Title :
A new Image Reconstruction Algorithm for Magnetic Resonance Electrical Impedance Tomography Using one Component of Measured Magnetic Field
Author :
Huixian, Wang ; Yuyu, Wang ; Tao, Song ; Yongbo, He
Author_Institution :
Inst. of Electr. Eng., Chinese Acad. of Sci., Beijing
Abstract :
In this paper, a new conductivity images reconstruction algorithm for magnetic resonance electrical impedance tomography (MR-EIT) is proposed. The algorithm doesn´t need to rotate mechanically the imaged object and can image the conductivity distribution of object at oblique slice. The proposed reconstruction algorithm in this paper is more applicable than other MR-EIT reconstruction algorithms using one component of magnetic flux density. It is not necessary that the main magnetic field is perpendicular to the imaging slice, and so can be used for permanent MRI scanners as well as superconductive MRI scanners
Keywords :
biomedical MRI; electric impedance imaging; image reconstruction; medical image processing; conductivity distribution; image reconstruction; magnetic field; magnetic flux density; magnetic resonance electrical impedance tomography; superconductive MRI scanners; Conductivity; Electric variables measurement; Image reconstruction; Impedance measurement; Magnetic field measurement; Magnetic flux density; Magnetic resonance; Magnetic resonance imaging; Reconstruction algorithms; Tomography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1616729