title: Magnetoacoustic tomography with magnetic induction (MAT-MI) for breast tumor imaging: numerical modeling and simulation.
abstract: Magnetoacoustic tomography with magnetic induction (MAT-MI) was recently introduced as a noninvasive electrical conductivity imaging approach with high spatial resolution close to ultrasound imaging. In this study, we test the feasibility of the MAT-MI method for breast tumor imaging using numerical modeling and computer simulation. Using the finite element method, we have built three-dimensional numerical breast models with varieties of embedded tumors for this simulation study. In order to obtain an accurate and stable forward solution that does not have numerical errors caused by singular MAT-MI acoustic sources at conductivity boundaries, we first derive an integral forward method for calculating MAT-MI acoustic sources over the entire imaging volume. An inverse algorithm for reconstructing the MAT-MI acoustic source is also derived with spherical measurement aperture, which simulates a practical setup for breast imaging. With the numerical breast models, we have conducted computer simulations under different imaging parameter setups and all the results suggest that breast tumors that have large conductivity in contrast to the surrounding tissue as reported in the literature may be readily detected in the reconstructed MAT-MI images. In addition, our simulations also suggest that the sensitivity of imaging breast tumors using the presented MAT-MI setup depends more on the tumor location and the conductivity contrast between the tumor and its surrounding tissue than on the tumor size.
authors.affiliation: College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, People's Republic of China.
authors.forename: Lian
authors.initials: L
authors.lastname: Zhou
authors.forename: Xu
authors.initials: X
authors.lastname: Li
authors.forename: Shanan
authors.initials: S
authors.lastname: Zhu
authors.forename: Bin
authors.initials: B
authors.lastname: He
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D005240:Feasibility Studies; D020342:Finite Element Analysis; D008280:Magnetics; D008954:Models, Biological; D014054:Tomography / Q000379:methods*; D014465:Ultrasonics; D014463:Ultrasonography