Highly parallel volumetric imaging with a 32-element RF coil array

Yudong Zhu; Christopher J. Hardy; Daniel K. Sodickson; Randy O. Giaquinto; Charles L. Dumoulin; Gontran Kenwood; Thoralf Niendorf; Hubert Lejay; Charles A. McKenzie; Michael A. Ohliger; Neil M. Rofsky

doi:10.1002/mrm.20209

Highly parallel volumetric imaging with a 32-element RF coil array

Yudong Zhu, Christopher J. Hardy, Daniel K. Sodickson, Randy O. Giaquinto, Charles L. Dumoulin, Gontran Kenwood, Thoralf Niendorf, Hubert Lejay, Charles A. McKenzie, Michael A. Ohliger, Neil M. Rofsky

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

115 Scopus citations

Abstract

The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.

Original language	English (US)
Pages (from-to)	869-877
Number of pages	9
Journal	Magnetic resonance in medicine
Volume	52
Issue number	4
DOIs	https://doi.org/10.1002/mrm.20209
State	Published - Oct 2004

Keywords

Abdominal imaging
Coil design
High acceleration
MRA
Parallel imaging
Volumetric imaging

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1002/mrm.20209

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title = "Highly parallel volumetric imaging with a 32-element RF coil array",

abstract = "The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.",

keywords = "Abdominal imaging, Coil design, High acceleration, MRA, Parallel imaging, Volumetric imaging",

author = "Yudong Zhu and Hardy, {Christopher J.} and Sodickson, {Daniel K.} and Giaquinto, {Randy O.} and Dumoulin, {Charles L.} and Gontran Kenwood and Thoralf Niendorf and Hubert Lejay and McKenzie, {Charles A.} and Ohliger, {Michael A.} and Rofsky, {Neil M.}",

year = "2004",

month = oct,

doi = "10.1002/mrm.20209",

language = "English (US)",

volume = "52",

pages = "869--877",

journal = "Magnetic resonance in medicine",

issn = "0740-3194",

publisher = "John Wiley and Sons Inc.",

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T1 - Highly parallel volumetric imaging with a 32-element RF coil array

AU - Zhu, Yudong

AU - Hardy, Christopher J.

AU - Sodickson, Daniel K.

AU - Giaquinto, Randy O.

AU - Dumoulin, Charles L.

AU - Kenwood, Gontran

AU - Niendorf, Thoralf

AU - Lejay, Hubert

AU - McKenzie, Charles A.

AU - Ohliger, Michael A.

AU - Rofsky, Neil M.

PY - 2004/10

Y1 - 2004/10

N2 - The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.

AB - The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.

KW - Abdominal imaging

KW - Coil design

KW - High acceleration

KW - MRA

KW - Parallel imaging

KW - Volumetric imaging

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JO - Magnetic resonance in medicine

JF - Magnetic resonance in medicine

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ER -

Highly parallel volumetric imaging with a 32-element RF coil array

Abstract

Keywords

ASJC Scopus subject areas

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