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A multistage selective weighting method for improved microwave breast tomography
Shahzad, Atif; O'Halloran, Martin; Jones, Edward; Glavin, Martin
Microwave tomography has shown potential to successfully reconstruct the dielectric properties of the human breast, thereby providing an alternative to other imaging modalities used in breast imaging applications. Considering the costly forward solution and complex iterative algorithms, computational complexity becomes a major bottleneck in practical applications of microwave tomography. In addition, the natural tendency of microwave inversion algorithms to reward high contrast breast tissue boundaries, such as the skin-adipose interface, usually leads to a very slow reconstruction of the internal tissue structure of human breast. This paper presents a multistage selective weighting method to improve the reconstruction quality of breast dielectric properties and minimize the computational cost of microwave breast tomography. In the proposed two stage approach, the skin layer is approximated using scaled microwave measurements in the first pass of the inversion algorithm; a numerical skin model is then constructed based on the estimated skin layer and the assumed dielectric properties of the skin tissue. In the second stage of the algorithm, the skin model is used as a priori information to reconstruct the internal tissue structure of the breast using a set of temporal scaling functions. The proposed method is evaluated on anatomically accurate MRI-derived breast phantoms and a comparison with the standard single-stage technique is presented. (C) 2016 The Author(s). Published by Elsevier Ltd. This work is supported by Science Foundation Ireland (grant numbers: 12/IP/1523 and 11/SIRG/I2120), and European Research Council grant H2020-637780. 2017-08-24
Keyword(s): Medical imaging; Microwave tomography; Breast imaging; Electrical and electronic engineering; Inverse scattering technique; Dielectric properties; Cancer detection; Image reconstruction; Biomedical applications; Biological tissues; Prototype; Models; System
Publication Date:
2017
Type: Journal article
Peer-Reviewed: Yes
Language(s): English
Contributor(s): |~|
Institution: NUI Galway
Publisher(s): Elsevier
File Format(s): application/pdf
First Indexed: 2017-08-26 05:22:07 Last Updated: 2017-08-26 05:22:07