Medipixel, Inc.

University of Ulsan Foundation for Industry Cooperation

The Asan Foundation

Ln Robotics Inc.

Jihoon Kweon

Young-Hak Kim

Hwi Kwon

Kyo Seok Song

Young In Kim

Kyung Hwan Kim

Young Jin Moon

Yun Hee Lee

Young Hak Kim

June Goo Lee

Young Eon Kim

Wan Yeong Kim

Chae Hyeuk Lee

Jaesoon Choi

Yoo Jung Kim

Jee One Park

Se Yeong Park

A vascular image processing method performed by a processor includes extracting, from a vascular image, a first vascular region corresponding to an entire blood vessel included in the vascular image, a second vascular region corresponding to a target vessel and one or more branch vessels connected to the target vessel, and a third vascular region corresponding to the target vessel, and predicting a vascular structure in the vascular image, based on the first vascular region, the second vascular region, and the third vascular region, which are extracted from the vascular image.

Method and apparatus for processing vascular image based on blood vessel segmentation

The present disclosure relates to a method, performed by a processor, for processing a blood vessel image from a blood vessel image, the method comprising the steps of: extracting a target blood vessel from a blood vessel image; determining a region of interest (ROI) in an extraction result of the target blood vessel on the basis of a first input received from a user; and within the determined ROI, identifying an error portion in the extraction result on the basis of a second input received from the user, and correcting the identified error portion.

Method and device for processing blood vessel image on basis of user input

The present invention relates to an image processing system for a catheter operation. One embodiment comprises: a storage unit for at least temporarily storing a plurality of candidate routes on which a guide wire can proceed on a changing route caused by vascular bifurcations while proceeding from a first point by using a blood vessel image; and a processor for selecting, from an image inputted while an operation proceeds, at least one route corresponding to the current shape of the guide wire on the basis of a similarity comparison between the current shape of the guide wire and each of the plurality of candidate routes.

Apparatus and method for evaluating proceeding route of guide wire

A method, performed by a processor, for processing a blood vessel image from an angiography image may comprise the steps of: extracting a target blood vessel from a blood vessel image; identifying an error portion from the extraction result of the target blood vessel on the basis of at least one of blood vessel structure data related to the target blood vessel, curvature information of the target blood vessel, diameter information of the target blood vessel, and brightness information of the target blood vessel; and in response to a case where an error portion is identified in the target blood vessel, correcting the identified error portion.

Method and device for automatically processing blood vessel image

A method for extracting a major vessel region from a vessel image by a processor may comprise the steps of: extracting an entire vessel region from a vessel image; extracting a major vessel region from the vessel image on the basis of a machine learning model which extracts a major vessel region; and revising the major vessel region by connecting separated vessel portions on the basis of the entire vessel region.

Method and device for extracting major vessel region on basis of vessel image

A method for training, by a processor, a machine learning model for determining an operation of a medical tool control device may comprise the steps of: obtaining an operation command to move a medical tool of the medical tool control device on the basis of the machine learning model from guide data generated using a blood vessel image; generating evaluation data of a position to which the distal end of the medical tool has been moved according to the operation command in a blood vessel image; and updating a parameter of the machine learning model by using the evaluation data, so as to train the machine learning model.

Method and apparatus for training machine learning model for determining operation of medical tool control device

An electronic device includes a processor configured to generate a position movement prediction field indicating prediction of a potential positional change of a branch path by a patient's biological activity for one or more branch paths based on a blood vessel image of a reference frame, correct guidewire information extracted from a blood vessel image of a target frame with respect to a catheter position of the reference frame, and select a branch path to dispose the guidewire information, among one or more branch paths of a blood vessel region based on the position movement prediction field and the corrected guidewire information; and a display configured to visualize the guidewire information on the selected branch path.

Device and method for detecting guidewire

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Seoul, South Korea

Jihoon Kweon