Literature DB >> 19964043

A comparison of data-independent microwave beamforming algorithms for the early detection of breast cancer.

Dallan Byrne1, Martin O'Halloran, Edward Jones, Martin Glavin.   

Abstract

Ultrawideband (UWB) radar is one of the most promising alternatives to X-ray mammography as an imaging modality for the early detection of breast cancer. Several beamforming algorithms have been developed which exploit the dielectric contrast between normal and cancerous tissue at microwave frequencies in order to detect tumors. Dielectric heterogeneity within the breast greatly effects the ability of a beamformer to detect very small tumors, therefore the design of an effective beamformer for this application represents a significant challenge. This paper analyzes and compares 3 data-independent beamforming algorithms, testing each system on an anatomically correct, MRI derived breast model which incorporates recently-published data on dielectric properties.

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Year:  2009        PMID: 19964043     DOI: 10.1109/IEMBS.2009.5333344

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection.

Authors:  Manisha Bhende; Anuradha Thakare; Bhasker Pant; Piyush Singhal; Swati Shinde; V Saravanan
Journal:  Biomed Res Int       Date:  2022-06-28       Impact factor: 3.246

2.  Evaluation of Image Reconstruction Algorithms for Confocal Microwave Imaging: Application to Patient Data.

Authors:  Muhammad Adnan Elahi; Declan O'Loughlin; Benjamin R Lavoie; Martin Glavin; Edward Jones; Elise C Fear; Martin O'Halloran
Journal:  Sensors (Basel)       Date:  2018-05-23       Impact factor: 3.576

Review 3.  Review of Microwaves Techniques for Breast Cancer Detection.

Authors:  Maged A Aldhaeebi; Khawla Alzoubi; Thamer S Almoneef; Saeed M Bamatraf; Hussein Attia; Omar M Ramahi
Journal:  Sensors (Basel)       Date:  2020-04-22       Impact factor: 3.576

  3 in total

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