Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity.  consider this as a problem of parameter estimation with a nuisance parameter. Using several standard techniques for this type of problem,  derive a variety of estimators for the MRI signal, some previously published and some novel. Using Monte Carlo experiments  compare the estimators  derive with others previously published. Our results suggest that one of the novel estimators  derive may strike a desirable trade-off beten bias and mean squared error.
['M. Dylan Tisdall', 'M. Stella Atkins', 'Richard A. Lockhart']
I am writing a research paper on a idea Maximum likelihood estimators in magnetic resonance imaging
[{"from": "human", "value": "I am writing a research paper on a idea Maximum likelihood estimators in magnetic resonance imaging"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity.  consider this as a problem of parameter estimation with a nuisance parameter. Using several standard techniques for this type of problem,  derive a variety of estimators for the MRI signal, some previously published and some novel. Using Monte Carlo experiments  compare the estimators  derive with others previously published. Our results suggest that one of the novel estimators  derive may strike a desirable trade-off beten bias and mean squared error."}]