Effect of lesion morphology on microwave signature in 2-D ultra-wideband breast imaging
Chen, Yifan, Gunawan, Erry, Low, Kay Soon, Wang, Shih-Chang, Soh, Cheong Boon and Putti, Thomas Choudary (2008) Effect of lesion morphology on microwave signature in 2-D ultra-wideband breast imaging. IEEE Transactions on Biomedical Engineering, 55 (8). pp. 2011-2021. ISSN 0018-9294
Full text not available from this repository.Abstract
This paper studies the possibility of distinguishing between benign and malignant masses by exploiting the morphology-dependent temporal and spectral characteristics of their microwave backscatter response in ultra-wideband breast cancer detection. The spiculated border profiles of 2-D breast masses are generated by modifying the baseline elliptical rings based upon the irregularity of their peripheries. Furthermore, the single- and multilayer lesion models are used to characterize a distinct mass region followed by a sharp transition to background, and a blurred mass border exhibiting a gradual transition to background, respectively. Subsequently, the complex natural resonances (CNRs) of the backscatter microwave signature can be derived from the late-time target response and reveal diagnostically useful information. The fractional sequence CLEAN algorithm is proposed to estimate the lesions' delay intervals and identify the late-time responses. Finally, it is shown through numerical examples that the locations of dominant CNRs are dependent on the lesion morphologies, where 2-D computational breast phantoms with single and multiple lesions are investigated. The analysis is of potential use for discrimination between benign and malignant lesions, where the former usually possesses a better-defined, more compact shape as opposed to the latter.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | cancer detection, dielectric-properties, tissues, time, tumors, shape, resonances, scattering, algorithm |
| Subjects: | T Technology > T Technology (General) R Medicine > R Medicine (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering R Medicine > RC Internal medicine |
| School / Department / Research Groups: | School of Engineering > Department of Computer & Communications Engineering School of Engineering |
| Related URLs: | |
| Last Modified: | 31 Mar 2011 18:21 |
| URI: | http://gala.gre.ac.uk/id/eprint/2640 |
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