Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Benjamin R. Lavoie"'
Autor:
Declan O’Loughlin, Muhammad Adnan Elahi, Benjamin R. Lavoie, Elise C. Fear, Martin O’Halloran
Publikováno v:
Sensors, Vol 21, Iss 23, p 8048 (2021)
Microwave breast imaging has seen increasing use in clinical investigations in the past decade with over eight systems having being trialled with patients. The majority of systems use radar-based algorithms to reconstruct the image shown to the clini
Externí odkaz:
https://doaj.org/article/d83a4870c04046ac8bf56108d18ec601
Autor:
Muhammad Adnan Elahi, Declan O’Loughlin, Benjamin R. Lavoie, Martin Glavin, Edward Jones, Elise C. Fear, Martin O’Halloran
Publikováno v:
Sensors, Vol 18, Iss 6, p 1678 (2018)
Confocal Microwave Imaging (CMI) for the early detection of breast cancer has been under development for over two decades and is currently going through early-phase clinical evaluation. The image reconstruction algorithm is a key signal processing co
Externí odkaz:
https://doaj.org/article/639e794ddc0f4b8ba9149ba0081eb5f9
Publikováno v:
Sensors, Vol 18, Iss 5, p 1340 (2018)
A second-generation monostatic radar system to measure microwave reflections from the human breast is presented and analyzed. The present system can measure the outline of the breast with an accuracy of ±1 mm and precisely place the microwave sensor
Externí odkaz:
https://doaj.org/article/426df1c530294680a3ce74d65cf01dc3
Publikováno v:
PLoS ONE, Vol 11, Iss 9, p e0160849 (2016)
We present preliminary results from a method for estimating the optimal effective permittivity for reconstructing microwave-radar images. Using knowledge of how microwave-radar images are formed, we identify characteristics that are typical of good i
Externí odkaz:
https://doaj.org/article/1ed949a9b92243f6b4aa7062e69ace6c
Autor:
Elise C. Fear, Declan O'Loughlin, Benjamin R. Lavoie, Muhammad Adnan Elahi, Martin O'Halloran
Publikováno v:
Sensors, Vol 21, Iss 8048, p 8048 (2021)
Sensors; Volume 21; Issue 23; Pages: 8048
Sensors (Basel, Switzerland)
Sensors; Volume 21; Issue 23; Pages: 8048
Sensors (Basel, Switzerland)
Microwave breast imaging has seen increasing use in clinical investigations in the past decade with over eight systems having being trialled with patients. The majority of systems use radar-based algorithms to reconstruct the image shown to the clini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c94affa5c78fa8e53bdd7a35a5151d3
https://www.mdpi.com/1424-8220/21/23/8048
https://www.mdpi.com/1424-8220/21/23/8048
Publikováno v:
IEEE Transactions on Computational Imaging. 3:953-965
Microwave imaging for biomedical applications is a growing field that shows promise in early patient studies. Interpretation of preclinical imaging results is difficult, in part due to an incomplete understanding of the imaging operator. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e50c3d8f10e2547d285f8bef25c1f92
https://doi.org/10.1109/tci.2017.2756022
https://doi.org/10.1109/tci.2017.2756022
Publikováno v:
IEEE transactions on medical imaging. 37(8)
Microwave radar imaging is promising as a complementary medical imaging modality. However, the unique nature of the images means interpretation can be difficult. As a result, it is important to understand the sources of image differences, and how muc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdb60c92d5f1e4c381c74e1a64832e80
https://pubmed.ncbi.nlm.nih.gov/29994630
https://pubmed.ncbi.nlm.nih.gov/29994630
Publikováno v:
Sensors, Vol 18, Iss 5, p 1340 (2018)
Sensors; Volume 18; Issue 5; Pages: 1340
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 5; Pages: 1340
Sensors (Basel, Switzerland)
A second-generation monostatic radar system to measure microwave reflections from the human breast is presented and analyzed. The present system can measure the outline of the breast with an accuracy of ±1 mm and precisely place the microwave sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cb53c417b6a72cb762421f1fbd4de03
http://www.mdpi.com/1424-8220/18/5/1340
http://www.mdpi.com/1424-8220/18/5/1340
Autor:
Edward Jones, Martin O'Halloran, Martin Glavin, Benjamin R. Lavoie, Muhammad Adnan Elahi, Elise C. Fear, Declan O'Loughlin
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 18; Issue 6; Pages: 1678
Sensors, Vol 18, Iss 6, p 1678 (2018)
Sensors; Volume 18; Issue 6; Pages: 1678
Sensors, Vol 18, Iss 6, p 1678 (2018)
Confocal Microwave Imaging (CMI) for the early detection of breast cancer has been under development for over two decades and is currently going through early-phase clinical evaluation. The image reconstruction algorithm is a key signal processing co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f756155ea3d8f90f6ca3df5492e94430
https://pubmed.ncbi.nlm.nih.gov/29882893
https://pubmed.ncbi.nlm.nih.gov/29882893
Autor:
Benjamin R. Lavoie, Emily Porter, Elise C. Fear, M. Olavini, Martin O'Halloran, Muhammad Adnan Elahi, Edward Jones
Publikováno v:
2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS).
Microwave imaging is a promising imaging modality for the early detection of breast cancer. The two most important signal processing components of a radar-based microwave imaging system are the early-time artifact removal and the image reconstruction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff0b6fffaabfdc2e985810cf5a53db7f
https://doi.org/10.23919/ursigass.2017.8105082
https://doi.org/10.23919/ursigass.2017.8105082