Hybrid Artifact Removal for Confocal Microwave Breast Imaging

Edward Jones; M. A. Elahi; A. Shahzad; M. Glavin; M. O'Halloran

doi:10.1109/LAWP.2014.2298975

Hybrid Artifact Removal for Confocal Microwave Breast Imaging

Electrical & Electronic Engineering

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

49 Citations (Scopus)

Abstract

Several factors determine the effectiveness of an early-stage artifact removal algorithm for the detection of breast cancer using confocal microwave imaging. These factors include the ability to select the correct time window containing the artifact, the ability to remove the artifact while being robust to normal variances, and ability to effectively preserve the tumor response in the resultant signal. Very few (if any) of the existing artifact removal algorithms incorporate all of these qualities. In this letter, a novel hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor response. This algorithm is compared to existing algorithms using a range of appropriate performance metrics.

Original language	English (Ireland)
Article number	6705628
Pages (from-to)	149-152
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	13
DOIs	https://doi.org/10.1109/LAWP.2014.2298975
Publication status	Published - 1 Jan 2014

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Artifact removal
breast cancer
microwave imaging
ultrawideband radar

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Elahi, MA,Shahzad, A,Glavin, M,Jones, E,O'Halloran, M
Elahi, MA;Shahzad, A;Glavin, M;Jones, E;O'Halloran, M

Access to Document

10.1109/LAWP.2014.2298975

Cite this

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title = "Hybrid Artifact Removal for Confocal Microwave Breast Imaging",

abstract = "Several factors determine the effectiveness of an early-stage artifact removal algorithm for the detection of breast cancer using confocal microwave imaging. These factors include the ability to select the correct time window containing the artifact, the ability to remove the artifact while being robust to normal variances, and ability to effectively preserve the tumor response in the resultant signal. Very few (if any) of the existing artifact removal algorithms incorporate all of these qualities. In this letter, a novel hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor response. This algorithm is compared to existing algorithms using a range of appropriate performance metrics.",

keywords = "Artifact removal, breast cancer, microwave imaging, ultrawideband radar",

author = "Edward Jones and Elahi, \{M. A.\} and A. Shahzad and M. Glavin and M. O'Halloran",

year = "2014",

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doi = "10.1109/LAWP.2014.2298975",

language = "English (Ireland)",

volume = "13",

pages = "149--152",

journal = "IEEE Antennas and Wireless Propagation Letters",

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T1 - Hybrid Artifact Removal for Confocal Microwave Breast Imaging

AU - Jones, Edward

AU - Elahi, M. A.

AU - Shahzad, A.

AU - Glavin, M.

AU - O'Halloran, M.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Several factors determine the effectiveness of an early-stage artifact removal algorithm for the detection of breast cancer using confocal microwave imaging. These factors include the ability to select the correct time window containing the artifact, the ability to remove the artifact while being robust to normal variances, and ability to effectively preserve the tumor response in the resultant signal. Very few (if any) of the existing artifact removal algorithms incorporate all of these qualities. In this letter, a novel hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor response. This algorithm is compared to existing algorithms using a range of appropriate performance metrics.

AB - Several factors determine the effectiveness of an early-stage artifact removal algorithm for the detection of breast cancer using confocal microwave imaging. These factors include the ability to select the correct time window containing the artifact, the ability to remove the artifact while being robust to normal variances, and ability to effectively preserve the tumor response in the resultant signal. Very few (if any) of the existing artifact removal algorithms incorporate all of these qualities. In this letter, a novel hybrid artifact removal algorithm for microwave breast imaging applications is presented, which combines the best attributes of two existing algorithms to effectively remove the early-stage artifact while preserving the tumor response. This algorithm is compared to existing algorithms using a range of appropriate performance metrics.

KW - Artifact removal

KW - breast cancer

KW - microwave imaging

KW - ultrawideband radar

UR - https://www.scopus.com/pages/publications/84894196265

U2 - 10.1109/LAWP.2014.2298975

DO - 10.1109/LAWP.2014.2298975

M3 - Article

VL - 13

SP - 149

EP - 152

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

M1 - 6705628

ER -

Hybrid Artifact Removal for Confocal Microwave Breast Imaging

Abstract

UN SDGs

Keywords

Authors (Note for portal: view the doc link for the full list of authors)

Access to Document

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