Abstract: Constructing a computer image from raw imaging data or encoded imaging
data by transforming a first data structure in which the raw imaging data
or the encoded imaging data is stored into a second data structure
storing reorganized imaging data. The raw imaging data or the encoded
imaging data is received, stored in the first data structure. The
computer reorganizes the raw imaging data or the encoded imaging data
into the reorganized data and stores the reorganized data in the second
data structure, which is a multi-dimensional array having subarrays
containing local information needed by a convolutional neural network for
processing the reorganized data. Other portions of the multi-dimensional
array store other portions of the raw imaging data or the encoded imaging
data. The computer also processes the reorganized data using the
convolutional neural network to construct the image, whereby a
constructed image is formed. |
Filed: 1/17/2019 |
Application Number: 16/250910 |
This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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