received:  23 May 2010      Revised:  04 August 2010      Accepted manuscript online: 
PACS:  07.05Tp  
  87.80.-y (Biophysical techniques (research methods))  
  87.85.-d (Biomedical engineering)  
Fund: Project supported by the State Key Development Program for Basic Research of China (Grant No. 2006CB601007), the National Natural Science Foundation of China (Grant No. 10674006), and the National High Technology Research and Development Program of China (Grant No. 2007AA03Z238).

Cite this article: 

Tang Fa-Kuan(唐发宽), Wang Qian(王倩), Hua Ning(华宁), Lu Hong(陆宏), Tang Xue-Zheng(唐雪正), and Ma Ping(马平) Cardiac magnetic source imaging based on current multipole model 2011 Chin. Phys. B 20 010702

[1] Ma P, Yao K, Xie F X, Zhang S Y, Deng P, He D F, Zhang F, Liu L Y, Nie R J, Wang F R, Wang S Z and Dai Y D 2002 Acta Phys. Sin. 51 224 (in Chinese)
[2] Ma P, Yao K and Xie F X 2005 Chin. Phys. Sci. 51 224 (in Chinese)
[3] Gao J, Yang T, Ma P and Dai Y D 2010 Chin. Phys. B 19 067402
[4] Wang J Z, Williamson S J and Kaufaman L 1992 IEEE Trans. Biomed. Eng. 39 665
[5] Wang J Z 1993 IEEE Trans. Biomed. Eng. 40 387
[6] Garbor D and Nelson C V 1954 J. Appl. Phys. 25 413
[7] Hamalainen M, Hari R, Illmoniemi R J, Knuutila J and Lounasmaa O V 1993 Rev. Mod. Phys. 65 413
[8] Gonnelli R S and Agnello M 1987 Phys. Med. Biol. 32 133
[9] Jerbi K, Mosher J C, Baillet S and Leahy R M 2002 Phys. Med. Biol. 47 523
[10] Shepp L A and Vardi Y 1982 IEEE Trans. Med. Imaging bf MI-1 113
[11] Shim Y S and Cho Z H 1981 IEEE Trans. Acoust. Speech Signal Process. 29 904
[12] Smith W E, Dallas W J, Kullmann W H and Schlitt H A 1990 it Appl. Opt. 29 658
[13] Hughett P 1995 Annals Biomed. Eng. 23 506
[14] Morrison D F 1967 Multivariate Statistical Method (New York: McGrawHill) p58
[15] Geselowitz D B 1970 IEEE Trans. Magn. MAG-6 346
[16] Koch H and Haberkorn W 2001 Phil. Trans. R. Soc. Lond. A 359 1287
[17] Barr R C, Ramsey M and Spach M S 1977 IEEE Trans. Biomed. Eng. BEM-24 1
[18] Hamalainen M S and Ilmoniemi R J 1994 Med. Biol. Eng. Comput. 32 35
[19] Nenonen J T, Hamalainen M S and Ilmoniemi R J 1994 Med. Biol. Eng. Comput. 32 43
[20] Jeffs B, Leahy R and Singh M 1987 IEEE Trans. Biomed. Eng. 34 713
[21] Osama A M and Fuat G U 1993 IEEE Trans. Magnet. 29 1403
[1] Model predictive inverse method for recovering boundary conditions of two-dimensional ablation
Guang-Jun Wang(王广军), Ze-Hong Chen(陈泽弘), Guang-Xiang Zhang(章广祥), and Hong Chen(陈红). Chin. Phys. B, 2021, 30(3): 030203.
[2] Inverse problem of quadratic time-dependent Hamiltonians
Guo Guang-Jie (郭光杰), Meng Yan (孟艳), Chang Hong (常虹), Duan Hui-Zeng (段会增), Di Bing (邸冰). Chin. Phys. B, 2015, 24(8): 080301.
[3] Variational principles for two kinds of extended Korteweg–de Vries equations
Cao Xiao-Qun(曹小群), Song Jun-Qiang(宋君强), Zhang Wei-Min(张卫民), and Zhao Jun(赵军) . Chin. Phys. B, 2011, 20(9): 090401.
[4] The forward and inverse problem of cardiac magnetic fields based on concentric ellipsoid torso-heart model
Wang Qian(王倩), Hua Ning(华宁), Tang Xue-Zheng(唐雪正), Lu Hong(陆宏), Ma Ping(马平), and Tang Fa-Kuan(唐发宽). Chin. Phys. B, 2010, 19(8): 080601.
[5] Forward and inverse problem for cardiac magnetic field and electric potential using two boundary element methods
Tang Fa-Kuan(唐发宽), Wang Qian(王倩), Hua Ning(华宁), Tang Xue-Zheng(唐雪正), Lu Hong(陆宏), and Ma Ping(马平). Chin. Phys. B, 2010, 19(12): 120601.
No Suggested Reading articles found!