# US 12,758,175 B2 · Wall thickness estimation method, recording medium, wall thickness estimation device, and wall thickness estimation system

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- Number: US 12,758,175 B2
- Document ID: US12758175B2
- Status: Granted
- Kind: B2
- Application number: 18/271,977
- Filed: 2022-02-18
- Published: 2024-03-14
- Granted: 2026-10-13
- Earliest claimed: 2021-03-09
- Assignees: Osaka University
- Applicants: Osaka University
- Inventors: Yoshie Sugiyama
- Web page: https://patentgrep.com/patent/US12758175B2

## CPC

- A61B 6/5217: {extracting a diagnostic or physiological parameter from medical diagnostic data}
- A61B 6/504: {for diagnosis of blood vessels, e.g. by angiography}
- A61B 5/055: involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)

## Abstract

A wall thickness estimation method includes: obtaining behavioral information based on a video in which an organ wall or a blood vessel wall is captured using four-dimensional angiography, the behavioral information being numerical information about changes over time in a position of each of a plurality of predetermined points in the organ wall or the blood vessel wall; generating, based on the behavioral information obtained in the obtaining, estimation information that visualizes a strain of each of the plurality of predetermined points for estimating a thickness of the organ wall or a thickness of the blood vessel wall; and outputting the estimation information generated in the generating.

## Claims

### Claim 1

A wall thickness estimation method comprising:
obtaining behavioral information based on a video in which a blood vessel wall is captured using four-dimensional angiography, the behavioral information being numerical information about changes over time in a position of each of a plurality of predetermined points in the blood vessel wall;
generating, based on the behavioral information obtained in the obtaining step, estimation information that visualizes a strain of each of the plurality of predetermined points for estimating a thickness of the blood vessel wall; and
outputting the estimation information generated in the generating step,
wherein each of the plurality of predetermined points is regarded as a minute cube,
wherein the generating the estimation information includes calculating, for each of the plurality of predetermined points, vertical strains of three components relative to a plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein for each of the plurality of predetermined points, the estimation information is information that visualizes, as the strain of the predetermined point, a strain having a maximum value among the vertical strains of the three components relative to the plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein the estimation information is image data indicating a relationship between (i) a shape of the blood vessel wall and (ii) the strain of each of the plurality of predetermined points, such that a first dot is assigned for each of the predetermined points at which the strain of the predetermined point expands by a predetermined rate or more and a second dot is assigned to the remaining plurality of predetermined points, the second dot being visually different from the first dot, and
wherein the thickness of the blood vessel wall is a thickness of a wall of a cerebral aneurysm.

### Claim 2 (depends on 1)

The wall thickness estimation method according to claim 1, further comprising
wherein a treatment for a disease of a blood vessel having the blood vessel wall is determined using the outputted estimation information.

### Claim 3

A non-transitory computer-readable recording medium having a program recorded thereon for causing a computer to execute a wall thickness estimation method comprising:
obtaining behavioral information based on a video in which an a blood vessel wall is captured using four-dimensional angiography, the behavioral information being numerical information about changes over time in a position of each of a plurality of predetermined points in the blood vessel wall;
generating, based on the behavioral information obtained in the obtaining step, estimation information that visualizes a strain of each of the plurality of predetermined points for estimating a thickness of the blood vessel wall; and
outputting the estimation information generated in the generating step,
wherein each of the plurality of predetermined points is regarded as a minute cube,
wherein the generating the estimation information includes calculating, for each of the plurality of predetermined points, vertical strains of three components relative to a plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein for each of the plurality of predetermined points, the estimation information is information that visualizes, as the strain of the predetermined point, a strain having a maximum value among the vertical strains of the three components relative to the plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein the estimation information is image data indicating a relationship between (i) a shape of the blood vessel wall and (ii) the strain of each of the plurality of predetermined points, such that a first dot is assigned for each of the predetermined points at which the strain of the predetermined point expands by a predetermined rate or more and a second dot is assigned to the remaining plurality of predetermined points, the second dot being visually different from the first dot, and
wherein the thickness of the blood vessel wall is a thickness of a wall of a cerebral aneurysm.

### Claim 4

A wall thickness estimation device comprising:
an obtainer which obtains behavioral information based on a video in which a blood vessel wall is captured using four-dimensional angiography, the behavioral information being numerical information about changes over time in a position of each of a plurality of predetermined points in the blood vessel wall;
a generator which generates, based on the behavioral information obtained by the obtainer, estimation information that visualizes a strain of each of the plurality of predetermined points for estimating a thickness of the blood vessel wall; and
an outputter which outputs the estimation information generated by the generator,
wherein each of the plurality of predetermined points is regarded as a minute cube,
wherein the generator generates the estimation information by calculating, for each of the plurality of predetermined points, vertical strains of three components relative to a plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein for each of the plurality of predetermined points, the estimation information is information that visualizes, as the strain of the predetermined point, a strain having a maximum value among the vertical strains of the three components relative to the plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein the estimation information is image data indicating a relationship between (i) a shape of the blood vessel wall and (ii) the strain of each of the plurality of predetermined points, such that a first dot is assigned for each of the predetermined points at which the strain of the predetermined point expands by a predetermined rate or more and a second dot is assigned to the remaining plurality of predetermined points, the second dot being visually different from the first dot, and
wherein the thickness of the blood vessel wall is a thickness of a wall of a cerebral aneurysm.

### Claim 5

A wall thickness estimation system comprising:
an obtainer which obtains behavioral information based on a video in which a blood vessel wall is captured using four-dimensional angiography, the behavioral information being numerical information about changes over time in a position of each of a plurality of predetermined points in the blood vessel wall;
a generator which generates, based on the behavioral information obtained by the obtainer, estimation information that visualizes a strain of each of the plurality of predetermined points for estimating a thickness of the blood vessel wall;
an outputter which outputs the estimation information generated by the generator;
a video information processing device which obtains the video, generates the behavioral information, and outputs the behavioral information to the obtainer; and
a display which displays the estimation information output by the outputter,
wherein each of the plurality of predetermined points is regarded as a minute cube,
wherein the generator generates the estimation information by calculating, for each of the plurality of predetermined points, vertical strains of three components relative to a plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein for each of the plurality of predetermined points, the estimation information is information that visualizes, as the strain of the predetermined point, a strain having a maximum value among the vertical strains of the three components relative to the plurality of surfaces of the minute cube corresponding to the predetermined point,
wherein the estimation information is image data indicating a relationship between (i) a shape of the blood vessel wall and (ii) the strain of each of the plurality of predetermined points, such that a first dot is assigned for each of the predetermined points at which the strain of the predetermined point expands by a predetermined rate or more and a second dot is assigned to the remaining plurality of predetermined points, the second dot being visually different from the first dot, and
wherein the thickness of the blood vessel wall is a thickness of a wall of a cerebral aneurysm.