Volcano Corporation

Koninklijke Philips Corporation N.v.

Volcano Corporaton

Vladimir Zagrodsky

Bernhard Sturm

Jason Sproul

Elizabeth Begin

Nathaniel J Kemp

Jon D Klingensmith

David Goodwin

Wolf-Ekkehard Blanz

Nikhil Sreedhar Rajguru

Nikhil Rajguru

According to one embodiment, an ultrasound imaging system is configured to receive images from an ultrasound imaging device, and output, to a display in communication with the processor circuit, a screen display including an image and a user control comprising a plurality of control positions. The system is further configured to receive a control input associated with a single selected position of the user control, and based on the single selected position, determine at least two altered image setting values associated with at least two image settings of the plurality of image settings. The system then generates an updated image using the at least two altered image setting values. Accordingly, a single, intuitive control can change multiple visual aspects of an ultrasound image, such changing the image from grayscale to color, and many contrast and/or brightness levels in between, in a single user action.

Appearance control for medical images

Computer-implemented methods for use in improving the diagnostic quality of images, including intravascular ultrasound (IVUS) images, are disclosed. The methods include using a non-linear, probabilistic classifier algorithm to analyze a plurality of spatiotemporal features of RF backscatter and to produce a blood likelihood map or blood probability map that corresponds to the original IVUS image. The methods disclosed herein allow for visualizing both static and dynamic characteristic of a vessel either by producing a transparency modulated color overlay of the blood likelihood map without altering the underlying IVUS image or by processing the IVUS image based upon the blood likelihood map to better distinguish between static and dynamic components of the vessel.

Method for visualizing blood and blood-likelihood in vascualar images

The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.

Methods and systems for transforming luminal images

A method for artifact management in a rotational imaging system is presented. The method includes the steps of acquiring data employing a helical scanning pattern over N revolutions, where N is greater than 1, and detecting at least one artifact in the acquired data of each revolution. The method further includes segmenting the data acquired over N revolutions into N-1 data frames each bounded by at least one of the at least one artifacts.

Artifact management in rotational imaging

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El Dorado Hills, CA, United States of America

Vladimir Zagrodsky