Patent ID: 11972511
Assignee: CARL ZEISS X-RAY MICROSCOPY, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 22:
23. A method comprising:
receiving training data of a sample, wherein the training data is acquired by an X-ray imager using training parameters;
receiving an improvement selection;
partitioning the training data into a plurality of unique training subsets using the improvement selection;
training a neural network using each of the unique training subsets, wherein training the neural network includes:
generating improved imaging data for each of the plurality of unique training subsets by applying the neural network to each of the plurality of unique training subsets; and
evaluating the neural network using the improved imaging data;

receiving additional imaging data, wherein i) the additional imaging data is of the sample acquired using additional parameters different than the training parameters, or ii) the additional imaging data is of an additional sample acquired using the training parameters;
generating improved additional imaging data using the additional imaging data and the trained neural network; and
generating a computed tomography (CT) reconstructed volume using the improved additional imaging data.