Samsung Electronics Co., Ltd.

Na Hyup Kang

Hyong Euk Lee

Kyung Hwan Kim

Sang Wook Kim

Ji Yeon Kim

Sung H Hong

Do Kyoon Kim

In Woo Ha

Tae Hyun Rhee

Disclosed is a method and apparatus for three-dimensional (3D) rendering, the apparatus including a processor configured to extract shading information, visibility information and shape information from a region of an input image, determine a light source based on the shading information, the visibility information, and the shape information of the region, and generate a 3D rendering image by rendering the input image based on the determined light source.

Method and apparatus for three-dimensional (3D) rendering

A method and an apparatus for diagnosing cardiac diseases based on a cardiac motion modeling are provided. The method may include applying physical characteristics of a cardiac motion to a 3D heart shape model, deriving a boundary condition by fusing the 3D heart shape model to which the physical characteristics are applied and a plurality of cardiac ultrasound images according to a temporal change, obtained to acquire a dynamic image, and diagnosing the cardiac diseases using a result of modeling that models the cardiac motion of the user using the boundary condition.

Method and apparatus of diagnosing cardiac diseases based on modeling of cardiac motion

A method of determining a required blood flow includes obtaining morphological information of a coronary artery in a cardiac image, segmenting the cardiac image into at least one myocardial region based on the morphological information of the coronary artery, and determining a blood flow required for each of the at least one myocardial region.

Method and apparatus for determining blood flow required, method and apparatus for producing blood flow image, and method and apparatus for processing myocardial perfusion image

Provided is an apparatus and method to create a model of a target organ of a patient. The apparatus and method generate a deformation matrix between at least two shape models of a target organ based on at least two three-dimensional (3D) images of the target organ. The apparatus and method also extract constraints about the target organ from a two-dimensional (2D) image of the target organ. The apparatus and method create the model of the target organ based on the constraints and the deformation matrix.

Method and apparatus for creating model of patient specified target organ

A method of creating a model of an organ, includes creating a shape model, including a blood vessel structure, of the organ based on three-dimensional (3D) images of the organ, and compartmentalizing the shape model into areas based on an influence of a blood vessel tree with respect to a deformation of the shape model, the blood vessel tree indicating the blood vessel structure. The method further includes deforming the blood vessel structure of the shape model to fit a blood vessel structure of a two-dimensional (2D) image of the organ, and creating the model of the organ based on the deformed blood vessel structure and the areas.

Method and apparatus for creating model of patient specified target organ based on blood vessel structure

A vessel segmentation method includes acquiring an image of a blood vessel, including cross sections, using a contrast medium. The method further includes setting a threshold value for each of the cross sections based on data of an intensity of the contrast medium. The method further includes performing vessel segmentation based on the image and the threshold value for each of the cross sections.

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Seoul, South Korea

Na Hyup Kang