Samsung Electronics Co., Ltd.

Hyun-hee Jo

Praveen Gulaka

Yang-lim Choi

Se-Jin Yoo

Joon-soo Kim

Jae-Moon Jo

Dae-hwan Kim

Sung-pil Jung

Je-yong Shin

A medical image processing apparatus and method are provided. The medical image processing apparatus includes a controller configured to acquire an icon based on information in a medical image file of an object, the icon having a shape of the object and comprising one or more sub-icons, and a display configured to display the icon. Each of the one or more sub-icons corresponds to an anatomical region of the object is configured to accept input to perform one or more image processing functions associated with the corresponding anatomical region.

Medical image processing apparatus and method

Provided are a magnetic resonance (MR) image processing method and an MR image processing apparatus. The MR image processing apparatus includes: a signal transceiver that transmits or receives a signal to or from the heart; and an image processor that obtains a plurality of MR images of the heart by using the transmitted or received signal, determines at least one contour from each of the plurality of MR images; obtains first information about a first region formed by the at least one contour; and detects an apex MR image or a base MR image of the heart from among the plurality of MR images based on the first information, wherein a location of an apex or a base is automatically detected from a plurality of short-axis MR images of the heart.

Magnetic resonance image processing method and magnetic resonance image processing apparatus

A medical imaging apparatus includes: an output unit configured to display a magnetic resonance (MR) image matrix in which MR images, obtained by performing magnetic resonance imaging on a heart, are arranged in columns and rows; and an image processor configured to display at least one first indicator which indicates a column of the MR image matrix corresponding to at least one of end diastole and end systole and display at least one second indicator which indicates a row of the MR image matrix corresponding to at least one of an apex and a base of the heart, wherein the columns of the MR image matrix are arranged according to time when MR images included in the columns are captured, and the rows of the MR image matrix are arranged according to a position on a longitudinal axis of the heart corresponding to MR images included in the rows.

Medical imaging apparatus and method of processing medical image

A method of providing multimodal medical images includes: loading first image data and second image data obtained by two different imaging modalities; generating object modeling data based on at least one of the first image data and the second image data; and displaying, on a display, the first image data, the second image data, and the object modeling data. The object modeling data is a virtual model of a body tissue of an object.

Method of and apparatus for providing medical image

A medical imaging apparatus and a method of processing a medical image. The medical imaging apparatus includes: an image processor configured to respectively determine color values for subregions of an organ based on at least two of first through third analysis values for each of the subregions. A display outputs display of a first map image obtained by respectively mapping the determined color values to the subregions and indicating the determined color values on the subregions. In the case where the image of the organ is a heart, the different parts of the heart correspond to respective subregions, and an indication of a probability of disease corresponds to a plurality of colors in a color map of the regions.

Medical imaging apparatus and medical image processing method thereof

Disclosed are a method for processing a magnetic resonance (MR) image of a dynamic object and an MRI apparatus. The method includes receiving, from the dynamic object, a plurality of MR signals that correspond to a plurality of time sections and a plurality of slices, generating a plurality of MR images by using the plurality of MR signals, performing segmentation of each of the plurality of MR images into a plurality of regions, determining whether a segmentation error occurs in each of the plurality of MR images, and arranging the plurality of MR images to correspond to the respective time sections and the respective slices to display a matrix image, based on a result of the determining.

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Osan-si, South Korea

Hyun-hee Jo