Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hyperpolarized carbon-13 magnetic resonance imaging has enabled the real-time observation of perfusion and metabolism  in vivo.  These experiments typically aim to distinguish beten healthy and diseased tissues based on the rate at which they metabolize an injected substrate. Hover, existing approaches to optimizing flip angle sequences for these experiments have focused on indirect metrics of the reliability of metabolic rate estimates, such as signal variation and signal-to-noise ratio.   present an optimization procedure that focuses on maximizing the Fisher information about the metabolic rate.  demonstrate through numerical simulation experiments that flip angles optimized based on the Fisher information lead to lor variance in metabolic rate estimates than previous flip angle sequences. In particular,  demonstrate a 20% decrease in metabolic rate uncertainty when compared with the best competing sequence.  then demonstrate appropriateness of the mathematical model used in the simulation experiments with  in vivo  experiments in a prostate cancer mouse model. While there is no ground truth against which to compare the parameter estimates generated in the  in vivo  experiments,  demonstrate that our model used can reproduce consistent parameter estimates for a number of flip angle sequences.
['John Maidens', 'Jeremy W. Gordon', 'Murat Arcak', 'Peder E. Z. Larson']
I am writing a research paper on a idea Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI
[{"from": "human", "value": "I am writing a research paper on a idea Optimizing Flip Angles for Metabolic Rate Estimation in Hyperpolarized Carbon-13 MRI"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hyperpolarized carbon-13 magnetic resonance imaging has enabled the real-time observation of perfusion and metabolism  in vivo.  These experiments typically aim to distinguish beten healthy and diseased tissues based on the rate at which they metabolize an injected substrate. Hover, existing approaches to optimizing flip angle sequences for these experiments have focused on indirect metrics of the reliability of metabolic rate estimates, such as signal variation and signal-to-noise ratio.   present an optimization procedure that focuses on maximizing the Fisher information about the metabolic rate.  demonstrate through numerical simulation experiments that flip angles optimized based on the Fisher information lead to lor variance in metabolic rate estimates than previous flip angle sequences. In particular,  demonstrate a 20% decrease in metabolic rate uncertainty when compared with the best competing sequence.  then demonstrate appropriateness of the mathematical model used in the simulation experiments with  in vivo  experiments in a prostate cancer mouse model. While there is no ground truth against which to compare the parameter estimates generated in the  in vivo  experiments,  demonstrate that our model used can reproduce consistent parameter estimates for a number of flip angle sequences."}]