An image reconstruction algorithm for 3D electrical impedance mammography

Zhang, Xiaolin, Wang, Wei, Sze, Gerald, Barber, David and Chatwin, Chris (2014) An image reconstruction algorithm for 3D electrical impedance mammography. IEEE Transactions on Medical Imaging, 33 (12). pp. 2223-2241. ISSN 0278-0062

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Abstract

The Sussex MK4 electrical impedance mammography (EIM) system is especially designed for 3D breast screening. It aims to diagnose breast cancer at an early stage when it is most treatable. Planar electrodes are employed in this system. The challenge with planar electrodes is the inaccuracy and poor sensitivity in the vertical direction for 3D imaging. An enhanced image reconstruction algorithm using a duo-mesh method is proposed to improve the vertical accuracy and sensitivity. The novel part of the enhanced image reconstruction algorithm is the correction term. To evaluate the new algorithm, an image processing based error analysis method is presented, which not only can precisely assess the error of the reconstructed image but also locate the center and outline the shape of the object of interests. Although the enhanced image reconstruction algorithm and the image processing based error analysis method are designed for the Sussex MK4 system, they are applicable to all electrical impedance tomography (EIT) systems, regardless of the hardware design. To validate the enhanced algorithm, performance results from simulations, phantoms and patients are presented.

Item Type: Article
Keywords: Breast cancer screening, electrical impedance mammography (EIM), electrical impedance tomography (EIT), error analysis, finite element method (FEM), image processing, inverse problem.
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: Q Science > QM Human anatomy > QM0550 Human and comparative histology
R Medicine
R Medicine > R Medicine (General) > R856 Biomedical engineering. Electronics. Instrumentation
T Technology
T Technology > T Technology (General) > T0175 Industrial research. Research and development
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0452 Electric apparatus and materials. Electric circuits. Electric networks
Depositing User: Chris Chatwin
Date Deposited: 30 Oct 2014 15:16
Last Modified: 08 Mar 2017 04:46
URI: http://sro.sussex.ac.uk/id/eprint/50751

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