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US 9,852,504 B2Granted
Automatic stent detection
AssigneeVolcano Corporation
InventorsElizabeth Begin, Nathaniel J. Kemp, Jason Sproul, Badr Elmaanaoui
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AssigneeVolcano Corporation
InventorsElizabeth Begin, Nathaniel J. Kemp, Jason Sproul, Badr Elmaanaoui
Estimating the term…
This invention relates generally to the detection of objects, such as stents, within intraluminal images using principal component analysis and/or regional covariance descriptors. In certain aspects, a training set of pre-defined intraluminal images known to contain an object is generated. The principal components of the training set can be calculated in order to form an object space. An unknown input intraluminal image can be obtained and projected onto the object space. From the projection, the object can be detected within the input intraluminal image. In another embodiment, a covariance matrix is formed for each pre-defined intraluminal image known to contain an object. An unknown input intraluminal image is obtained and a covariance matrix is computed for the input intraluminal image. The covariances of the input image and each image of the training set are compared in order to detect the presence of the object within the input intraluminal image.
A computer-readable, non-transitory medium storing software code representing instructions that when executed by a computing system cause the computing system to perform a method of detecting an object within an image, the method comprising:
A system for automatically detecting an object within an image, comprising:
A method for detecting an object in an intraluminal image, the method comprising the steps of:
Dependencies are inferred from the claim text.