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Free-breathing cine imaging with motion-corrected reconstruction at 3T using SPiral Acquisition with Respiratory correction and Cardiac Self-gating (SPARCS).
Zhou, Ruixi; Yang, Yang; Mathew, Roshin C; Mugler, John P; Weller, Daniel S; Kramer, Christopher M; Ahmed, Abdul Haseeb; Jacob, Mathews; Salerno, Michael.
Afiliação
  • Zhou R; Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia.
  • Yang Y; Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.
  • Mathew RC; Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Mugler JP; Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.
  • Weller DS; Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia.
  • Kramer CM; Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia.
  • Ahmed AH; Department of Medicine, Cardiovascular Division, University of Virginia Health System, Charlottesville, Virginia.
  • Jacob M; Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia.
  • Salerno M; Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia.
Magn Reson Med ; 82(2): 706-720, 2019 08.
Article em En | MEDLINE | ID: mdl-31006916
ABSTRACT

PURPOSE:

To develop a continuous-acquisition cardiac self-gated spiral pulse sequence and a respiratory motion-compensated reconstruction strategy for free-breathing cine imaging.

METHODS:

Cine data were acquired continuously on a 3T scanner for 8 seconds per slice without ECG gating or breath-holding, using a golden-angle gradient echo spiral pulse sequence. Cardiac motion information was extracted by applying principal component analysis on the gridded 8 × 8 k-space center data. Respiratory motion was corrected by rigid registration on each heartbeat. Images were reconstructed using a low-rank and sparse (L+S) technique. This strategy was evaluated in 37 healthy subjects and 8 subjects undergoing clinical cardiac MR studies. Image quality was scored (1-5 scale) in a blinded fashion by 2 experienced cardiologists. In 13 subjects with whole-heart coverage, left ventricular ejection fraction (LVEF) from SPiral Acquisition with Respiratory correction and Cardiac Self-gating (SPARCS) was compared to that from a standard ECG-gated breath-hold balanced steady-state free precession (bSSFP) cine sequence.

RESULTS:

The self-gated signal was successfully extracted in all cases and demonstrated close agreement with the acquired ECG signal (mean bias, -0.22 ms). The mean image score across all subjects was 4.0 for reconstruction using the L+S model. There was good agreement between the LVEF derived from SPARCS and the gold-standard bSSFP technique.

CONCLUSION:

SPARCS successfully images cardiac function without the need for ECG gating or breath-holding. With an 8-second data acquisition per slice, whole-heart cine images with clinically acceptable spatial and temporal resolution and image quality can be acquired in <90 seconds of free-breathing acquisition.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Imagem Cinética por Ressonância Magnética / Técnicas de Imagem de Sincronização Cardíaca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Imagem Cinética por Ressonância Magnética / Técnicas de Imagem de Sincronização Cardíaca Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2019 Tipo de documento: Article