A Singular Value Decomposition approach for Microwave holography imaging of the breast: A feasibility study
| Autor: | Mario Solis Nepote, Stephen Pistorius, Daniel Flores Tapia, Raffaele Solimene, Diego Rodriguez Herrera |
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| Přispěvatelé: | D. F. Tapia, M. S. Nepote, D. R. Herrera, S. Pistorius, R. Solimene, Tapia, Daniel Flore, Nepote, Mario Soli, Herrera, Diego Rodriguez, Pistorius, Stephen, Solimene, Raffaele |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Radiation Breast imaging Microwave holography business.industry Quantitative Biology::Tissues and Organs Physics::Medical Physics Phase (waves) Ultra-wideband 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction 030218 nuclear medicine & medical imaging 03 medical and health sciences Computer Networks and Communication 0302 clinical medicine Microwave imaging Radar imaging Singular value decomposition 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence skin and connective tissue diseases business Instrumentation |
| Zdroj: | 2016 10th European Conference on Antennas and Propagation (EuCAP). |
| DOI: | 10.1109/eucap.2016.7481716 |
| Popis: | In the last two decades, Microwave radar has been proposed as a complimentary technology for breast imaging. Microwave radar images illuminates the breast using an ultra wide band waveforms to form a map of the scatter caused by breast structures in which malignant lesions can potentially be detected. A common problem in Breast Microwave Radar (BMR) is the extraction of the breast structures in experimental datasets. This paper proposes presents some recent results on the use of Singular Value Decomposition for extracting the responses from breast structures on experimental datasets collected anthropomorphic phantoms. The results show that SVD can be used to extract the magnitude and phase information from experimental datasets, and be used to form accurate BMR images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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