Korea Institute of Science and Technology

Deuk Hee Lee

Se Hyung Park

Lae Hyun Kim

Young Jun Kim

Sun Hee Kim

Hyun Chul Cho

Hyun Jeong Kim

Sung Hwan Lim

Sang Kyun Shin

Jun Hyoung Ha

Wan Joo Park

Seung Jae Shin

The present invention relates to a pose estimation method of an interventional medical device using a single-view X-ray image which is captured using a bendable interventional medical device equipped with a plurality of radiopaque markers and using an X-ray source. The pose estimation method includes an operation (a) of defining a circle assuming that the interventional medical device is bent at a constant curvature, an operation (b) of extracting a position value of the marker from an X-ray image obtained by the X-ray source projecting X-rays onto the markers, and an operation (c) of setting a projection plane and estimating a shape of the circle using a position value of the marker extracted from a projected image obtained by perspective-projecting the circle onto the projection plane and using the position value of the marker extracted from the X-ray image.

Pose estimation method of bendable interventional medical device using single-view x-ray image

Disclosed is a method for forming a three-dimensional (3D) model of skin and mandible by automatic medical image segmentation which is performed in an automatic image segmentation and model formation server. The method includes (a) receiving 3D medical image data that is a set of two-dimensional (2D) images for horizontal planes of a face, (b) obtaining a contrast histogram based on distribution of contrasts of the 3D medical image data, and segmenting the 3D medical image data for the face into multiple regions separated into at least one partial region based on the contrast histogram, (c) extracting only the face by removing portions other than the face from the multiple regions for the face, and extracting a skin region of the face, (d) extracting the mandible from each of the 2D images for the horizontal planes of the face through a 2D detailed segmentation technique using an active contour method based on a level set function, and (e) reconstructing the extracted skin region and mandible as the 3D model.

Method for forming 3D maxillofacial model by automatically segmenting medical image, automatic image segmentation and model formation server performing the same, and storage medium storing the same

Provided is an injection simulation system and method. The system includes a syringe comprising an injection needle, a haptic unit which measures an insertion angle and insertion depth of the injection needle, and which comprises a motor unit that is driven by a haptic force corresponding to the measured insertion angle and insertion depth. The system also includes a control unit which calculates the haptic force corresponding to the insertion angle and the insertion depth, and transmits the calculated haptic force to the motor unit of the haptic unit.

Injection simulation system and method

The 3-dimensional tracking system according to the present disclosure includes: a photographing unit for photographing an object; a recognizing unit for recognizing a marker attached to the object by binarizing an image of the object photographed by the photographing unit; an extracting unit for extracting a 2-dimensional coordinate of the marker recognized by the recognizing unit; and a calculating unit for calculating a 3-dimensional coordinate from the 2-dimensional coordinate of the marker by using an intrinsic parameter of the photographing unit.

3 dimension tracking system for surgery simulation and localization sensing method using the same

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Seoul, South Korea

Deuk Hee Lee