Highly-accelerated volumetric brain examination using optimized wave-CAIPI encoding.


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
09 2019
Historique:
received: 09 08 2018
revised: 17 01 2019
accepted: 17 01 2019
pubmed: 9 2 2019
medline: 22 10 2020
entrez: 9 2 2019
Statut: ppublish

Résumé

Rapid volumetric imaging protocols could better utilize limited scanner resources. To develop and validate an optimized 6-minute high-resolution volumetric brain MRI examination using Wave-CAIPI encoding. Prospective. Ten healthy subjects and 20 patients with a variety of intracranial pathologies. At 3 T, MPRAGE, T Extensive simulations were performed to optimize the Wave-CAIPI protocol and minimize both g-factor noise amplification and potential T A noninferiority test was used to test whether the diagnostic quality of Wave-CAIPI was noninferior to the GRAPPA acquisition, with a 15% noninferiority margin. Among all sequences, Wave-CAIPI achieved negligible g-factor noise amplification (g The proposed volumetric brain exam retained comparable image quality when compared with the much longer conventional protocol. 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:961-974.

Sections du résumé

BACKGROUND
Rapid volumetric imaging protocols could better utilize limited scanner resources.
PURPOSE
To develop and validate an optimized 6-minute high-resolution volumetric brain MRI examination using Wave-CAIPI encoding.
STUDY TYPE
Prospective.
POPULATION/SUBJECTS
Ten healthy subjects and 20 patients with a variety of intracranial pathologies.
FIELD STRENGTH/SEQUENCE
At 3 T, MPRAGE, T
ASSESSMENT
Extensive simulations were performed to optimize the Wave-CAIPI protocol and minimize both g-factor noise amplification and potential T
STATISTICAL TEST
A noninferiority test was used to test whether the diagnostic quality of Wave-CAIPI was noninferior to the GRAPPA acquisition, with a 15% noninferiority margin.
RESULTS
Among all sequences, Wave-CAIPI achieved negligible g-factor noise amplification (g
DATA CONCLUSION
The proposed volumetric brain exam retained comparable image quality when compared with the much longer conventional protocol.
LEVEL OF EVIDENCE
2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:961-974.

Identifiants

pubmed: 30734388
doi: 10.1002/jmri.26678
pmc: PMC6687581
mid: NIHMS1017854
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

961-974

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH116173
Pays : United States
Organisme : NIBIB NIH HHS
ID : P41 EB015896
Pays : United States
Organisme : NIBIB NIH HHS
ID : U01 EB025162
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB019437
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB020613
Pays : United States

Informations de copyright

© 2019 International Society for Magnetic Resonance in Medicine.

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Auteurs

Daniel Polak (D)

Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.
Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Siemens Healthcare, Erlangen, Germany.
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Stephen Cauley (S)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.

Susie Y Huang (SY)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Maria Gabriela Longo (MG)

Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

John Conklin (J)

Harvard Medical School, Boston, Massachusetts, USA.
Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Berkin Bilgic (B)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.

Ned Ohringer (N)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Esther Raithel (E)

Siemens Healthcare, Erlangen, Germany.

Peter Bachert (P)

Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.
Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Lawrence L Wald (LL)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Kawin Setsompop (K)

Department of Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Harvard Medical School, Boston, Massachusetts, USA.
Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

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