title: Detection of temperature distribution via recovering electrical conductivity in MREIT.
abstract: In radiofrequency (RF) ablation or hyperthermia, internal temperature measurements and tissue property imaging are important to control their outputs and assess the treatment effect. Recently, magnetic resonance electrical impedance tomography (MREIT), as a non-invasive imaging method of internal conductivity distribution using an MR scanner, has been developed. Its reconstruction algorithm uses measured magnetic flux density induced by injected currents. The MREIT technique has the potential to visualize electrical conductivity of tissue with high spatial resolution and measure relative conductivity variation according to the internal temperature change based on the fact that the electrical conductivity of biological tissues is sensitive to the internal temperature distribution. In this paper, we propose a method to provide a non-invasive alternative to monitor the internal temperature distribution by recovering the electrical conductivity distribution using the MREIT technique. To validate the proposed method, we design a phantom with saline solution and a thin transparency film in a form of a hollow cylinder with holes to create anomalies with different electrical and thermal conductivities controlled by morphological structure. We first prove the temperature maps with respect to spatial and time resolution by solving the thermal conductivity partial differential equation with the real phantom experimental environment. The measured magnetic flux density and the reconstructed conductivity distributions using the phantom experiments were compared to the simulated temperature distribution. The relative temperature variation of two testing objects with respect to the background saline was determined by the relative conductivity contrast ratio (rCCR,%). The relation between the temperature and conductivity measurements using MREIT was approximately linear with better accuracy than 0.22 °C.
authors.affiliation: Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University, Yongin, Korea.
authors.forename: Tong In
authors.initials: TI
authors.lastname: Oh
authors.forename: Hyung Joong
authors.initials: HJ
authors.lastname: Kim
authors.forename: Woo Chul
authors.initials: WC
authors.lastname: Jeong
authors.forename: Munish
authors.initials: M
authors.lastname: Chauhan
authors.forename: Oh In
authors.initials: OI
authors.lastname: Kwon
authors.forename: Eung Je
authors.initials: EJ
authors.lastname: Woo
mesh_terms: D000465:Algorithms; D004553:Electric Conductivity; D017097:Electric Impedance; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D013696:Temperature