Model for B1 Imaging in MRI Using the Rotating RF Field
Conventionally, magnetic resonance imaging (MRI) is performed by pulsing gradient coils, which invariably leads to strong acoustic noise, patient safety concerns due to induced currents, and costly power/space requirements. This modeling study investigates a new silent, gradient coil-free MR imaging...
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Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2014/461647 |
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doaj-88df2925b2a24db18c84c1c42f6ae9c42020-11-24T23:58:10ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182014-01-01201410.1155/2014/461647461647Model for B1 Imaging in MRI Using the Rotating RF FieldAdnan Trakic0Jin Jin1Ewald Weber2Stuart Crozier3The School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Brisbane, QLD 4072, AustraliaThe School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Brisbane, QLD 4072, AustraliaThe School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Brisbane, QLD 4072, AustraliaThe School of Information Technology and Electrical Engineering, The University of Queensland (UQ), Brisbane, QLD 4072, AustraliaConventionally, magnetic resonance imaging (MRI) is performed by pulsing gradient coils, which invariably leads to strong acoustic noise, patient safety concerns due to induced currents, and costly power/space requirements. This modeling study investigates a new silent, gradient coil-free MR imaging method, in which a radiofrequency (RF) coil and its nonuniform field (B1+) are mechanically rotated about the patient. The advantage of the rotating B1+ field is that, for the first time, it provides a large number of degrees of freedom to aid a successful B1+ image encoding process. The mathematical modeling was performed using flip angle modulation as part of a finite-difference-based Bloch equation solver. Preliminary results suggest that representative MR images with intensity deviations of <5% from the original image can be obtained using rotating RF field approach. This method may open up new avenues towards anatomical and functional imaging in medicine.http://dx.doi.org/10.1155/2014/461647 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Adnan Trakic Jin Jin Ewald Weber Stuart Crozier |
spellingShingle |
Adnan Trakic Jin Jin Ewald Weber Stuart Crozier Model for B1 Imaging in MRI Using the Rotating RF Field Computational and Mathematical Methods in Medicine |
author_facet |
Adnan Trakic Jin Jin Ewald Weber Stuart Crozier |
author_sort |
Adnan Trakic |
title |
Model for B1 Imaging in MRI Using the Rotating RF Field |
title_short |
Model for B1 Imaging in MRI Using the Rotating RF Field |
title_full |
Model for B1 Imaging in MRI Using the Rotating RF Field |
title_fullStr |
Model for B1 Imaging in MRI Using the Rotating RF Field |
title_full_unstemmed |
Model for B1 Imaging in MRI Using the Rotating RF Field |
title_sort |
model for b1 imaging in mri using the rotating rf field |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2014-01-01 |
description |
Conventionally, magnetic resonance imaging (MRI) is performed by pulsing gradient coils, which invariably leads to strong acoustic noise, patient safety concerns due to induced currents, and costly power/space requirements. This modeling study investigates a new silent, gradient coil-free MR imaging method, in which a radiofrequency (RF) coil and its nonuniform field (B1+) are mechanically rotated about the patient. The advantage of the rotating B1+ field is that, for the first time, it provides a large number of degrees of freedom to aid a successful B1+ image encoding process. The mathematical modeling was performed using flip angle modulation as part of a finite-difference-based Bloch equation solver. Preliminary results suggest that representative MR images with intensity deviations of <5% from the original image can be obtained using rotating RF field approach. This method may open up new avenues towards anatomical and functional imaging in medicine. |
url |
http://dx.doi.org/10.1155/2014/461647 |
work_keys_str_mv |
AT adnantrakic modelforb1imaginginmriusingtherotatingrffield AT jinjin modelforb1imaginginmriusingtherotatingrffield AT ewaldweber modelforb1imaginginmriusingtherotatingrffield AT stuartcrozier modelforb1imaginginmriusingtherotatingrffield |
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1725451353198690304 |