Sparse mri data collection and classification using machine learning
AssigneeInternational Business Machines Corporation
InventorsUri Kartoun, Fang Lu, Meenal Pore
Life of this patent
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Abstract
A system, method and program product for implementing a sparse sampling strategy for acquiring MRI data. A method includes: collecting and labeling a training dataset of MRI scans for a predetermined diagnostic; selecting a sampling shape and associated parameter values; sampling each MRI scan in the training data set using the sampling shape and associated parameter values to generate a set of sparse samples; training a neural network using the sparse samples and assigning an accuracy to a resulting trained neural network; and adjusting the associated parameter values, and repeating the sampling and training until optimized parameter values are established.
Claims20
A method for implementing a sparse sampling strategy for acquiring MRI data, comprising:
- collecting and labeling a training dataset of MRI scans for a predetermined diagnostic;
- selecting a sampling shape and associated parameter values;
- sampling each MRI scan in the training data set using the sampling shape and associated parameter values to generate a set of sparse samples;
- training a neural network using the sparse samples and assigning an accuracy to a resulting trained neural network;
- and
- adjusting the associated parameter values, and repeating the sampling and training until optimized parameter values are established.
A system for implementing a sparse sampling strategy for acquiring MRI data, comprising:
- a system for collecting and labeling a training dataset of MRI scans for a predetermined diagnostic;
- a system for selecting a sampling shape and associated parameter values;
- a sampling system for sampling each MRI scan in the training data set using the sampling shape and associated parameter values to generate a set of sparse samples;
- a training system for training a neural network using the sparse samples and assigning an accuracy to the neural network;
- and
- a parameter optimization system that adjusts the associated parameter values and repeatedly runs the sampling system and training system until optimized parameter values are established.
A computer program product stored on a computer readable storage medium, which when executed by a computing system, provides a sparse sampling strategy for acquiring MRI data, the program product comprising:
- program code that collects labels a training dataset of MRI scans for a predetermined diagnostic;
- program code for selecting a sampling shape and associated parameter values;
- program code for sampling each MRI scan in the training data set using the sampling shape and associated parameter values to generate a set of sparse samples;
- program code for training a neural network using the sparse samples and assigning an accuracy to a resulting trained neural network;
- and
- program code for adjusting the associated parameter values, and repeating the sampling and training until optimized parameter values are established.
Dependencies are inferred from the claim text.