The Cleveland Clinic Foundation

Volcano Corporation

D Geoffrey Vince

Anuja Nair

Barry D Kuban

Jon D Klingensmith

Marja Pauliina Margolis

Vincent J Burgess

Jon D Klingenamith

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 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.

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 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

A system and method use the frequency spectrum of a radio frequency (RF) signal backscattered from vascular tissue to identify at least one border on a vascular image. A data gathering device is connected to a computing device and a transducer via a catheter. RF data generated via the transducer is provided to the computing device via the data-gathering device. The computing device includes: at least one data storage device for storing a plurality of tissue types and parameters related thereto, and at least one application (e.g., a characterization application, a gradient-border application, a frequency-border application and/or an active-contour application). The characterization application converts the RF data into the frequency domain and identifies a plurality of associate parameters. The identified parameters are compared to the parameters stored in the data storage device to identify the corresponding tissue type and thereafter determine at least one border on a vascular image.

System and method for vascular border detection

A system and method is provided for using the frequency spectrum of a radio frequency (RF) signal backscattered from vascular tissue to identify at least one border (e.g., tissue interface, etc.) on a vascular image. Embodiments of the present invention operate in accordance with a data gathering device (e.g., an intra-vascular ultrasound (IVUS) device, etc.) electrically connected to a computing device and a transducer via a catheter. The transducer is used to gather radio frequency (RF) data backscattered from vascular tissue. The RF data is then provided to (or acquired by) the computing device via the data-gathering device. In one embodiment of the present invention, the computing device includes (i) at least one data storage device (e.g., database, memory, etc.) for storing a plurality of tissue types and parameters related thereto and (ii) at least one application (e.g., a characterization application, a gradient-border application, a frequency-border application and/or an active-contour application). The characterization application is used to convert (or transform) the RF data into the frequency domain and to identify a plurality of parameters associated therewith. The identified parameters are then compared to the parameters stored in the data storage device to identify the corresponding tissue type. This information (e.g., tissue type, corresponding RF data, etc.) is then used, either alone or together with other border-related information (e.g., gradient information, other-border information, etc.), to determine at least one border on a vascular image.

One embodiment of the present system and method is directed to the identification of tissues within a vascular object by analyzing ultrasound data collected from the vascular object by non-invasive scans. By identifying and characterizing types of tissue from ultrasound data, an assessment can be made about the health condition of a patient without an invasive procedure. Other applications of the present system will also be appreciated including identifying other types of tissues.

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Avon Lake, OH, United States of America

D Geoffrey Vince