Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection

The conventional Delay and Sum (DAS) is the simplest and most commonly used method to obtain a microwave imaging. Recently proposed CAPON algorithms stated that it provide a better resolution and much better interference rejection capability than DAS. There are a few CAPON methods being proposed for...

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Main Author: Chung, Jun Yien.
Other Authors: Erry Gunawan
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/18970
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-189702023-07-07T15:47:28Z Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection Chung, Jun Yien. Erry Gunawan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The conventional Delay and Sum (DAS) is the simplest and most commonly used method to obtain a microwave imaging. Recently proposed CAPON algorithms stated that it provide a better resolution and much better interference rejection capability than DAS. There are a few CAPON methods being proposed for Microwave Imaging which claims to be an improvement over another. Among these that we have chose to discuss later is Standard Capon Beamforming (SCB), weighted Capon Beamforming (WCB), Robust Capon Beamforming (RCB) and Robust Weighted Capon Beamforming(RWCB). In this context, we will investigate the implementation of several CAPON methods on breast tissue phantom for breast tumor detection. We will also compare it with DAS and discuss the result of these different methods. Bachelor of Engineering 2009-08-26T02:06:59Z 2009-08-26T02:06:59Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18970 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Chung, Jun Yien.
Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
description The conventional Delay and Sum (DAS) is the simplest and most commonly used method to obtain a microwave imaging. Recently proposed CAPON algorithms stated that it provide a better resolution and much better interference rejection capability than DAS. There are a few CAPON methods being proposed for Microwave Imaging which claims to be an improvement over another. Among these that we have chose to discuss later is Standard Capon Beamforming (SCB), weighted Capon Beamforming (WCB), Robust Capon Beamforming (RCB) and Robust Weighted Capon Beamforming(RWCB). In this context, we will investigate the implementation of several CAPON methods on breast tissue phantom for breast tumor detection. We will also compare it with DAS and discuss the result of these different methods.
author2 Erry Gunawan
author_facet Erry Gunawan
Chung, Jun Yien.
format Final Year Project
author Chung, Jun Yien.
author_sort Chung, Jun Yien.
title Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
title_short Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
title_full Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
title_fullStr Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
title_full_unstemmed Microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
title_sort microwave imaging via implementation of capon beamforming algorithm for breast cancer detection
publishDate 2009
url http://hdl.handle.net/10356/18970
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