Comput Math Methods Med - Numerical simulations of MREIT conductivity imaging for brain tumor detection.

Tópicos

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Resumo

Magnetic resonance electrical impedance tomography (MREIT) is a new modality capable of imaging the electrical properties of human body using MRI phase information in conjunction with external current injection. Recent in vivo animal and human MREIT studies have revealed unique conductivity contrasts related to different physiological and pathological conditions of tissues or organs. When performing in vivo brain imaging, small imaging currents must be injected so as not to stimulate peripheral nerves in the skin, while delivery of imaging currents to the brain is relatively small due to the skull's low conductivity. As a result, injected imaging currents may induce small phase signals and the overall low phase SNR in brain tissues. In this study, we present numerical simulation results of the use of head MREIT for brain tumor detection. We used a realistic three-dimensional head model to compute signal levels produced as a consequence of a predicted doubling of conductivity occurring within simulated tumorous brain tissues. We determined the feasibility of measuring these changes in a time acceptable to human subjects by adding realistic noise levels measured from a candidate 3 T system. We also reconstructed conductivity contrast images, showing that such conductivity differences can be both detected and imaged.

Resumo Limpo

magnet reson electr imped tomographi mreit new modal capabl imag electr properti human bodi use mri phase inform conjunct extern current inject recent vivo anim human mreit studi reveal uniqu conduct contrast relat differ physiolog patholog condit tissu organ perform vivo brain imag small imag current must inject stimul peripher nerv skin deliveri imag current brain relat small due skull low conduct result inject imag current may induc small phase signal overal low phase snr brain tissu studi present numer simul result use head mreit brain tumor detect use realist threedimension head model comput signal level produc consequ predict doubl conduct occur within simul tumor brain tissu determin feasibl measur chang time accept human subject ad realist nois level measur candid t system also reconstruct conduct contrast imag show conduct differ can detect imag

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