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Accelerated multi-snapshot free-breathing B1+ mapping based on the dual refocusing echo acquisition mode technique (DREAM): An alternative to measure RF nonuniformity for cardiac MRI
- Source :
- Journal of Magnetic Resonance Imaging. 49:499-507
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- BACKGROUND Field inhomogeneities in MRI caused by interactions between the radiofrequency field and the patient anatomy can lead to artifacts and contrast variations, consequently degrading the overall image quality and thereby compromising diagnostic value of the images. PURPOSE To develop an efficient free-breathing and motion-robust B1+ mapping method that allows for the investigation of spatial homogeneity of the transmitted radiofrequency field in the myocardium at 3.0T. Three joint approaches are used to adapt the dual refocusing echo acquisition mode (DREAM) sequence for cardiac applications: (1) electrocardiograph triggering; (2) a multi-snapshot undersampling scheme, which relies on the Golden Ratio, to accelerate the acquisition; and (3) motion-compensation based on low-resolution images acquired in each snapshot. STUDY TYPE Prospective. PHANTOM/SUBJECTS Eurospin II T05 system, torso phantom, and five healthy volunteers. FIELD STRENGTH/SEQUENCE 3.0T/DREAM. ASSESSMENT The proposed method was compared with the Bloch-Siegert shift (BSS) method and validated against the standard DREAM sequence. Cardiac B1+ maps were obtained in free-breathing and breath-hold as a proof of concept of the in vivo performance of the proposed method. STATISTICAL TESTS Mean and standard deviation (SD) values were analyzed for six standard regions of interest within the myocardium. Repeatability was assessed in terms of SD and coefficient of variation. RESULTS Phantom results indicated low deviation from the BSS method (mean difference = 3%). Equivalent B1+ distributions for free-breathing and breath-hold in vivo experiments demonstrated the motion robustness of this method with good repeatability (SD
- Subjects :
- Computer science
Image quality
Coefficient of variation
Repeatability
Torso
Imaging phantom
Standard deviation
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
Robustness (computer science)
Undersampling
medicine
Radiology, Nuclear Medicine and imaging
Biomedical engineering
Subjects
Details
- ISSN :
- 10531807
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Journal of Magnetic Resonance Imaging
- Accession number :
- edsair.doi...........78e73745a8f5c7762eba1ee81e70d6c3
- Full Text :
- https://doi.org/10.1002/jmri.26234