Method for evaluating magnetic resonance spectroscopy data using a baseline model
In a method for evaluating data of a magnetic resonance signal, a baseline is modeled and at least one metabolite signal is modeled. The modeling of the baseline ensues based on magnetic resonance data in the time domain, and using only data that begins with the magnetic resonance signal and having a length that is shorter than the duration of the overall magnetic resonance signal.
1. A method for evaluating data of a magnetic resonance signal, comprising the steps of:
modeling a baseline based on magnetic resonance data in the time domain, using only data from a time interval that begins with the magnetic resonance signal and having a length that is shorter than a duration of an entirety of the magnetic resonance signal; and
modeling at least one metabolite signal.
2. A method according to claim 1 comprising introducing first data of the magnetic resonance signal at a beginning of the time interval in the modeling of the baseline.
3. A method according to claim 1 comprising varying parameters for optimizing modeling of the baseline in a common step with variation of parameters for optimizing the modeling of said at least one metabolite signal.
4. A method according to claim 3 comprising varying parameters for optimizing the modeling of the baseline and varying parameters for optimizing of the modeling of said at least one metabolite signal alternatingly in an iteration procedure in the time domain.
5. A method according to claim 4 comprising beginning said iteration procedure with an estimation of at least one metabolite signal.
6. A method according to claim 1 comprising optimizing modeling of the baseline by restricting at least one parameter by introducing parameter limits.
7. A method according to claim 1 comprising optimizing modeling of the baseline by restringing at least one parameter by limiting a portion of the baseline in the overall signal.
8. A method according to claim 1 wherein the modeling of the baseline produces a modeled baseline, and comprising the additional step of apodizing said modeled baseline.
9. A method according to claim 8 comprising apodizing said modeled baseline with an exponentially dropping filter function.
10. A method according to claim 1 wherein the modeling of the baseline produces a modeled baseline, and comprising the additional step of regularizing said modeled baseline.
11. A computer program product for evaluating data of a magnetic resonance signal, said computer program product, when loaded into a computer, causing said computer to:
model a baseline based on magnetic resonance data in the time domain, using only data from a time interval that begins with the magnetic resonance signal and having a length that is shorter than a duration of an entirety of the magnetic resonance signal; and
model at least one metabolite signal.