Method of mapping images of human disease and of designing or selecting a medical device using a surrogate model

• US 10,642,942 B2
• Filed: 02/13/2015
• Issued: 05/05/2020
• Est. Priority Date: 02/14/2014
• Status: Active Grant

• Current Assignee: Carena Healthcare Ltd.
• Original Assignee: Neil W. Bressloff
• Inventors: Bressloff, Neil W.
• Primary Examiner(s): Deodhar, Omkar A
• Application Number:
  US15/118,526
• Publication Number:
  US 20170076014A1
• Time in Patent Office: 1,908 Days
• CPC Class Codes: A61B 2017/00526 Methods of manufacturing
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/5211 involving processing of medical diagnostic data
• CPC Class Codes: A61B 8/0891 for diagnosis of blood vessels
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61B 8/483 involving the acquisition of a 3D volume of data
• CPC Class Codes: A61B 8/5215 involving processing of medical diagnostic data
• CPC Class Codes: A61F 2/915 with bands having a meander structure, adjacent bands being connected to each other
• CPC Class Codes: A61F 2002/91533 characterised by the phase between adjacent bands
• CPC Class Codes: A61F 2002/91575 connected peak to trough
• CPC Class Codes: A61F 2240/002 Designing or making customized prostheses
• CPC Class Codes: A61F 2250/0018 differing in elasticity, stiffness or compressibility
• CPC Class Codes: G06F 17/11 for solving equations , e.g. nonlinear equations, general mathematical optimization problems optimization specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method of designing or selecting an implantable medical device comprises the steps of: i) obtaining a plurality of measured data points of a characteristic of an anatomical feature of an individual; ii) using said data points to construct a surrogate model of said characteristic, the surrogate model being constructed by interpolating or regressing measured data points of the characteristic, and using said surrogate model to obtain predicted values of said characteristic at a plurality of locations; iii) using said predicted values to determine or select at least one value of a design parameter of the implantable medical device. There is further disclosed a method of monitoring or diagnosing a disease or disorder.

Claims

1. A method of designing or selecting an implantable heart valve, the method comprising the steps of:

i) obtaining a plurality of measured data points of a blood vessel root of a heart of an individual, the blood vessel root including obtaining a plurality of measured data points of a characteristic of diseased tissue in the blood vessel root;

ii) constructing a surrogate model of the blood vessel root by interpolating or regressing measured data points of the blood vessel root and the measured data points of the characteristic of the diseased tissue, the surrogate model including an anatomy of the blood vessel root and the characteristic of the diseased tissue;

iii) using said surrogate model to obtain predicted values of said characteristic of the diseased tissue at a plurality of locations in the blood vessel root; and

iv) using the measure values and the predicted values to determine or select at least one value of a design parameter of the implantable heart valve.

2. A method according to claim 1, wherein the surrogate model is a response surface model.

3. A method according to claim 1, wherein step iv) comprises using said measured vales and said predicted values of the characteristic of the diseased tissue to determine values of the design parameter of the heart valve at locations on the heart valve that correspond, when the heart valve is implanted, to the locations of the measured valves and the predicted values of the characteristic of the diseased tissue.

4. A method according to claim 1, wherein step i) comprises obtaining the plurality of measured data points from anatomical images.

5. A method according to claim 1, wherein step ii) comprises constructing said surrogate model using the method of Kriging.

6. A method according to claim 5, further comprising the step of using an expected improvement calculation to determine further locations at which to obtain measured data points in order to improve the surrogate model.

7. A method according to claim 1, wherein step (i) further comprises the step of:

obtaining a plurality of measured data points for each of a plurality of characteristics of diseased tissue of the blood vessel root of the heart of the individual; and

step (ii) further comprises the step of constructing a surrogate model of the blood vessel root by interpolating or regressing measured data points of the blood vessel root and the measured data points of the characteristics of the diseased tissue, the surrogate model including an anatomy of the blood vessel root and the plurality of characteristics of the diseased tissue; and

step (iii) further comprises the step of using said surrogate model to obtain predicted values of said plurality of characteristics of the diseased tissue at a plurality of locations in the blood vessels root.

8. A method according to claim 1, wherein the characteristic of the diseased tissue is the degree of calcification of the diseased tissue in the blood vessel root.

9. A method according to claim 1, wherein step i) comprises obtaining the plurality of measured data points from a plurality of intravascular ultrasound images of sections of the blood vessel root.

10. A non-transitory computer program product stored on a computer-readable medium comprising instructions operative to cause a processor to execute a method according to claim 1.

11. A method of manufacturing an implantable heart valve, comprising the method of designing the implantable heart valve of claim 1, and further comprising the step of manufacturing the implantable heart valve according to the design parameter.

12. An implantable heart valve manufactured according to the method of claim 11.

13. A method of selecting an implantable heart valve from a range of existing implantable heart valve comprising the method of selecting the an implantable heart valve of claim 1.

14. A method according to claim 13, wherein step iv) comprises generating an image from the predicted values, wherein the at least one value of a design parameter is selected based on the image.

15. A method according to claim 1, wherein the implantable heart valve is an implantable aortic valve.