Digital beam forming in MRI

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Digital beam forming has been implemented in a 7T MRI system with a multi-channel RF coil to obtain images with optimized signal to noise ratio, and uniform intensity. Beam forming is performed by summing the complex images received at each pixel in the image plane using a weighting algorithm to optimize the signal to noise ratio. The theory developed for the algorithm is outlined and includes the RF coil element directivity. Experimental results of beam formed images are compared to the usual magnitude root sum squared (RSS) images.

Original languageEnglish (US)
Title of host publication2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479963119
DOIs
StatePublished - Aug 2 2016
Event2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-Systems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016 - Philadelphia, United States
Duration: Sep 27 2014 → …

Publication series

Name2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016

Other

Other2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-Systems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016
CountryUnited States
CityPhiladelphia
Period9/27/14 → …

Fingerprint

beamforming
Magnetic resonance imaging
Signal to noise ratio
Pixels
signal to noise ratios
coils
directivity
pixels

Keywords

  • Beam forming
  • MRI
  • digital
  • image processing

Cite this

Ebbini, E. S., DelaBarre, L., Vaughan, J. T., & Gopinath, A. (2016). Digital beam forming in MRI. In 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016 [7529482] (2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BenMAS.2014.7529482

Digital beam forming in MRI. / Ebbini, Emad S; DelaBarre, Lance; Vaughan, J. Thomas; Gopinath, Anand.

2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7529482 (2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ebbini, ES, DelaBarre, L, Vaughan, JT & Gopinath, A 2016, Digital beam forming in MRI. in 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016., 7529482, 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016, Institute of Electrical and Electronics Engineers Inc., 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Sub-Systems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016, Philadelphia, United States, 9/27/14. https://doi.org/10.1109/BenMAS.2014.7529482
Ebbini ES, DelaBarre L, Vaughan JT, Gopinath A. Digital beam forming in MRI. In 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7529482. (2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016). https://doi.org/10.1109/BenMAS.2014.7529482
Ebbini, Emad S ; DelaBarre, Lance ; Vaughan, J. Thomas ; Gopinath, Anand. / Digital beam forming in MRI. 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016).
@inproceedings{cebdc502809748a9b9b173d4f3543de4,
title = "Digital beam forming in MRI",
abstract = "Digital beam forming has been implemented in a 7T MRI system with a multi-channel RF coil to obtain images with optimized signal to noise ratio, and uniform intensity. Beam forming is performed by summing the complex images received at each pixel in the image plane using a weighting algorithm to optimize the signal to noise ratio. The theory developed for the algorithm is outlined and includes the RF coil element directivity. Experimental results of beam formed images are compared to the usual magnitude root sum squared (RSS) images.",
keywords = "Beam forming, MRI, digital, image processing",
author = "Ebbini, {Emad S} and Lance DelaBarre and Vaughan, {J. Thomas} and Anand Gopinath",
year = "2016",
month = "8",
day = "2",
doi = "10.1109/BenMAS.2014.7529482",
language = "English (US)",
series = "2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016",

}

TY - GEN

T1 - Digital beam forming in MRI

AU - Ebbini, Emad S

AU - DelaBarre, Lance

AU - Vaughan, J. Thomas

AU - Gopinath, Anand

PY - 2016/8/2

Y1 - 2016/8/2

N2 - Digital beam forming has been implemented in a 7T MRI system with a multi-channel RF coil to obtain images with optimized signal to noise ratio, and uniform intensity. Beam forming is performed by summing the complex images received at each pixel in the image plane using a weighting algorithm to optimize the signal to noise ratio. The theory developed for the algorithm is outlined and includes the RF coil element directivity. Experimental results of beam formed images are compared to the usual magnitude root sum squared (RSS) images.

AB - Digital beam forming has been implemented in a 7T MRI system with a multi-channel RF coil to obtain images with optimized signal to noise ratio, and uniform intensity. Beam forming is performed by summing the complex images received at each pixel in the image plane using a weighting algorithm to optimize the signal to noise ratio. The theory developed for the algorithm is outlined and includes the RF coil element directivity. Experimental results of beam formed images are compared to the usual magnitude root sum squared (RSS) images.

KW - Beam forming

KW - MRI

KW - digital

KW - image processing

UR - http://www.scopus.com/inward/record.url?scp=84992215256&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84992215256&partnerID=8YFLogxK

U2 - 10.1109/BenMAS.2014.7529482

DO - 10.1109/BenMAS.2014.7529482

M3 - Conference contribution

T3 - 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016

BT - 2014 IEEE Benjamin Franklin Symposium on Microwave and Antenna Subsystems for Radar, Telecommunication, and Biomedical Applications, BenMAS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -