Fast 3D 31P B1+ mapping with a weighted stack of spiral trajectory at 7 T
Purpose: Phosphorus MRS (31P MRS) enables noninvasive assessment of energy metabolism, yet its application is hindered by sensitivity limitations. To overcome this, often high magnetic fields are used, leading to challenges such as spatial (Formula presented.) inhomogeneity and therefore the need for accurate flip-angle determination in accelerated acquisitions with short TRs. In response to these challenges, we propose a novel short TR and look-up table–based double-angle method for fast 3D 31P (Formula presented.) mapping (fDAM). Methods: Our method incorporates 3D weighted stack-of-spiral gradient-echo acquisitions and a frequency-selective pulse to enable efficient (Formula presented.) mapping based on the phosphocreatine signal at 7 T. Protocols were optimized using simulations and validated through phantom experiments. The method was validated in the human brain using a 31P 1Ch-trasmit/32Ch-receive coil and skeletal muscle using a birdcage 1H/31P volume coil. Results: The results of fDAM were compared with the classical DAM. A good correlation (r = 0.95) was obtained between the two (Formula presented.) maps. A 3D 31P (Formula presented.) mapping in the human calf muscle was achieved in about 10:50 min using a birdcage volume coil, with a 20% extended coverage (number of voxels with SNR > 3) relative to that of the classical DAM (24 min). fDAM also enabled the first full-brain coverage 31P 3D (Formula presented.) mapping in approximately 10:15 min using a 1Ch-transmit/32Ch-receive coil. Conclusion: fDAM is an efficient method for 31P 3D (Formula presented.) mapping, showing promise for future applications in rapid 31P MRSI.
2-s2.0-85205532303
39365949
2025-02-01
93
2
481
489
REVIEWED
EPFL
Funder | Grant Name | Grant Number | Grant URL |
University of Lausanne | |||
University of Geneva | |||
Lausanne University Hospital | |||
Siemens Healthineers | |||
National Institutes of Health | |||
Geneva University Hospitals | |||
Ecole Polytechnique Federale de Lausanne | |||
CIBM | |||
Swiss National Science Foundation | 213769,320030_189064 | ||
National Cancer Institute | R37CA263583 | ||