The Cleveland Clinic Foundation

Volcano Corporation

Volcano Corporaton

Nair, Anuja

Klingensmith, Jon D.

Vince, Geoffrey D.

Jon D Klingensmith

Anuja Nair

Barry D Kuban

D Geoffrey Vince

Stephen M Fry

Richard Scott Huennekens

Blair D Walker

Nancy Perry Pool

Vincent J Burgess

William Russell Kanz

Peter H Smith

Stephen Charles Davies

Donald S Mamayek

Norman Hugh Hossack

Gerald Lea Litzza

Masood Ahmed

Eric Vaughn Mott

Scott Tennant Brownlie

Edward Anthony Oliver

David Geoffrey Vince

R Scott Huennekens

Richard Chester Klosinski, Jr

Raj Shekhar

Bernhard Sturm

Marja Pauliina Margolis

Ed Oliver

Vladimir Zagrodsky

Richard Klosinski

David Goodwin

Wolf-Ekkehard Blanz

Nikhil Rajguru

Randall Kent Hanson

Geoffrey D Vince

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

A method and system is provided for using backscattered data and known parameters to characterize vascular tissue. Specifically, methods and devices for identifying information about the imaging element used to gather the backscattered data are provided in order to permit an operation console having a plurality of Virtual Histology classification trees to select the appropriate VH classification tree for analyzing data gathered using that imaging element. In order to select the appropriate VH database for analyzing data from a specific imaging catheter, it is advantageous to know information regarding the function and performance of the catheter, such as the operating frequency of the catheter and whether it is a rotational or phased-array catheter. The present invention provides a device and method for storing this information on the imaging catheter and communicating the information to the operation console. In addition, information related to additional functions of the catheter may also be stored on the catheter and used to further optimize catheter performance and/or select the appropriate Virtual Histology classification tree for analyzing data from the catheter imaging element.

Apparatus and method for use of RFID catheter intelligence

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 system and method is provided for using ultrasound data backscattered from vascular tissue to estimate the transfer function of a catheter (including components attached thereto&#x2014;e.g., IVUS console, transducer, etc.). Specifically, in accordance with a first embodiment of the present invention, a computing device is electrically connected to a catheter and used to acquire RF backscattered data from a vascular structure (e.g., a blood vessel, etc.). The backscattered ultrasound data is then used, together with an algorithm, to estimate the transfer function. The transfer function can then be used (at least in a preferred embodiment) to calculate response data for the vascular tissue (i.e., the tissue component of the backscattered ultrasound data). In a second embodiment of the present invention, an IVUS console is electrically connected to a catheter and a computing device and is used to acquire RF backscattered data from a vascular structure. The backscattered data is then transmitted to the computing device, where it is used to estimate the catheter's transfer function and to calculate response data for the vascular tissue. The response data and histology data are then used to characterize at least a portion of the vascular tissue (e.g., identify tissue type, etc.).

System and method for determining a transfer function

A system and method are provided for using a first vascular image, or more particularly a plurality of control points located thereon, to identify a border on a second vascular image. Embodiments of the present invention operate in accordance with an intra-vascular ultrasound (IVUS) device and a computing device electrically connected thereto. In one embodiment, the computing device includes a plurality of applications operating thereon that are used to (I) identify a border and control points on a first IVUS image (i.e., any IVUS image), (ii) extrapolate the control points to a second IVUS image (i.e., another IVUS image), (iii) identify a border on the second IVUS image, and (iv) adjust the border on the second IVUS image in accordance with at least one factor.

System and method for identifying a vascular border

A system and method is provided for substantially synchronizing the acquisition of blood-vessel data to an identifiable portion of heartbeat data. Specifically, a data-gathering device is adapted to acquire heartbeat data and blood-vessel data from a heart-monitoring device and a data-gathering probe, respectively. In a preferred embodiment of the present invention, the blood-vessel data is acquired during a cyclical portion of the heartbeat data. By identifying a cyclical (or commonly reoccurring) portion of the heartbeat data and acquiring blood-vessel data during this cyclical portion (or during an interval that substantially corresponds thereto), the blood vessel can be analyzed as if it were standing still&#x2014;i.e., not expanding and relaxing. In one embodiment of the present invention, the heart-monitoring device includes an EKG device, the data-gathering device includes an intra-vascular ultrasound (IVUS) device and a computing device, and the data-gathering probe includes at least one transducer. In another embodiment of the present invention, the data-gathering system further includes a retraction device adapted to move the data-gathering probe though a blood vessel at a substantially steady speed.

System and method of aquiring blood-vessel data

A system and method is provided for using ultrasound data backscattered from vascular tissue to estimate the transfer function of a catheter and/or substantially synchronizing the acquisition of blood-vessel data to an identifiable portion of heartbeat data. In one embodiment, a computing device and catheter acquire RF backscattered data from a vascular structure. The backscattered ultrasound data is then used to estimate at least one transfer function. The transfer function(s) can then be used to calculate response data for the vascular tissue. Another embodiment includes an IVUS console connected to a catheter and a computing device that acquires RF backscattered data from a vascular structure. Based on the backscattered data, the computing device estimates the catheter's transfer function and to calculate response data for the vascular tissue. The response data and histology data are then used to characterize at least a portion of the vascular tissue.

System and method for characterizing vascular tissue

A system and method is provided for using backscattered data and known parameters to characterize vascular tissue. Specifically, in one embodiment of the present invention, an ultrasonic device is used to acquire RF backscattered data (i.e., IVUS data) from a blood vessel. The IVUS data is then transmitted to a computing device and used to create an IVUS image. The blood vessel is then cross-sectioned and used to identify its tissue type and to create a corresponding image (i.e., histology image). A region of interest (ROI), preferably corresponding to the identified tissue type, is then identified on the histology image. The computing device, or more particularly, a characterization application operating thereon, is then adapted to identify a corresponding region on the IVUS image. To accurately match the ROI, however, it may be necessary to warp or morph the histology image to substantially fit the contour of the IVUS image. After the corresponding region is identified, the IVUS data that corresponds to this region is identified. Signal processing is then performed and at least one parameter is identified. The identified parameter and the tissue type (e.g., characterization data) is stored in a database. In another embodiment of the present invention, the characterization application is adapted to receive IVUS data, determine parameters related thereto (either directly or indirectly), and use the parameters stored in the database to identify a tissue type or a characterization thereof.

System and method of characterizing vascular tissue

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 is provided for using a first vascular image, or more particularly a plurality of control points located thereon, to identify a border on a second vascular image. Embodiments of the present invention operate in accordance with an intra-vascular ultrasound (IVUS) device and a computing device electrically connected thereto. Specifically, in one embodiment of the present invention, an IVUS console is electrically connected to a computing device and adapted to acquire IVUS data. The IVUS data (or multiple sets thereof) is then provided to (or acquired by) the computing device. In one embodiment of the present invention, the computing device includes a plurality of applications operating thereon&#x2014;i.e., a border-detection application, an extrapolation application, and an active-contour application. These applications are used to (i) identify a border and control points on a first IVUS image (i.e., any IVUS image), (ii) extrapolate the control points to a second IVUS image (i.e., another IVUS image), (iii) identify a border on the second IVUS image, and (iv) adjust the border on the second IVUS image in accordance with at least one factor. In one embodiment of the present invention, the at least one factor is selected from a group consisting of gradient factor, continuity factor, and curvature factor.

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Shaker Heights, OH, United States of America

Jon D Klingensmith