Literature DB >> 15649090

Microwave imaging of the breast.

Elise C Fear1.   

Abstract

Microwave imaging for medical applications has been of interest for many years. Recently, microwave imaging for breast cancer detection has gained attention due to advances in imaging algorithms, microwave hardware and computational power. The breast is relatively translucent to microwaves, accessible for imaging, and there appears to be a significant electromagnetic property contrast between tumors and healthy tissues. Therefore, breast imaging may be the first clinically viable application of microwave imaging. This paper reviews recent developments in passive, hybrid, and active approaches to microwave breast cancer detection.

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Year:  2005        PMID: 15649090     DOI: 10.1177/153303460500400110

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  6 in total

Review 1.  Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions.

Authors:  Nour AlSawaftah; Salma El-Abed; Salam Dhou; Amer Zakaria
Journal:  J Imaging       Date:  2022-04-23

2.  Three-dimensional microwave breast imaging: dispersive dielectric properties estimation using patient-specific basis functions.

Authors:  David W Winters; Jacob D Shea; Panagiotis Kosmas; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

3.  Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast.

Authors:  Earl Zastrow; Shakti K Davis; Mariya Lazebnik; Frederick Kelcz; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

4.  Efficacy and safety of breast radiothermometry in the differential diagnosis of breast lesions.

Authors:  Sahnaz Caferova; Fatma Uysal; Pınar Balcı; Serdar Saydam; Tülay Canda
Journal:  Contemp Oncol (Pozn)       Date:  2014-05-20

5.  Deep learning-based reconstruction of in vivo pelvis conductivity with a 3D patch-based convolutional neural network trained on simulated MR data.

Authors:  Soraya Gavazzi; Cornelis A T van den Berg; Mark H F Savenije; H Petra Kok; Peter de Boer; Lukas J A Stalpers; Jan J W Lagendijk; Hans Crezee; Astrid L H M W van Lier
Journal:  Magn Reson Med       Date:  2020-04-21       Impact factor: 4.668

Review 6.  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

  6 in total

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