The Asan Foundation

University of Ulsan Foundation for Industry Cooperation

Coreline Soft Co., Ltd.

Joon Beom Seo

Sang Min Lee

Nam Kug Kim

Donghoon Yu

Min Ho Lee

Jaeyoun Yi

Se Youn Park

Namkug Kim

Hyungi Seo

Byeong Soo Kim

Seungbin Bae

Jihye Yun

Seongeun Ahn

Jeongeun Hwang

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.

Method and apparatus for determining level of airway region

Disclosed herein is a computing system for performing medical image analysis. A computing system for performing medical image analysis according to an embodiment of the present invention includes at least one processor. The at least one processor performs image processing on a first medical image, and segments at least one anatomical region in the first medical image. The at least one processor generates a first quantitative parameter for the at least one anatomical region based on quantitative measurement conditions that can be measured in the first medical image, and stores the first quantitative parameter in a database in association with the first medical image and the at least one anatomical region.

Medical image analysis system and similar case retrieval system using quantitative parameters, and methods for the same

A method for predicting a pulmonary disease includes acquiring a three-dimensional computed tomography (CT) image from two-dimensional CT images, each of which captures a respective body position of a first patient, dividing the three-dimensional CT image into a plurality of regions to obtain region-based three-dimensional CT images configured to be used for fractal analysis, calculating a region-based fractal dimension value indicating a fractal complexity of a respective region-based three-dimensional CT image among the generated region-based three-dimensional computed tomography images, adding additional information to the region-based fractal dimension value to generate high-dimensional data, and generating status information of the first patient based on the complexity of the generated high-dimensional data.

Method and apparatus for predicting pulmonary disease using fractal dimension value

Disclosed is a method for the quantification of pulmonary vessels by lobe, the method including extracting, at extraction unit, pulmonary vessels based on a medical image, locating, at analysis unit, voxels of pulmonary vessels with respect to the surface of a lobe, and quantifying, at calculation unit, the extracted pulmonary vessels.

Qualification method of lung vessel based on lobe

Disclosed is a method for measuring a representative value of a duct in vivo, the method including: selecting, by selection unit, at least one duct and sampling measurement sites in each duct; measuring, by creation unit, at least one real cross-section image being sampled to obtain measurement values and creating a measurement cross-section image; in comparing, by comparison-decision unit, the measurement cross-section image with the real cross-section image and evaluating validity of measurement values whether to accept the measurement values as data; and computing, by computation unit, a representative value out of the measurement values accepted as data.

Method and system for measuring representative value of duct in vivo

The present disclosure relates to a method for generating an insertion trajectory of a surgical needle from an entry point to a target, including the steps of: preparing a medical image including the target and an anatomical structure; and extracting an insertion trajectory in consideration of at least one of a degree of invasion into the anatomical structure through the insertion trajectory and a distance of the insertion trajectory. Further, the present disclosure relates to a method for generating an insertion trajectory of a medical device, and a robot for interventional procedures including needle insertion.

Method for generating insertion trajectory of surgical needle

A method of quantifying a medical image is disclosed herein. The method of quantifying a medical image includes acquiring regions of interest based on a medical image; filtering the sizes of the acquired regions of interest using length scale analysis; classifying the regions of interest whose sizes have been filtered, according to the sizes of the regions of interest; and visualizing the regions of interest whose sizes have been filtered, so that the regions of interest whose sizes have been filtered are distinguished from each other in the medical image according to the sizes of the regions of interest.

Method for quantifying medical image

A method for distinguishing between pulmonary arteries and pulmonary veins and a method for quantifying blood vessels are disclosed. The method for distinguishing between pulmonary arteries and pulmonary veins includes: forming a set of pulmonary vessels for points corresponding to pulmonary vessels, wherein each of the points of the set of pulmonary vessels has weight information; forming a tree from the points of the set of pulmonary vessels by using the weight information; and distinguishing between the pulmonary arteries and the pulmonary veins by separating the tree into a plurality of regions. The method for quantifying blood vessels includes: extracting blood vessels as a three-dimensional set of voxels based on medical images of an organ; finding the voxels of blood vessels included in a region of interest of the organ; and quantifying length information of the blood vessels by using the found voxels.

Growing community of inventors

Seoul, South Korea

Joon Beom Seo