Interpretation and Quantification of Emergency Features on Head Computed Tomography
AssigneeThe Regents of the University of California
InventorsEsther L. Yuh, Pratik Mukherjee, Geoffrey T. Manley
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Abstract
A computer-based method for quantitative evaluation of computed tomography (CT) images of the head, particularly in circumstances of neurological emergency such as acute intracranial hemorrhage, evidence of intracranial mass effect, and acute stroke. The method comprises: calculation of volumes of abnormal areas such as locations of hemorrhage; quantification of severity of midline shift and basilar cistern effacement; and rapid identification of anatomical locations of abnormal findings. The methods comprise use of heuristics, convolutional neural networks, deep learning, edge detection, and Hough transform.
Claims21
-28. (canceled)
A computer-based method for evaluation of a head computed tomography (CT) image, the method comprising:
- analyzing at least one image from a set of head CT images to identify pixels associated with a midline structure for a brain;
- fitting a plane in three dimensions based, at least in part, on the identified pixels associated with the midline structure, to generate an expected normal midline plane;
- and
- determining an anomaly of the brain based, at least in part, on a measure of symmetry of at least one structure that is identified from at least one image of the set of head CT images, relative to the expected normal midline plane.
A non-transitory computer-readable medium storing contents that, when executed by one or more processors, cause the one or more processors to perform actions comprising:
- analyzing at least one image from a set of head computed tomography (CT) images to identify pixels associated with a midline structure for a brain;
- fitting a plane in three dimensions based, at least in part, on the identified pixels associated with the midline structure, to generate an expected normal midline plane;
- and
- determining an anomaly of the brain based, at least in part, on a measure of symmetry of at least one structure that is identified from at least one image of the set of head CT images, relative to the expected normal midline plane.
A system, comprising:
- one or more processors;
- and
- memory storing contents that, when executed by the one or more processors, cause the system to perform actions comprising:
- analyzing at least one image from a set of head computed tomography (CT) images to identify pixels associated with a midline structure for a brain;
- fitting a plane in three dimensions based, at least in part, on the identified pixels associated with the midline structure, to generate an expected normal midline plane;
- and
- determining an anomaly of the brain based, at least in part, on a measure of symmetry of at least one structure that is identified from at least one image of the set of head CT images, relative to the expected normal midline plane.
Dependencies are inferred from the claim text.