Performance analysis for Bayesian microwave imaging in decision aided breast tumor diagnosis

Liewei Sha1, L.W. Nolte1, Zhong Qing Zhang2, Q.H. Liu2
1Dept. of Electrical and Computer Engineering, Duke University, Durham, NC
2Dept. of Electrical and Computer Engineering, Duke University, Durham, NC, USA

Tóm tắt

The Markov random field is used to model the breast permittivity cross section as a propagating medium, and incorporate it into the forward electromagnetic (EM) propagation to predict the random field of the EM measurements at a received array of sensors. Given these EM field measurements, Bayesian approaches are then developed to compute the likelihood ratio for tumor detection and the a posteriori probability display of tumor localization. Quantitative performance evaluations using simulations demonstrate the advantage of using the Bayesian approach to directly process the measurement data as compared to using the Bayesian or threshold approaches to detect and localize the tumor based on the reconstructed permittivity image.

Từ khóa

#Performance analysis #Bayesian methods #Microwave imaging #Breast tumors #Permittivity measurement #Sensor arrays #Electromagnetic propagation #Microwave propagation #Electromagnetic measurements #Neoplasms

Tài liệu tham khảo

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