A Matlab Toolbox for Magnetic Resonance Electrical Impedance Tomography (MREIT): MREIT Toolbox
نویسندگان
چکیده
Magnetic Resonance Electrical Impedance Tomography (MREIT) is a relatively new imaging technique that allows tomographic imaging of electrical conductivity of biologically conductive objects. In this paper, we present software that has been implemented to accompany MREIT. The software offers various computational tools from preprocessing of MREIT data to reconstruction of crosssectional conductivity and current density images of an object from MREIT data. The software named as MREIT Toolbox runs under the commercially available technical computation software called Matlab. The major routines in the toolbox include magnetic flux density computation, denoising of flux density maps, recovery of lost density signal, geometrical modeling tools, conductivity reconstruction, and current density reconstruction. The presented tools should be useful to researchers in the field of MREIT for studies of simulation, validation, and further technical development. The toolbox is available upon request made to the Impedance Imaging Research Center in Korea. Keywords—MREIT Toolbox, MREIT, Conductivity Image
منابع مشابه
Detection of Human Conductivity Distribution using One Component of Magnetic Flux Density
We have developed a new algorithm, RBF-MREIT, for Magnetic Resonance Electrical Impedance Tomography (MREIT) by applying the radial basis function (RBF) network and Simplex method. RBF-MREIT uses only one component of the measured magnetic flux density to reconstruct the conductivity images, and provides a solution to the rotation problem in MREIT. The proposed algorithm is tested on a three-sp...
متن کاملMagnetic resonance electrical impedance tomography (MREIT): conductivity and current density imaging
This paper reviews the latest impedance imaging technique called Magnetic Resonance Electrical Impedance Tomography (MREIT) providing information on electrical conductivity and current density distributions inside an electrically conducting domain such as the human body. The motivation for this research is explained by discussing conductivity changes related with physiological and pathological ...
متن کاملElectrical conductivity imaging by magnetic resonance electrical impedance tomography (MREIT).
Magnetic resonance electrical impedance tomography (MREIT) is a recently developed imaging technique that combines MRI and electrical impedance tomography (EIT). In MREIT, cross-sectional electrical conductivity images are reconstructed from the internal magnetic field density data produced inside an electrically conducting subject when an electrical current is injected into the subject. In thi...
متن کاملUniqueness and Convergence of Conductivity Image Reconstruction in Magnetic Resonance Electrical Impedance Tomography (MREIT)
Magnetic Resonance Electrical Impedance Tomography (MREIT) is a new medical imaging modality providing high resolution conductivity images based on the current injection MRI technique. In contrast to Electrical Impedance Tomography (EIT), the MREIT system utilizes the internal information of current density distribution which plays an important role in eliminating the ill-posedness of the inver...
متن کاملMagnetic resonance electrical impedance tomography at 3 Tesla field strength.
Magnetic resonance electrical impedance tomography (MREIT) is a recently developed imaging technique that combines MRI and electrical impedance tomography (EIT). In MREIT, cross-sectional electrical conductivity images are reconstructed from the internal magnetic field density data produced inside an electrically conducting object when an electrical current is injected into the object. In this ...
متن کامل