Automated measurement system and method for coronary artery disease scoring

Inventors

Lavi, GuyMerhav, Uri

Assignees

CathWorks Ltd

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Publication Number

US-11707196-B2

Patent

Publication Date

2023-07-25

Expiration Date


Abstract

An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.

Core Innovation

The disclosed subject matter relates to coronary artery disease scoring performed by an apparatus including a processor and memory storing computer-readable instructions. The processor obtains a computerized model representative of vascular segments of a patient, where the computerized model is generated based on centerlines determined through the vascular segments and determined based on vascular image data. The processor creates an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments.

The processor uses the computerized model and the unstenosed computerized model to determine a severity of stenosis for vascular locations along the vascular segments by comparing first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. The processor then uses the computerized model to determine a first VSST subscore based on a size of a potential lesion and a second VSST subscore based on a distance of a potential lesion from a branch point of the respective vascular segment.

The processor calculates a total VSST score for at least some of the vascular locations by combining the respective first VSST subscore and the respective second VSST subscore. The processor causes a user interface to display the severity of stenosis in conjunction with the total VSST scores for the vascular locations.

Claims Coverage

The partial content includes two independent claims (apparatus and method). Each independent claim contains five inventive feature blocks: build a computerized vascular model from image-derived centerlines, create an unstenosed model via virtually enlarging vascular locations, determine stenosis severity by comparing blood-flow parameter values between the models at corresponding locations, compute VSST scoring using lesion size and lesion distance from a branch point and combine subscores into a total VSST score, and display stenosis severity together with the total VSST scores on a user interface.

Image-derived computerized vascular model from centerlines

Obtain a computerized model representative of vascular segments of a patient, where the computerized model is generated based on centerlines determined through the vascular segments and wherein the centerlines are determined based on vascular image data.

Unstenosed model by virtual enlargement of vascular locations

Create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments.

Stenosis severity by comparing blood-flow parameter values between models

Determine a severity of stenosis for vascular locations along the vascular segments by comparing first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model.

VSST subscores from lesion size and lesion distance from branch point

Determine, for at least some of the vascular locations along the vascular segments, a first VSST subscore based on a size of a potential lesion and a second VSST subscore based on a distance of a potential lesion from a branch point of the respective vascular segment.

Total VSST score combining subscores and user interface display with stenosis severity

Calculate a total VSST score for at least some of the vascular locations by combining the respective first VSST subscore and the respective second VSST subscore and cause a user interface to display the severity of stenosis in conjunction with the total VSST scores for the vascular locations.

Method version of computational scoring workflow

A method for coronary artery disease scoring that obtains the computerized model based on image-derived centerlines, creates the unstenosed computerized model by virtually enlarging at least some locations, determines stenosis severity by comparing blood flow parameter values at corresponding vascular locations, determines first and second VSST subscores based on size of a potential lesion and distance from a branch point, calculates a total VSST score by combining the subscores, and causes a user interface to display severity of stenosis in conjunction with the total VSST scores.

Across the independent apparatus and method claims, the invention centers on creating a patient-specific computerized vascular model from centerlines, generating an unstenosed counterpart via virtual enlargement, determining stenosis severity by comparing blood-flow parameter values at corresponding vascular locations between the models, computing VSST subscores using lesion size and lesion distance from a branch point, combining them into a total VSST score, and displaying stenosis severity together with the total VSST scores on a user interface.

Stated Advantages

Not explicitly described in patent.

Documented Applications

Automated coronary artery disease scoring using vascular image data and a user interface display of severity of stenosis together with total VSST scores for vascular locations.

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