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Whole‐heart T1 mapping using a 2D fat image navigator for respiratory motion compensation
- Source :
- Magnetic Resonance in Medicine
- Publication Year :
- 2019
- Publisher :
- John Wiley and Sons Inc., 2019.
-
Abstract
- Purpose To combine a 3D saturation‐recovery‐based myocardial T1 mapping (3D SASHA) sequence with a 2D image navigator with fat excitation (fat‐iNAV) to allow 3D T1 maps with 100% respiratory scan efficiency and predictable scan time. Methods Data from T1 phantom and 10 subjects were acquired at 1.5T. For respiratory motion compensation, a 2D fat‐iNAV was acquired before each 3D SASHA k‐space segment to correct for 2D translational motion in a beat‐to‐beat fashion. The effect of the fat‐iNAV on the 3D SASHA T1 estimation was evaluated on the T1 phantom. For 3 representative subjects, the proposed free‐breathing 3D SASHA with fat‐iNAV was compared to the original implementation with the diaphragmatic navigator. The 3D SASHA with fat‐iNAV was compared to the breath‐hold 2D SASHA sequence in terms of accuracy and precision. Results In the phantom study, the Bland‐Altman plot shows that the 2D fat‐iNAVs does not affect the T1 quantification of the 3D SASHA acquisition (0 ± 12.5 ms). For the in vivo study, the 2D fat‐iNAV permits to estimate the respiratory motion of the heart, while allowing for 100% scan efficiency, improving the precision of the T1 measurement compared to non‐motion‐corrected 3D SASHA. However, the image quality achieved with the proposed 3D SASHA with fat‐iNAV is lower compared to the original implementation, with reduced delineation of the myocardial borders and papillary muscles. Conclusions We demonstrate the feasibility to combine the 3D SASHA T1 mapping imaging sequence with a 2D fat‐iNAV for respiratory motion compensation, allowing 100% respiratory scan efficiency and predictable scan time.
- Subjects :
- Adult
Male
myocardial T1 mapping
Phantoms, Imaging
Myocardium
Respiration
Reproducibility of Results
Heart
Note
Magnetic Resonance Imaging
fat image navigator
Breath Holding
Imaging, Three-Dimensional
Adipose Tissue
Image Interpretation, Computer-Assisted
Notes—Imaging Methodology
Image Processing, Computer-Assisted
Humans
Female
Algorithms
respiratory motion compensation
Subjects
Details
- Language :
- English
- ISSN :
- 15222594 and 07403194
- Volume :
- 83
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.pmid..........3d7375ff78c4d5b00ab2c208a53f2aec