Processing of tractography results using an autoencoder
AssigneeImeka Solutions Inc.
InventorsJon Haitz Legarreta Gorrono, Maxime Descoteaux, Pierre-Marc Jodoin
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AssigneeImeka Solutions Inc.
InventorsJon Haitz Legarreta Gorrono, Maxime Descoteaux, Pierre-Marc Jodoin
Estimating the term…
A computer system that computes second tractography results is described. This computer may include: a computation device (such as a processor, a graphics processing unit or GPU, etc.) that executes program instructions; and memory that stores the program instructions. During operation, the computer system receives information specifying tractography results that specify a set of neurological fibers. Then, the computer system computes, using a predetermined (e.g., pretrained) autoencoder neural network, the second tractography results that specify a second set of neurological fibers based at least in part on the tractography results and information associated with a neurological anatomical region. For example, a subset of the set of neurological fibers may be anatomically implausible and the second set of fibers may exclude the subset. Note that the predetermined autoencoder neural network may be trained using an unsupervised-learning technique.
A computer system, comprising:
A non-transitory computer-readable storage medium for use in conjunction with a computer system, the computer-readable storage medium configured to store program instructions that, when executed by the computer system, causes the computer system to perform one or more operations comprising:
A method for computing second tractography results, comprising:
Dependencies are inferred from the claim text.