Medipixel, Inc.

Hwi Kwon

Jihoon Kweon

Young-Hak Kim

Kyo Seok Song

Hyunwoo Kim

Young In Kim

Min Hyung Kim

Yun Hee Lee

Jung-Min Ahn

Yoo Jung Kim

Jee One Park

Se Yeong Park

Wan Yeong Kim

Young Rak Choi

An electronic device for processing a blood vessel image according to an embodiment may include: an arc-shaped C-arm open toward the isocenter; a radiation source connected to the C-arm and emitting radiation to a target blood vessel located on a table; and a processor for computing a target distance from the radiation source to the target blood vessel, on the basis of a first vertical distance from the isocenter to the table and a second vertical distance from the target blood vessel to the table, and computing a physical distance of the target blood vessel by using the computed target distance, from a blood vessel image obtained using radiation.

Blood vessel image calibration method and device

A method for processing a cardiovascular image for detection of cardiovascular lesions is provided, which is performed by one or more processors of a computing device. The method includes receiving a cardiovascular image, acquiring a first image mask corresponding to at least a part of blood vessels included in the cardiovascular image, acquiring a centerline image mask corresponding to centerlines of at least the part of blood vessels included in the cardiovascular image, extracting a first image patch from the cardiovascular image, extracting a second image patch from the centerline image mask, generating a refined third image patch by performing, based on the first image patch and the second image patch, a local refinement, and generating, based on the refined third image patch and the first image mask, a refined second image mask.

Method and system for processing cardiovascular image for detection of cardiovascular legions

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

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

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Seoul, South Korea

Hwi Kwon