Hybrid artifact removal for confocal microwave breast imaging

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

doi:10.1109/LAWP.2014.2298975

Hybrid artifact removal for confocal microwave breast imaging

M.A. Elahi, A. Shahzad, M. Glavin, E. Jones, M. O'Halloran

Metabolism and Systems Research

Research output: Contribution to journal › Article › peer-review

31 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
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 - 9 Jan 2014

UN SDGs

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

Access to Document

10.1109/LAWP.2014.2298975Licence: None: All rights reserved

https://doi.org/10.1109/LAWP.2014.2298975Licence: None: All rights reserved

Cite this

@article{6bdcee9947b543cf8967e3616ac1987f,

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.",

author = "M.A. Elahi and A. Shahzad and M. Glavin and E. Jones and M. O'Halloran",

year = "2014",

month = jan,

day = "9",

doi = "10.1109/LAWP.2014.2298975",

language = "English",

volume = "13",

pages = "149--152",

journal = "IEEE Antennas and Wireless Propagation Letters",

issn = "1536-1225",

publisher = "IEEE Xplore",

}

TY - JOUR

T1 - Hybrid artifact removal for confocal microwave breast imaging

AU - Elahi, M.A.

AU - Shahzad, A.

AU - Glavin, M.

AU - Jones, E.

AU - O'Halloran, M.

PY - 2014/1/9

Y1 - 2014/1/9

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.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84894196265&partnerID=MN8TOARS

U2 - 10.1109/LAWP.2014.2298975

DO - 10.1109/LAWP.2014.2298975

M3 - Article

SN - 1536-1225

VL - 13

SP - 149

EP - 152

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

ER -

Hybrid artifact removal for confocal microwave breast imaging

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this