Abstract: Disclosed are a visualization method for assisting medical image diagnosis comprising: acquiring first intensity values of first voxels in a lung region during inspiration, segmented from a chest computed tomography (CT) image acquired during inspiration, as first coordinate values of the first voxels; acquiring differences between second intensity values of second voxels, registered into the first voxels as voxels in the lung region during expiration segmented from a chest CT image acquired during expiration, and the first intensity values as second coordinate values of the first voxels; and visualizing a distribution of the first voxels by mapping the first voxels based on the first coordinate values and the second coordinate values.

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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed are a server and a server-based medical image analysis method. A medical image analysis server according to an embodiment of the present invention includes at least one processor. The at least one processor is configured to: automatically transmit a retrieval query to a first database in which medical images are stored; control a receiving interface so that the receiving interface receives a first medical image satisfying the retrieval query from the first database; perform image processing on the first medical image and extract at least one first region of interest from the first medical image; quantify a first feature extracted for the first medical image and the at least one first region of interest; and store the first feature in a second database in association with the first medical image and the retrieve condition.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Provided is a biopsy needle with an electrode array which measures impedance for a plurality of biopsy points in real time, in which the needle includes electrode patterns configured by a plurality of electrode arrays on the surface, and the electrode patterns are spaced apart from each other along the top and bottom of the needle. According to the present invention, it is possible to selectively measure a predetermined tissue around the needle according to a direction of electrode formation and the number of electrodes while measuring impedance by using a plurality of electrodes by proposing a biopsy needle with a plurality of electrode arrays on a surface.

Abstract: 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.

Abstract: 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.