IP Library Granted Patent US 12,505,555
Granted Patent B2
US 12,505,555 · App. 18/561,137 · Granted Dec 23, 2025

Device and method for providing sinus image and learning method thereof

Inventors: Kyoo Ok Choi (Seoul, KR); Jegwang Ryu (Incheon, KR)
Assignee: OSSTEM IMPLANT CO., LTD.
G06T7/11A61B6/51A61C13/0004G06T17/00G06T2207/10116G06T2207/20081G06T2207/20084G06T2207/30036G06T2210/41
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Quick Facts
Patent No.
US 12,505,555
App. No.
18/561,137
Granted
Dec 23, 2025
Kind
B2
Abstract

An apparatus for providing a maxillary sinus image according to one embodiment includes a first artificial neural network model configured to distinguish a partial coronal plane region-of-interest from a coronal plane image of a head, a second artificial neural network model configured to, relative to an axial plane image of the head, extract a two-dimensional maxillary sinus image in an axial plane region-of-interest that corresponds to a position of the coronal plane region-of-interest, and an image processor configured to generate a three-dimensional maxillary sinus image using the two-dimensional maxillary sinus image.

Claims (28)

1 . An apparatus for providing a maxillary sinus image, the apparatus comprising:

a first artificial neural network model configured to distinguish a partial coronal plane region-of-interest from a coronal plane image of a head and to output coordinate information of the coronal plane region-of-interest;

an image processor configured to, based on the coordinate information of the coronal plane region-of-interest, use the coordinate information as coordinate information of an axial plane region-of-interest corresponding to the coronal plane region-of-interest, and distinguish the axial plane region-of-interest from an axial plane image of the head;

a second artificial neural network model configured to extract a two-dimensional maxillary sinus image in the axial plane region-of-interest that corresponds to a position of the coronal plane region-of-interest; and

the image processor further configured to generate a three-dimensional maxillary sinus image using the two-dimensional maxillary sinus image.

2 . The apparatus of claim 1 , wherein:

the image processor provides a cropped image, which includes the axial plane region-of-interest in the axial plane image of the head, to the second artificial neural network model, based on three-dimensional coordinate values of the coronal plane region-of-interest; and

the second artificial neural network model extracts the two-dimensional maxillary sinus image from the cropped image.

3 . The apparatus of claim 2 , wherein:

the coronal plane image of the head and the axial plane image of the head are images captured by radiation imaging apparatuses that use the same sagittal-axial-coronal coordinate system;

the first artificial neural network model outputs sagittal-axial-coronal coordinate information of the coronal plane region-of-interest distinguished from the coronal plane image of the head; and

the image processor obtains sagittal plane coordinate values and axial plane coordinate values of the axial plane region-of-interest from sagittal plane coordinate values and coronal plane coordinate values of the coronal plane region-of-interest and distinguishes the axial plane region-of-interest from the axial plane image of the head.

4 . The apparatus of claim 2 , wherein the second artificial neural network model learns using a cropped image including the axial plane region-of-interest as learning input data and using a masking image, in which a maxillary sinus region in the cropped image is masked, as label data.

5 . The apparatus of claim 1 , wherein the first artificial neural network model learns using a learning coronal plane image of the head as learning input data and using a masking image, in which the coronal plane region-of-interest in the learning coronal plane image of the head is combined, as label data.

6 . The apparatus of claim 1 , wherein the first artificial neural network model extracts a plurality of candidate regions that are distinguishable as the coronal plane region-of-interest from the coronal plane image of the head and, according to a result of comparison of positions based on coronal plane coordinate values of the plurality of candidate regions or comparison of positions based on a central axis of the axial plane, determines at least one candidate region as the coronal plane region-of-interest.

7 . A method for providing a maxillary sinus image that is performed by an apparatus for providing a maxillary sinus image, the method comprising:

distinguishing a partial coronal plane region-of-interest from an input coronal plane image of a head using a first artificial neural network model and outputting coordinate information of the coronal plane region-of-interest;

based on the coordinate information of the coronal plane region-of-interest, using the coordinate information as coordinate information of an axial plane region-of-interest corresponding to the coronal plane region-of-interest, and distinguishing the axial plane region-of-interest from an axial plane image of the head;

extracting, by a second artificial neural network model, a two-dimensional maxillary sinus image in the axial plane region-of-interest that corresponds to a position of the coronal plane region-of-interest; and

generating a three-dimensional maxillary sinus image using the two-dimensional maxillary sinus image.

8 . A non-transitory computer-readable recording medium storing a computer program, wherein the computer program includes instructions that, upon being executed by a processor, allow the processor to perform a method for providing a maxillary sinus image, the method comprising:

distinguishing a partial coronal plane region-of-interest from an input coronal plane image of a head using a first artificial neural network model and outputting coordinate information of the coronal plane region-of-interest;

based on the coordinate information of the coronal plane region-of-interest, using the coordinate information as coordinate information of an axial plane region-of-interest corresponding to the coronal plane region-of-interest, and distinguishing the axial plane region-of-interest from an axial plane image of the head;

extracting, by a second artificial neural network model, a two-dimensional maxillary sinus image in the axial plane region-of-interest that corresponds to a position of the coronal plane region-of-interest; and

generating a three-dimensional maxillary sinus image using the two-dimensional maxillary sinus image.

9 . A learning method of an apparatus for providing a maxillary sinus image, the learning method comprising:

to distinguish a partial coronal plane region-of-interest from an input coronal plane image of a head, causing a first artificial neural network model to learn using a learning coronal plane image of the head as first learning input data and using a masking image, in which the coronal plane region-of-interest in the learning coronal plane image of the head is masked, as first label data, and to output coordinate information of the coronal plane region-of-interest; and

to, based on the coordinate information of the coronal plane region-of-interest, use the coordinate information as coordinate information of an axial plane region-of-interest corresponding to the coronal plane region-of-interest and distinguish the axial plane region-of-interest from an axial plane image of the head, and to extract a two-dimensional maxillary sinus image in a cropped image including the axial plane region-of-interest that corresponds to a position of the coronal plane region-of-interest in an axial plane image of the head, causing a second artificial neural network model to learn using a learning cropped image as second learning input data and using a masking image, in which a maxillary sinus region in the cropped image is masked, as second label data.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 15, 2023
From: CHOI, KYOO OK; RYU, JEGWANG
To: OSSTEM IMPLANT CO., LTD.
Reel/Frame 065573/0702 →
Priority Claims (1)
KR 10-2021-0093567 · Jul 16, 2021 · national
Continuity (1)
Related Publication 20240257354A1 · Aug 1, 2024
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