DocumentCode
76314
Title
An Image Reconstruction Algorithm for 3-D Electrical Impedance Mammography
Author
Xiaolin Zhang ; Wei Wang ; Sze, Gerald ; Barber, David ; Chatwin, Chris
Author_Institution
Dept. of Eng., Univ. of Sussex, Brighton, UK
Volume
33
Issue
12
fYear
2014
fDate
Dec. 2014
Firstpage
2223
Lastpage
2241
Abstract
The Sussex MK4 electrical impedance mammography system is especially designed for 3-D 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 3-D 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 center and outline the shape of the objects of interest. 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 systems, regardless of the hardware design. To validate the enhanced algorithm, performance results from simulations, phantoms and patients are presented.
Keywords
biological tissues; biomedical electrodes; cancer; data acquisition; edge detection; electric impedance imaging; error analysis; image enhancement; image reconstruction; mammography; medical image processing; mesh generation; phantoms; tomography; 3D breast screening; 3D electrical impedance mammography; 3D imaging; Sussex MK4 electrical impedance mammography system; correction term; duo-mesh method; early stage breast cancer diagnosis; electrical impedance tomography system; enhanced image reconstruction algorithm; hardware design; image processing based error analysis; mammography system design; object center outlining; object shape outlining; phantom; planar electrode vertical accuracy; planar electrode vertical sensitivity; reconstructed image error assessment; simulation; Area measurement; Conductivity; Current measurement; Electrodes; Image reconstruction; Impedance; Voltage measurement; Breast cancer screening; electrical impedance mammography (EIM); electrical impedance tomography (EIT); error analysis; finite element method (FEM); image processing; inverse problem;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2014.2334475
Filename
6847141
Link To Document