Image analysis – Applications – Biomedical applications
Reexamination Certificate
2003-11-24
2008-09-02
Kim, Charles (Department: 2624)
Image analysis
Applications
Biomedical applications
C600S410000
Reexamination Certificate
active
07421103
ABSTRACT:
In a method as well as a device to process measurement data that are composed of a number of data sets with a number of independent random samples originating via temporally successive measurements, for a comparison of the time curve of each acquired random sample with the time curve of a model function using the general linear model, the required calculations are implemented data set-by-data set in a series of the data sets originating from the temporal sequence of measurements, and stored as an intermediate result, with the intermediate results of the directly preceding data set being updated with the new calculations. The comparison can be calculated efficiently and quickly, with a saving of storage space.
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Desai, et al., “Functional MRI Activity Characterization Using Response Time Shift Estimates From Curve Evolution,” IEEE Transactions on Medical Imaging, Nov. 2002, pp. 1402-1412.
Thesen et al., “Bold Magnetic Resonance Imaging in Real Time” electromedica, 2000, pp. 45-52.
“Simultaneous Registration and Activation Detection for fMRI,” Orchard et al., Magnetic Resonance in Medicine (online), Apr. 2002.
Website Printout for Statistical Parametric Mapping Software, (SPM99) (Jan. 25, 2000).
“Real-Time Multiple Linear Regression for fMRI Supported by Time-Aware Acquisition and Processing,” Smyser et al., Magnetic Resonance in Medicine, vol. 45, No. 2 (2001) pp. 289-298.
“Human Brain Function,” Frackowiak et al., (1997) pp. 59-84.
Kim Charles
Schiff & Hardin LLP
Siemens Aktiengesellschaft
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