Signal-to-noise per unit time optimization for in vivo single-voxel proton magnetic resonance spectroscopy of the brain: Theoretical formulation and experimental verification at two field strengths
arxiv(2024)
摘要
Signal-to-noise ratio optimization, regarding repetition time selection, was
explored mathematically and experimentally for single-voxel proton magnetic
resonance spectroscopy. Theoretical findings were benchmarked against phantom
measurements at 1.5 Tesla and localized in vivo proton brain spectra acquired
at both 1.5 Tesla/3.0 Tesla. A detailed mathematical description of
signal-to-noise ratio per unit time was derived, yielding an optimal repetition
time of 1.256 times the metabolite longitudinal relaxation time. While
long-repetition-time acquisitions minimize longitudinal relaxation time
contributions, a repetition time of 1.5s results in maximum signal-to-noise
ratio per unit time, which can in turn be invested into smaller voxel sizes.
The latter is of utmost importance in brain oncology, allowing accurate
spectroscopic characterization of small lesions.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要