Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms

M. A. Elahi; B. R. Lavoie; E. Porter; M. Olavini; E. Jones; E. C. Fear; M. O'Halloran

doi:10.23919/URSIGASS.2017.8105082

Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms

M. A. Elahi
, B. R. Lavoie
, E. Porter
, M. Olavini
, E. Jones
, E. C. Fear
, M. O'Halloran

Electrical & Electronic Engineering

Univ. of Calgary
University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

26 Citations (Scopus)

Abstract

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 algorithm. Several image reconstruction algorithms have been developed and their performance has been evaluated in a number of studies. However, most of these evaluation studies were either performed on numerical breast phantoms or used an idealized artifact removal algorithm. In this paper, a range of both data independent and data adaptive imaging algorithms are evaluated using experimental breast phantoms in combination with a realistic artifact removal algorithm. The clutter rejection capabilities of each algorithm are assessed in the presence of experimental noise and residual artifacts using a range of appropriate image quality metrics.

Original language	English
Title of host publication	2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9789082598704
DOIs	https://doi.org/10.23919/URSIGASS.2017.8105082
Publication status	Published - 10 Nov 2017
Event	32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 - Montreal, Canada Duration: 19 Aug 2017 → 26 Aug 2017

Publication series

Name	2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Volume	2017-January

Conference

Conference	32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017
Country/Territory	Canada
City	Montreal
Period	19/08/17 → 26/08/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.23919/URSIGASS.2017.8105082

Cite this

Elahi, M. A., Lavoie, B. R., Porter, E., Olavini, M., Jones, E., Fear, E. C., & O'Halloran, M. (2017). Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. In 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 (pp. 1-4). (2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/URSIGASS.2017.8105082

Elahi, M. A. ; Lavoie, B. R. ; Porter, E. et al. / Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-4 (2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017).

@inproceedings{bd67c6c0eae54d27aefb3b7e4211404b,

title = "Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms",

abstract = "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 algorithm. Several image reconstruction algorithms have been developed and their performance has been evaluated in a number of studies. However, most of these evaluation studies were either performed on numerical breast phantoms or used an idealized artifact removal algorithm. In this paper, a range of both data independent and data adaptive imaging algorithms are evaluated using experimental breast phantoms in combination with a realistic artifact removal algorithm. The clutter rejection capabilities of each algorithm are assessed in the presence of experimental noise and residual artifacts using a range of appropriate image quality metrics.",

author = "Elahi, \{M. A.\} and Lavoie, \{B. R.\} and E. Porter and M. Olavini and E. Jones and Fear, \{E. C.\} and M. O'Halloran",

note = "Publisher Copyright: {\textcopyright} 2017 URSI.; 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017 ; Conference date: 19-08-2017 Through 26-08-2017",

year = "2017",

month = nov,

day = "10",

doi = "10.23919/URSIGASS.2017.8105082",

language = "English",

series = "2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017",

}

Elahi, MA, Lavoie, BR, Porter, E, Olavini, M, Jones, E, Fear, EC & O'Halloran, M 2017, Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. in 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017. 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017, Montreal, Canada, 19/08/17. https://doi.org/10.23919/URSIGASS.2017.8105082

Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. / Elahi, M. A.; Lavoie, B. R.; Porter, E. et al.
2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4 (2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017; Vol. 2017-January).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms

AU - Elahi, M. A.

AU - Lavoie, B. R.

AU - Porter, E.

AU - Olavini, M.

AU - Jones, E.

AU - Fear, E. C.

AU - O'Halloran, M.

PY - 2017/11/10

Y1 - 2017/11/10

N2 - 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 algorithm. Several image reconstruction algorithms have been developed and their performance has been evaluated in a number of studies. However, most of these evaluation studies were either performed on numerical breast phantoms or used an idealized artifact removal algorithm. In this paper, a range of both data independent and data adaptive imaging algorithms are evaluated using experimental breast phantoms in combination with a realistic artifact removal algorithm. The clutter rejection capabilities of each algorithm are assessed in the presence of experimental noise and residual artifacts using a range of appropriate image quality metrics.

AB - 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 algorithm. Several image reconstruction algorithms have been developed and their performance has been evaluated in a number of studies. However, most of these evaluation studies were either performed on numerical breast phantoms or used an idealized artifact removal algorithm. In this paper, a range of both data independent and data adaptive imaging algorithms are evaluated using experimental breast phantoms in combination with a realistic artifact removal algorithm. The clutter rejection capabilities of each algorithm are assessed in the presence of experimental noise and residual artifacts using a range of appropriate image quality metrics.

UR - https://www.scopus.com/pages/publications/85046148853

U2 - 10.23919/URSIGASS.2017.8105082

DO - 10.23919/URSIGASS.2017.8105082

M3 - Conference Publication

T3 - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017

SP - 1

EP - 4

BT - 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017

Y2 - 19 August 2017 through 26 August 2017

ER -

Elahi MA, Lavoie BR, Porter E, Olavini M, Jones E, Fear EC et al. Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms. In 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-4. (2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017). doi: 10.23919/URSIGASS.2017.8105082

Comparison of radar-based microwave imaging algorithms applied to experimental breast phantoms

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this