DocumentCode :
127316
Title :
Measurement uncertainties in differential radar applied to breast imaging
Author :
Porter, Emily ; Santorelli, Adam ; Popovic, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
fYear :
2014
fDate :
18-20 Feb. 2014
Firstpage :
6
Lastpage :
10
Abstract :
In this work, we evaluate the measurement uncertainty and its consequences on a time-domain microwave breast imaging system. Our radar system contains a 16-element multistatic sensor array, and is used to generate microwave images of the breast using a differential method. We examine, for the first time with such a system, uncertainty due to sources of horizontal and vertical noise individually and together to determine their impact on image quality and tumor detection. It is found that for a time-domain radar system using differential imaging, horizontal noise is significantly more detrimental than vertical noise, and must be compensated for in order to have successful imaging of breast tumors. We show an example of a reconstructed breast image before and after compensation for both types of noise and highlight the necessity of such compensation.
Keywords :
biological organs; image reconstruction; measurement uncertainty; medical image processing; sensor arrays; tumours; 16-element multistatic sensor array; breast image reconstruction; breast tumors; differential radar system; horizontal noise compensation; image quality; measurement uncertainty; time-domain microwave breast imaging; time-domain radar system; tumor detection; vertical noise compensation; Breast; Microwave imaging; Microwave theory and techniques; Noise; Radar imaging; Tumors; biomedical imaging; cancer detection; microwave imaging; multistatic radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2014 IEEE
Conference_Location :
Queenstown
Print_ISBN :
978-1-4799-2180-5
Type :
conf
DOI :
10.1109/SAS.2014.6798906
Filename :
6798906
Link To Document :
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