Computation of transmitted and received B1 fields in magnetic resonance imaging

Julien Milles; Min Zhu Yue; Nan Kuei Chen; Lawrence P. Panych; Gérard Gimenez; Charles R.G. Guttmann

doi:10.1109/TBME.2005.863955

Computation of transmitted and received B1 fields in magnetic resonance imaging

Julien Milles, Min Zhu Yue, Nan Kuei Chen, Lawrence P. Panych, Gérard Gimenez, Charles R.G. Guttmann

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

2 Scopus citations

Abstract

Computation of B1 fields is a key issue for determination and correction of intensity nonuniformity in magnetic resonance images. This paper presents a new method for computing transmitted and received B ₁ fields. Our method combines a modified MRI acquisition protocol and an estimation technique based on the Levenberg-Marquardt algorithm and spatial filtering. It enables accurate estimation of transmitted and received B ₁ fields for both homogeneous and heterogeneous objects. The method is validated using numerical simulations and experimental data from phantom and human scans. The experimental results are in agreement with theoretical expectations.

Original language	English (US)
Article number	1621140
Pages (from-to)	885-895
Number of pages	11
Journal	IEEE Transactions on Biomedical Engineering
Volume	53
Issue number	5
DOIs	https://doi.org/10.1109/TBME.2005.863955
State	Published - May 2006
Externally published	Yes

Keywords

Intensity nonuniformity
Magnetic resonance imaging
Nonlinear inversion
Spatial filtering
Transmitted and received B fields

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/TBME.2005.863955

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title = "Computation of transmitted and received B1 fields in magnetic resonance imaging",

abstract = "Computation of B1 fields is a key issue for determination and correction of intensity nonuniformity in magnetic resonance images. This paper presents a new method for computing transmitted and received B 1 fields. Our method combines a modified MRI acquisition protocol and an estimation technique based on the Levenberg-Marquardt algorithm and spatial filtering. It enables accurate estimation of transmitted and received B 1 fields for both homogeneous and heterogeneous objects. The method is validated using numerical simulations and experimental data from phantom and human scans. The experimental results are in agreement with theoretical expectations.",

keywords = "Intensity nonuniformity, Magnetic resonance imaging, Nonlinear inversion, Spatial filtering, Transmitted and received B fields",

author = "Julien Milles and Yue, {Min Zhu} and Chen, {Nan Kuei} and Panych, {Lawrence P.} and G{\'e}rard Gimenez and Guttmann, {Charles R.G.}",

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T1 - Computation of transmitted and received B1 fields in magnetic resonance imaging

AU - Milles, Julien

AU - Yue, Min Zhu

AU - Chen, Nan Kuei

AU - Panych, Lawrence P.

AU - Gimenez, Gérard

AU - Guttmann, Charles R.G.

PY - 2006/5

Y1 - 2006/5

N2 - Computation of B1 fields is a key issue for determination and correction of intensity nonuniformity in magnetic resonance images. This paper presents a new method for computing transmitted and received B 1 fields. Our method combines a modified MRI acquisition protocol and an estimation technique based on the Levenberg-Marquardt algorithm and spatial filtering. It enables accurate estimation of transmitted and received B 1 fields for both homogeneous and heterogeneous objects. The method is validated using numerical simulations and experimental data from phantom and human scans. The experimental results are in agreement with theoretical expectations.

AB - Computation of B1 fields is a key issue for determination and correction of intensity nonuniformity in magnetic resonance images. This paper presents a new method for computing transmitted and received B 1 fields. Our method combines a modified MRI acquisition protocol and an estimation technique based on the Levenberg-Marquardt algorithm and spatial filtering. It enables accurate estimation of transmitted and received B 1 fields for both homogeneous and heterogeneous objects. The method is validated using numerical simulations and experimental data from phantom and human scans. The experimental results are in agreement with theoretical expectations.

KW - Intensity nonuniformity

KW - Magnetic resonance imaging

KW - Nonlinear inversion

KW - Spatial filtering

KW - Transmitted and received B fields

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Computation of transmitted and received B1 fields in magnetic resonance imaging

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Keywords

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