IP Library Granted Patent US 12,475,557
Granted Patent B2
US 12,475,557 · App. 18/091,828 · Granted Nov 18, 2025

Method and apparatus for determining level of airway region

Inventors: Sang Min Lee (Seoul, KR); Joon Beom Seo (Seoul, KR); Seongeun Ahn (Seoul, KR); Donghoon Yu (Gimpo-si, KR); Seungbin Bae (Goyang-si, KR); Jihye Yun (Seoul, KR)
Assignees: CORELINE SOFT CO., LTD.; THE ASAN FOUNDATION; UNIVERSITY OF ULSAN FOUNDATION FOR INDUSTRY COOPERATION
G06T7/0012G06T7/11G06T2207/20021G06T2207/20044G06T2207/30061
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,475,557
App. No.
18/091,828
Granted
Nov 18, 2025
Kind
B2
Abstract

Disclosed are a method of determining branching levels of a plurality of airway branch segment regions of an airway region, the method comprising: determining branching levels of a plurality of first airway branch segment regions of an airway region included in a medical image from a root to a first order based on anatomical structure information; and determining branching levels of a plurality of second airway branch segment regions of the airway region from a bottom level to the first order.

Claims (40)

1 . A method of determining branching levels of a plurality of airway branch segment regions of an airway region for computer-assisted medical image analysis and diagnosis, the method comprising:

determining branching levels of a plurality of first airway branch segment regions of an airway region included in a medical image from a root to a first order based on anatomical structure information;

determining branching levels of a plurality of second airway branch segment regions of the airway region from a bottom level to the first order; and

generating results of quantitative analysis of an anatomical structure for clinical diagnosis for each branching level of the respective airway branch segment regions of the airway region,

wherein the determining branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order comprises:

assigning a highest one of different levels to a respective airway branch segment region in a direction from a merge point to the root wherein a plurality of airway branch segment regions of the different levels in the airway region meet and merge at the merge point.

2 . The method of claim 1 , wherein the determining branching levels of the plurality of the first airway branch segment regions of the airway region based on the anatomical structure information comprises determining a branching level of a respective airway branch segment region by prioritizing the anatomical structure information over whether the respective airway branch segment region of the airway region branches off from the root.

3 . The method of claim 1 , wherein the determining branching levels of the plurality of first airway branch segment regions of the airway region based on the anatomical structure information comprises determining a branching level of a respective airway branch segment region based on the anatomical structure information including at least one of an airway radius of the respective airway branch segment region of the airway region, a location of the respective airway branch segment region, or a branching direction of the respective airway branch segment region.

4 . The method of claim 1 , wherein the determining branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order comprises assigning a level higher than a same level to a respective airway branch segment region in a direction from a merge point to the root wherein a plurality of airway branch segment regions of the same level in the airway region meet and merge at the merge point.

5 . The method of claim 1 , further comprising initially assigning a branching level of all of respective airway branch segment regions from the bottom level in a direction toward the root using a stream ordering scheme,

wherein the determining branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order comprises:

adjusting the branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order after determining the branching levels of the plurality of first airway branch segment regions of the airway region from the root to the first order based on the anatomical structure information.

6 . The method of claim 5 , wherein the determining branching levels of the plurality of first airway branch segment regions of the airway region based on anatomical structure information comprises:

adjusting the initially assigned branching level so that the root has a predetermined level value; and

determining branching levels of the plurality of first airway branch segment regions of the airway region except for the root by prioritizing the anatomical structure information.

7 . The method of claim 1 , further comprising:

segmenting an organ in the medical image; and

performing skeletonization on an organ segmentation image,

wherein the determining branching levels of the plurality of the first airway branch segment regions and the determining branching levels of the plurality of the second airway branch segment regions is performed based on a skeletonization image.

8 . The method of claim 1 , further comprising providing an airway branching level correction menu for a preliminary result image in which the branching levels of the plurality of second airway branch segment regions of the airway region have been determined from the root to the bottom level.

9 . The method of claim 8 , wherein the airway branching level correction menu is a menu for correcting a branching level of a selected airway branch segment region of the airway region.

10 . The method of claim 8 , wherein the airway branching level correction menu is a menu for collectively correcting a branching level of a selected airway branch segment region of the airway region and branching levels of airway branch segment regions having a level lower than or equal to the level of the selected airway branch segment region.

