Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A comparison of derived brain volume measurements.


Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 04 07 2022
revised: 16 09 2022
accepted: 23 10 2022
pubmed: 12 11 2022
medline: 30 11 2022
entrez: 11 11 2022
Statut: ppublish

Résumé

T1 Magnetization Prepared Two Rapid Acquisition Gradient Echo (MP2RAGE) with compress sensing (CS) has been proposed as an improvement of the standard MPRAGE sequence with multiple advantages including reduced acquisition time needed to provide a quantitative 3D anatomical image coupled with T1-map. Here we investigated the agreement between FreeSurfer-derived volume measurements obtained from MPRAGE and CS MP2RAGE acquisitions. MPRAGE and CS MP2RAGE images of 37 subjects (14 patients with neurodegenerative disorders and 23 healthy controls) were acquired on a 3 T MR scanner and grey matter volumes were extracted using standard FreeSurfer parcellation. Lin's concordance correlation coefficient (Lin's CCC), Bland-Altman analysis, Passing-Bablok regression and DICE similarity coefficient were calculated to assess the agreement between the two. We found a good correspondence for most of the regions examined, with 93.5 % of them showing a mean DICE index >0.70. Poorer results were found with Lin's CCC especially for subcortical labels across patients. The Bland-Altman analysis showed CS MP2RAGE tended to measure lower cortical volumes compared to MPRAGE but in most cases the difference wasn't statistically relevant. The Passing-Bablock regression indicated overall an absence of systematic constant and proportional bias when CS MP2RAGE was used instead of MPRAGE. We found a good concordance for volumes obtained from MPRAGE and CS MP2RAGE images using FreeSurfer, suggesting a possible role of CS MP2RAGE for structural analysis with significant advantages like shorter acquisition time and the possibility to simultaneously obtain quantitative T1-maps of the brain enriching the diagnostic power of this technique.

Identifiants

pubmed: 36368208
pii: S1120-1797(22)02084-1
doi: 10.1016/j.ejmp.2022.10.023
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

166-174

Informations de copyright

Copyright © 2022 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Domenico Zacà, Gian Franco Piredda, Tom Hilbert and Tobias Kober are employees of Siemens Healthineers. The other authors declare no conflict of interest.

Auteurs

Pilar Maria Ferraro (PM)

Neurology Clinic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Lorenzo Gualco (L)

Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Mauro Costagli (M)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy; Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy. Electronic address: mauro.costagli@unige.it.

Simona Schiavi (S)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy.

Marta Ponzano (M)

Department of Health Sciences, Section of Biostatistics, University of Genoa, Genoa, Italy.

Alessio Signori (A)

Department of Health Sciences, Section of Biostatistics, University of Genoa, Genoa, Italy.

Federico Massa (F)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy.

Matteo Pardini (M)

Neurology Clinic Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy.

Lucio Castellan (L)

Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Fabrizio Levrero (F)

Health Physics Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Domenico Zacà (D)

Siemens Healthcare s.r.l, Milan, Italy.

Gian Franco Piredda (GF)

Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Tom Hilbert (T)

Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Tobias Kober (T)

Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland; Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Luca Roccatagliata (L)

Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy; Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

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Classifications MeSH