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Accelerated magnetic resonance imaging tissue phase mapping of the rat myocardium using compressed sensing with iterative soft-thresholding.
McGinley, Gary; Bendiksen, Bård A; Zhang, Lili; Aronsen, Jan Magnus; Nordén, Einar Sjaastad; Sjaastad, Ivar; Espe, Emil K S.
Affiliation
  • McGinley G; Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.
  • Bendiksen BA; KG Jebsen Center for Cardiac Research and Center for Heart Failure Research, University of Oslo, Oslo, Norway.
  • Zhang L; Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.
  • Aronsen JM; KG Jebsen Center for Cardiac Research and Center for Heart Failure Research, University of Oslo, Oslo, Norway.
  • Nordén ES; Bjørknes University College, Oslo, Norway.
  • Sjaastad I; Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway.
  • Espe EKS; KG Jebsen Center for Cardiac Research and Center for Heart Failure Research, University of Oslo, Oslo, Norway.
PLoS One ; 14(7): e0218874, 2019.
Article de En | MEDLINE | ID: mdl-31276508
ABSTRACT

INTRODUCTION:

Tissue Phase Mapping (TPM) MRI can accurately measure regional myocardial velocities and strain. The lengthy data acquisition, however, renders TPM prone to errors due to variations in physiological parameters, and reduces data yield and experimental throughput. The purpose of the present study is to examine the quality of functional measures (velocity and strain) obtained by highly undersampled TPM data using compressed sensing reconstruction in infarcted and non-infarcted rat hearts.

METHODS:

Three fully sampled left-ventricular short-axis TPM slices were acquired from 5 non-infarcted rat hearts and 12 infarcted rat hearts in vivo. The datasets were used to generate retrospectively (simulated) undersampled TPM datasets, with undersampling factors of 2, 4, 8 and 16. Myocardial velocities and circumferential strain were calculated from all datasets. The error introduced from undersampling was then measured and compared to the fully sampled data in order to validate the method. Finally, prospectively undersampled data were acquired and compared to the fully sampled datasets.

RESULTS:

Bland Altman analysis of the retrospectively undersampled and fully sampled data revealed narrow limits of agreement and little bias (global radial velocity median bias = -0.01 cm/s, 95% limits of agreement = [-0.16, 0.20] cm/s, global circumferential strain median bias = -0.01%strain, 95% limits of agreement = [-0.43, 0.51] %strain, all for 4x undersampled data at the mid-ventricular level). The prospectively undersampled TPM datasets successfully demonstrated the feasibility of method implementation.

CONCLUSION:

Through compressed sensing reconstruction, highly undersampled TPM data can be used to accurately measure the velocity and strain of the infarcted and non-infarcted rat myocardium in vivo, thereby increasing experimental throughput and simultaneously reducing error introduced by physiological variations over time.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: IRM dynamique / Coeur / Infarctus du myocarde Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2019 Type de document: Article Pays d'affiliation: Norvège

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: IRM dynamique / Coeur / Infarctus du myocarde Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2019 Type de document: Article Pays d'affiliation: Norvège
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