摘要
为了对人体头部组织各向异性电导率分布进行成像,借助扩散张量核磁共振成像(DT-MRI)技术,提出一种新的感应电流磁共振电阻抗成像(IC-MREIT)算法.采用IC-MREIT J-substitution算法,重构头皮、颅骨、脑脊液、灰质组织的各向同性电导率及白质组织的等效各向同性电导率分布,以该等效各向同性电导率分布作为初始信息,迭代重构脑白质各向异性电导率分布.基于磁共振成像(MRI)数据,构建包含5种组织的真实头模型,在该模型上对重构算法的可行性进行验证.在无噪声及15%的噪声水平下,重构电导率的相对误差分别小于15%和24%.仿真结果表明,该算法具有较高的抗噪声能力和成像精度.
A novel induced current magnetic resonance electrical impedance tomography（IC-MREIT） algorithm was developed with the diffusion tensor magnetic resonance imaging（DT-MRI） technique in order to image the anisotropic conductivity distribution of brain tissues.The isotropic conductivity distribution of scalp,skull,cerebrospinal fluid,gray matter and the equivalent isotropic conductivity distribution of white matter were reconstructed by IC-MREIT J-substitution algorithm.The equivalent isotropic conductivity distribution was used as the initial information in order to iteratively reconstruct anisotropic conductivity distribution of the white matter.A realistic head model consisting of five compartments was constructed based on the magnetic resonance imaging（MRI） data,and the model was used to examine the feasibility of the algorithm.With the 0% and 15% noise levels,the relative errors between the target and the reconstructed conductivity distribution were less than 15% and 24%,respectively.The simulation results show that the algorithm is robust to measurement noise and has high accuracy.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2011年第1期168-172,共5页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目(5057705)
美国国家科学基金资助项目(NSFBES-0602957)
美国国立卫生院基金资助项目(NIHR21006070
R01EB007920)
关键词
磁共振成像(MRI)
电阻抗成像
头部组织
各向异性
magnetic resonance imaging（MRI）
electrical impedance tomography
brain tissue
anisotropy