11 . An apparatus for determining branching levels of a plurality of airway branch segment regions of an airway region for computer-assisted medical image analysis and diagnosis, the apparatus comprising:

memory configured to store one or more instructions; and

a processor configured to execute the one or more instructions;

wherein the processor is further configured to execute the one or more instructions to:

determine branching levels of a plurality of first airway branch segment regions of an airway region included in a medical image from a root to a first order based on anatomical structure information;

determine branching levels of a plurality of second airway branch segment regions of the airway region from a bottom level to the first order; and

generate results of quantitative analysis of an anatomical structure for clinical diagnosis for each branching level of the respective airway branch segment regions of the airway region, and

wherein the processor is, for determining branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order, further configured to:

assign a highest one of different levels to a respective airway branch segment region in a direction from a merge point to the root wherein a plurality of airway branch segment regions of the different levels in the airway region meet and merge at the merge point.

12 . The apparatus of claim 11 , wherein the processor is further configured to determine a branching level of a respective airway branch segment region of the plurality of the first airway branch segment regions by prioritizing the anatomical structure information over whether the respective airway branch segment region of the airway region branches off from the root.

13 . The apparatus of claim 11 , wherein the processor is further configured to assign a level higher than a same level to a respective airway branch segment region in a direction from a merge point to the root wherein a plurality of airway branch segment regions of the same level in the airway region meet and merge at the merge point.

14 . The apparatus of claim 11 , wherein the processor is further configured to:

assign initially a branching level of all of respective airway branch segment region from the bottom level in a direction toward the root using a stream ordering scheme;

adjust the initially assigned branching level so that the root has a predetermined level value;

determine branching levels of the plurality of first airway branch segment regions of the airway region by prioritizing the anatomical structure information; and

adjust branching levels of the plurality of second airway branch segment regions of the airway region from the bottom level to the first order after determining the branching levels of a plurality of first airway branch segment regions of the airway region from the root to the first order based on the anatomical structure information.

15 . The apparatus of claim 11 , wherein the processor is further configured to execute the one or more instructions to correct a branching level of a selected airway branch segment region of the airway region in response to a user input to an airway branching level correction menu.

16 . The apparatus of claim 11 , wherein the processor is further configured to execute the one or more instructions to collectively correct a branching level of a selected airway branch segment region of the airway region and branching levels of airway branch segment regions having a level lower than or equal to the level of the selected airway branch segment region in response to a user input to an airway branching level correction menu.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 30, 2022
From: LEE, SANG MIN; SEO, JOON BEOM; AHN, SEONGEUN; YU, DONGHOON; BAE, SEUNGBIN; YUN, JIHYE
To: CORELINE SOFT CO., LTD.; THE ASAN FOUNDATION; UNIVERSITY OF ULSAN FOUNDATION FOR INDUSTRY COOPERATION
Reel/Frame 062246/0117 →
Priority Claims (1)
KR 10-2022-0034332 · Mar 18, 2022 · national
Continuity (1)
Related Publication 20230298168A1 · Sep 21, 2023
References Cited (18)
US 10282844B2 · Wang et al. · 2019 [cited by applicant]
US 20070127800A1 · Coenen · 2007 [cited by examiner]
US 20110243403A1 · Mizuno · 2011 [cited by examiner]
US 20120082358A1 · Kiraly · 2012 [cited by examiner]
US 20170055876A1 · Novak · 2017 [cited by examiner]
US 20180240232A1 · Wang · 2018 [cited by examiner]
US 20180324131A1 · Gilad · 2018 [cited by examiner]
US 20180368917A1 · Dekel et al. · 2018 [cited by applicant]
US 20220237805A1 · Koster · 2022 [cited by examiner]
US 20250017661A1 · Higgins · 2025 [cited by examiner]
US 20250090415A1 · Jeon · 2025 [cited by examiner]
JP 2015524331A · 2015 [cited by applicant]
Horsfield et al., “Morphonetry of pulmonary arteries from angiograms in chronic obstructive lung disease,” Thorax, 1981, 36, 360-65. [cited by applicant]
Nousias et al., “AVATREE: An open-source computational modelling framework modelling Anatomically Valid Airway TREE conformations,” PLoS One 15(4), Apr. 2020. [cited by applicant]
Montesantos et al., “The Creation and Statistical Evaluation of a Deterministic Model of the Human Bronchial Tree from HRCT Images,” PLos ONE 11(12), Dec. 2016. [cited by applicant]
Smith et al., “Human airway branch variation and chronic obstructive pulmonary disease,” PNAS, 115(5), Jan. 2018. [cited by applicant]
Wang, “Chapter 2 Morphometry of the human respiratory system,” Interface Science and Technology, vol. 5, pp. 7-30, 2005. [cited by applicant]
Tschirren et al., “Segmentation, Skeletonization, and Branchpoint Matching—A Fully Automated Quantitative Evaluation of Human Intrathoracic Airway Trees,” MICCAI 2002, LNCS 2489, pp. 12-19, 2002. [cited by applicant]
Cited By (1)
US 12,714,382