IP Library Granted Patent US 11,523,744
Granted Patent B2
US 11,523,744 · App. 16/498,578 · Granted Dec 13, 2022

Interaction monitoring of non-invasive imaging based FFR

Inventors: Mordechay Pinchas Freiman (Zichron-Yaakov, IL); Liran Goshen (Pardeds-Hanna, IL); Douglas B. McKnight (Chardon, OH)
Assignee: KONINKLIJKE PHILIPS N.V.
A61B5/029A61B5/02007G06T7/0012G16H30/40G16H50/50G06T2207/10081G06T2207/20092G06T2207/30104G06T2207/30172
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Quick Facts
Patent No.
US 11,523,744
App. No.
16/498,578
Granted
Dec 13, 2022
Kind
B2
Abstract

A system ( 100 ) includes a computer readable storage medium ( 122 ) with computer executable instructions ( 124 ), including: a biophysical simulator component ( 126 ) configured to determine a fractional flow reserve value via simulation and a traffic light engine ( 128 ) configured to track a user-interaction with the computing system at one or more points of the simulation to determine the fractional flow reserve value. A processor ( 120 ) is configured to execute the biophysical simulator component to determine the fractional flow reserve value and configured to execute the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and provide a warning in response to determining there is a potential incorrect interaction. A display is configured to display the warning requesting verification to proceed with the simulation from the point, wherein the simulation is resumed only in response to the processor receiving the requested verification.

Claims (14)

1. A system, comprising:

a non-transitory computer readable storage medium with computer executable instructions, including: a biophysical simulator configured to determine a fractional flow reserve value via simulation and a traffic light engine configured to track a user-interaction with the biophysical simulator during the simulation to determine the fractional flow reserve value;

a processor configured to execute the biophysical simulator to determine the fractional flow reserve value and configured to execute the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and provide a warning in response to determining there is a potential incorrect interaction, wherein the biophysical simulator includes a coronary tree modeling component, which receives volumetric image data and generates a 3-D anatomical model of coronary arteries therefrom, wherein the biophysical simulator further includes a personalized feature extraction component, which receives the 3-D anatomical model of coronary arteries and extracts personalized features therefrom, wherein the user-interaction includes changing a centerline of a coronary vessel or changing a contour line of a coronary vessel, wherein the traffic light engine extracts a set of features about the changed centerline or about the changed contour line and determines a quality score based on the set of extracted features, wherein the warning is based on the quality score; and

a display configured to display the warning requesting verification to proceed with the simulation, wherein the simulation is resumed only in response to the processor receiving the requested verification.

2. The system of claim 1 , wherein the set of extracted features includes one or more of a Hounsfield Unit, a signal to noise ratio, or motion.

3. The system of claim 1 , wherein the set of features includes one or more of an intensity profile along the centerline, a first derivative of the centerline intensity profile, a variation in an intensity along the centerline, a geometrical curvature along the centerline, and a spatial location and length of a centerline.

4. The system of claim 1 , wherein the set of features includes one or more of an intensity distribution inside a vessel, a first derivative of a centerline intensity profile at each cross-section, variations in an intensity inside the vessel, a geometrical curvature of a contour line, a sharpness of an edge at a contour line, or a vessel radius.

5. The system of claim 1 , wherein the traffic light engine computes the quality score with at least one of a rule based algorithm or a machine learning algorithm.

6. The system of claim 5 , wherein the rule based algorithm compares the quality score to a predetermined threshold value, and provides the warning in response to the quality score not satisfying the predetermined threshold value.

7. The system of claim 1 , wherein the processor provides a recommendation in response to the quality score indicating the user-interaction being insufficient.

8. A method, comprising:

executing a biophysical simulator configured to determine a fractional flow reserve value via simulation and a traffic light engine configured to track a user-interaction with the biophysical simulator during the simulation to determine the fractional flow reserve value;

executing the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and configured to provide a warning in response to determining there is a potential incorrect interaction, wherein the biophysical simulator includes a coronary tree modeling component, which receives volumetric image data and generates a 3-D anatomical model of coronary arteries therefrom, wherein the biophysical simulator further includes a personalized feature extraction component, which receives the 3-D anatomical model of coronary arteries and extracts personalized features therefrom, wherein the user-interaction includes changing a centerline of a coronary vessel or changing a contour line of a coronary vessel, wherein the traffic light engine extracts a set of features about the changed centerline or about the changed contour line and determines a quality score based on the set of extracted features, wherein the warning is based on the quality score; and

displaying the warning requesting verification to proceed with the simulation, wherein the simulation is resumed only in response to the processor receiving the requested verification.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2019
From: FREIMAN, MORDECHAY PINCHAS; GOSHEN, LIRAN; MCKNIGHT, DOUGLAS B.
To: KONINKLIJKE PHILIPS N.V.
Reel/Frame 050512/0882 →
Continuity (3)
Provisional Application 62479694 · Mar 31, 2017
Provisional Application 62545599 · Aug 15, 2017
Related Publication 20200037893A1 · Feb 6, 2020
Cited By (11)
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