Literature DB >> 19258193

Quasi-multistatic MIST beamforming for the early detection of breast cancer.

Martin O'Halloran1, Edward Jones, Martin Glavin.   

Abstract

Microwave imaging via space-time (MIST) beamforming has been shown to be one of the most promising imaging modalities for detecting small malignant breast tumors. This paper outlines two modifications to the MIST system developed by Hagness for the early detection of breast cancer, resulting in a quasi-multistatic MIST beamformer (multi-MIST). Multistatic MIST beamforming involves illuminating the breast with an ultrawideband (UWB) signal from one antenna while collecting the reflections at an array of antennas, as opposed to traditional monostatic MIST beamforming where only the transmitting antenna records the reflections from the breast. In order to process the multistatic data, traditional data-adaptive artifact removal algorithms have to be modified to accommodate signals from all antennas. Also, the MIST beamforming algorithm, which spatially focuses the signal and compensates for frequency-dependent propagation effects, has to be modified. The algorithms are tested on a 2-D anatomically accurate finite-difference time-domain model of the breast. The multi-MIST beamformer described here is shown to offer an improved signal to clutter ratio when compared to the traditional monostatic MIST beamformer.

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Year:  2009        PMID: 19258193     DOI: 10.1109/TBME.2009.2016392

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  PCA-based artifact removal algorithm for stroke detection using UWB radar imaging.

Authors:  Elisa Ricci; Simone di Domenico; Ernestina Cianca; Tommaso Rossi; Marina Diomedi
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

2.  Microwave breast cancer detection using time-frequency representations.

Authors:  Hongchao Song; Yunpeng Li; Aidong Men
Journal:  Med Biol Eng Comput       Date:  2017-08-24       Impact factor: 2.602

Review 3.  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

Review 4.  Recent Advances in Microwave Imaging for Breast Cancer Detection.

Authors:  Sollip Kwon; Seungjun Lee
Journal:  Int J Biomed Imaging       Date:  2016-12-21

5.  Parameter Search Algorithms for Microwave Radar-Based Breast Imaging: Focal Quality Metrics as Fitness Functions.

Authors:  Declan O'Loughlin; Bárbara L Oliveira; Muhammad Adnan Elahi; Martin Glavin; Edward Jones; Milica Popović; Martin O'Halloran
Journal:  Sensors (Basel)       Date:  2017-12-06       Impact factor: 3.576

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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