DocumentCode
470751
Title
Realistic Breast Models for Second Generation Tissue Sensing Adaptive Radar System
Author
Sill, J.M. ; Williams, T.C. ; Fear, Elise C. ; Frayne, Richard ; Okoniewski, Michal
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB
fYear
2007
fDate
11-16 Nov. 2007
Firstpage
1
Lastpage
4
Abstract
Radar-based breast cancer detection methods require rigorous testing before clinical application. Therefore, realistic breast models in terms of shape, size and electrical properties are needed. Magnetic resonance images are typically segmented to create these realistic breast models. This paper introduces five breast models of increasing complexity. Tumour reflections from each model are focussed with the TSAR algorithm, and detection results are calculated for each model.
Keywords
adaptive radar; biological organs; biomedical MRI; cancer; image segmentation; mammography; medical image processing; physiological models; radar imaging; tumours; TSAR algorithm; magnetic resonance image segmention; radar-based breast cancer detection method; realistic breast model; second generation tissue sensing adaptive radar system; tumour reflection; Breast Cancer Detection; MR segmentation; Tissue Sensing Adaptive Radar;
fLanguage
English
Publisher
iet
Conference_Titel
Antennas and Propagation, 2007. EuCAP 2007. The Second European Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-86341-842-6
Type
conf
Filename
4458433
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