Temporal registration: a new approach to manage the incomplete recovery of the longitudinal magnetization in the Modified Look-Locker Inversion Recovery sequence (MOLLI) for T1 mapping of the heart.


Journal

Magma (New York, N.Y.)
ISSN: 1352-8661
Titre abrégé: MAGMA
Pays: Germany
ID NLM: 9310752

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 03 07 2019
accepted: 04 12 2019
revised: 17 11 2019
pubmed: 10 1 2020
medline: 16 6 2021
entrez: 10 1 2020
Statut: ppublish

Résumé

To correct with post-processing effects of incomplete recovery of the longitudinal magnetization before a new inversion pulse in the Modified Look-Locker Inversion recovery sequence (MOLLI) sequence. We model such effects as a temporal shift ([Formula: see text]) of the signal of the Look-Locker block following next inversion pulses. After using the following equation [Formula: see text], a temporal registration of [Formula: see text] is applied to the signal of the affected block to adjust the sampling time of the recovery signal and correct the underlying effect on quantitative T1. To test our approach, simulations, phantoms, and five volunteers' data were used while applying different MOLLI sampling schemes at different heart rates and compared to the reference three-parameter fit. The temporal registration of the affected signals allows to reach higher accuracy on long T1 when compared to the reference three parameters fit (10.15 vs 22.12% for T1 = 1785 ms; 8.22 vs 14.65% for T1 = 1278 ms), and lower average variation in case of rest-period deletion (62 vs 231 ms). The proposed approach leads to more accurate T1 in case of incomplete recovery. It is less sensitive to parameters affecting the recovery such as the rest period or the sampling scheme; and, therefore, supports multi-center studies with different MOLLI protocols.

Identifiants

pubmed: 31915957
doi: 10.1007/s10334-019-00815-6
pii: 10.1007/s10334-019-00815-6
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

569-580

Auteurs

Habib Rebbah (H)

GE Healthcare, Advantage Workstation, Buc, France. habib.rebbah@ge.com.
Paris Cardiovascular Research Center (PARCC), INSERM/HEGP, Paris, France. habib.rebbah@ge.com.

Thierry Galas (T)

GE Healthcare, Advantage Workstation, Buc, France.

Gilles Soulat (G)

Paris Cardiovascular Research Center (PARCC), INSERM/HEGP, Paris, France.
Hôpital Européen George Pompidou, Paris, France.

Nadjia Kachenoura (N)

Laboratoire D'Imagerie Biomédicale, INSERM, CNRS, Sorbonne Université, Paris, France.

Anne Menini (A)

GE Research Center, Research Team, Munich, Germany.

Charles A Cuenod (CA)

Paris Cardiovascular Research Center (PARCC), INSERM/HEGP, Paris, France.
Hôpital Européen George Pompidou, Paris, France.

Elie Mousseaux (E)

Paris Cardiovascular Research Center (PARCC), INSERM/HEGP, Paris, France.
Hôpital Européen George Pompidou, Paris, France.

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Classifications MeSH