| CPC G01R 33/5608 (2013.01) [G01R 33/4822 (2013.01); G01R 33/4835 (2013.01); G06N 3/08 (2013.01)] | 10 Claims |
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1. A medical analysis system for reconstructing magnetic resonance images, the medical analysis system comprising a processor and at least one memory storing machine executable instructions, the processor being configured for controlling the medical analysis system, wherein execution of the machine executable instructions causes the processor to:
provide a trained machine learning model, the trained machine learning model being configured for reconstructing images from input data;
receive a M dimensional multidimensional array comprising M dimensional acquired data;
determine at least one subset of values of at least one selected dimension of the M dimensional array;
for each value of each of the at least one subset(s) determine an M−K dimensional array with K≥1 comprising the acquired data corresponding to the values, resulting in a set of M-K dimensional arrays;
input the set of M−K dimensional arrays to the trained machine learning model, and receive an image reconstruction output from the trained machine learning model and wherein execution of the machine executable instructions further causes the processor to determine the subset of values so that the correlation between the M−K dimensional array associated with a center value of the subset and the remaining M−K dimensional arrays of the set is higher than a predefined threshold.
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