Volcano Corporation

Philips Image Guided Therapy Corporation

Vincent J Burgess

Nancy Perry Pool

Blair D Walker

Jon D Klingensmith

William Russell Kanz

Stephen M Fry

Marja Pauliina Margolis

Richard Scott Huennekens

R Scott Huennekens

Anuja Nair

D Geoffrey Vince

Henrick K Gille

Edward Anthony Oliver

Randall Kent Hanson

A componentized intravascular ultrasound system is disclosed that flexibly integrates with a catheter lab infrastructure for acquisition and display of intravascular information in a catheter lab environment. The system includes a patient interface module (PIM) adapted to hold a catheter having an imaging probe located near a distal end, a control panel, a monitor for displaying images and patient data, and a processing unit. The processing unit is communicatively coupled to the PIM, the control panel, and the monitor. Furthermore the processing unit adapted to: coordinate operation of the PIM, the control panel, and the monitor; and generate images from image data provides by the PIM. The PIM, control panel and monitor are independently positionable with regard to one another.

Component-based catheter lab intravascular ultrasound system

A system and method for providing a vascular image are disclosed wherein a single composite display simultaneously provides a first view of a patient including an angiogram image and a second view including an intravascular image rendered from information provided by an imaging probe mounted on a distal end of a flexible elongate member. A cursor, having a position derived from image information provided by a radiopaque marker proximate the imaging probe, is displayed within the angiogram image to correlate the position of the imaging probe to a presently displayed intravascular image and thus provide an easily discernable identification of a position within a patient corresponding to a currently displayed intravascular image. The resulting composite display simultaneously provides: an intravascular image that includes information about a vessel that is not available from an angiogram and a current location within a vessel of a source of intravascular image data from which the intravascular image is rendered.

Vascular image co-registration

A method and system are disclosed for creating, in a coordinated manner, graphical images of a body including vascular features from a combination of image data sources. The method includes initially creating an angiographic image of a vessel segment. The angiographic image is, for example, either a two or three dimensional image representation. Next, a vessel image data set is acquired that is distinct from the angiographic image data. The vessel image data set comprises information acquired at a series of positions along the vessel segment. An example of such vessel image data is a set of intravascular ultrasound frames corresponding to circumferential cross-section slices taken at various positions along the vessel segment. The angiographic image and the vessel image data set are correlated by comparing a characteristic rendered independently from both the angiographic image and the vessel image data at positions along the vessel segment.

Three dimensional co-registration for intravascular diagnosis and therapy

A system and method are disclosed for automatically classifying plaque lesions. A plaque classification application applies a plaque classification criterion to at least one graphical image, comprising a map of spectrally-analyzed characterized tissue of a vessel cross-section, to render an overall plaque classification for the slice or set of slices, covering a 3D volume. The plaque classification is based upon the amount and location of each characterized tissue type (e.g., necrotic core&#x2014;NC). In an exemplary embodiment the set of potential plaque classifications, not to be confused with characterized tissue types&#x2014;from which the plaque classifications are derived&#x2014;include, for example: adaptive intimal thickening (AIT), pathological intimal thickening (PIT), fibroatheroma (FA), thin-cap fibroatheroma (TCFA), and fibro-calcific (FC).

Automated lesion analysis based upon automatic plaque characterization according to a classification criterion

Growing community of inventors

San Diego, CA, United States of America

Vincent J Burgess