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An image reconstruction algorithm for 3D electrical impedance mammography
journal contribution
posted on 2023-06-08, 18:49 authored by Xiaolin Zhang, Wei Wang, Gerald Sze, David Barber, Chris ChatwinChris ChatwinThe 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.
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Publication status
- Published
File Version
- Published version
Journal
IEEE Transactions on Medical ImagingISSN
0278-0062Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
12Volume
33Page range
2223-2241Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2014-10-30First Compliant Deposit (FCD) Date
2021-03-03Usage metrics
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