Samsung Electronics Co., Ltd.

Praveen Gulaka

Sang-cheon Choi

Yeon-ju Lee

Dmitry Korobchenko

Hyun-hee Jo

Mikhail Yurievich Sirotenko

Girish Srinivasan

Yang-lim Choi

Jae-Moon Jo

Jae Moon Jo

Alexey Bronislavovich Danilevich

Mikhail Nikolaevich Rychagov

Se-Jin Yoo

Keum Yong Oh

Yang Lim Choi

Jun Ki Lee

Joon Soo Kim

Young-ha Kim

Hyun Hee Jo

Yeol Min Seong

Artem Sergeevich Migukin

Yeon-Ju Lee

Michail Nikolaevich Rychagov

Je-yong Shin

Soo-in Cho

Sergey Konstantinovich Ternovoy

Merab Archil'evich Sharia

Dmitry Vladimirovich Ustuzhanin

Sang Cheon Choi

Kirill Arthurovich Gavrilyuk

Dmitry Alexandrovich Korobchenko

A medical image providing apparatus includes: a display configured to display a first image including an object; and a processor. The processor is configured to: while the first image is displayed, control to output, on the display, a list including second medical images, wherein each of the second medical images is reconstructed by one of a plurality of medical images reconstruction techniques using image data of a first region in the first image; control to output, on the display, a manipulation menu item for manipulating at least one of the second medical images included in the list; based on a selection of the manipulation menu item corresponding to one of the second medical images, receive a manipulation input corresponding to the selected manipulation menu item; and update the second medical image corresponding to the selected manipulation menu item by applying the manipulation input.

Medical image providing apparatus and medical image processing method of the same

A medical image providing apparatus includes: a display configured to display a first image including an object; and a processor configured to control to output a first list for selecting a medical image reconstruction technique to generate a second image based on a first region included in the first image being selected, receive a selection of the medical image reconstruction technique, and to control to overlay and display the second image generated by applying the selected medical image reconstruction technique on the first region of the first image.

Provided is a magnetic resonance imaging (MRI) apparatus including an acquisition unit configured to acquire an undersampled spectrum in a k-space and a reconstruction unit configured to generate a target image based on the undersampled spectrum, wherein the reconstruction unit includes: a first sub-reconstruction unit configured to perform initial reconstruction on data corresponding to unsampled positions in the k-space by using a Split Bregman algorithm or approximate sparse coding; a second sub-reconstruction unit configured to decompose the initially reconstructed spectrum in the k-space into multiple frequency bands to thereby generate a plurality of individual spectra and perform dictionary learning reconstruction on images respectively corresponding to the decomposed multiple frequency bands by alternating sparse approximation and reconstructing of measured frequencies; and an image generator configured to generate a target image by merging together the reconstructed images respectively corresponding to the multiple frequency bands.

Magnetic resonance imaging device and method for generating magnetic resonance image

Provided is a medical imaging apparatus including: a display configured to display a first image including an object; a user interface (UI) configured to output a first list comprising at least one protocol applied while scanning the object in response to in response to a first region included in the first image being selected, and to receive a selection of a first protocol included in the first list; and a controller configured to control to overlay and display a second image reconstructed by using image data obtained by applying the first protocol on the first region of the first image.

An MRI apparatus includes: a receive coil assembly including channels, and configured to receive an MR signal from an object; a data generator configured to generate undersampled image data on a k-space based on the MR signal; and a reconstructed image generator configured to generate a first reconstructed image from the undersampled image data using a parallel imaging method, and a second reconstructed image from the undersampled image data using compressed sensing. According to the MRI apparatus, since image reconstruction is performed using random undersampled image data, a parallel imaging method, and compressed sensing, it is possible to increase a speed of image acquisition and, at the same time, to improve the quality of images.

Magnetic resonance imaging apparatus and control method for reconstruction of undersampled data

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

An MRI apparatus includes a data processor for obtaining first k space data including a first unacquired line by undersampling an MR signal based on a first value of an MR parameter, and for obtaining second k space data including a second unacquired line by undersampling an MR signal based on a second value of the MR parameter; and an image processor for interpolating a portion of first unacquired line data in the first k space data based on the second k space data, and a portion of second unacquired line data in the second k space data based on the first k space data.

Magnetic resonance imaging apparatus and method of operating the same

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

A medical image processing apparatus includes a data acquirer that scans an object with a fiducial marker attached thereto to acquire volume data, and a data processor that estimates a plane of interest, based on a position of the fiducial marker and a position of a landmark in the volume data.

Medical image processing method and apparatus for determining plane of interest

A method of automatically registering landmarks in a 3-dimensional (3D) medical image includes obtaining a 3D image; determining a set of search points based on a statistical atlas attached to a bounding box corresponding to a part of the 3D image; extracting features of the determined set of search points; forming a set of candidates for a landmark based on the extracted features; filtering the candidates and outputting remaining candidates among the candidates based on the filtering; and outputting a final position of the landmark based on one of the remaining candidates.

Apparatus and method for automatically registering landmarks in three-dimensional medical image

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.

Magnetic resonance imaging apparatus and magnetic resonance image processing method

Provided is a medical image providing apparatus including: a display configured to display a first image including an object; a user interface (UI) configured to output a first list comprising at least one protocol applied while scanning the object in response to in response to a first region included in the first image being selected, and to receive a selection of a first protocol included in the first list; and a controller configured to control to overlay and display a second image reconstructed by using image data obtained by applying the first protocol, on the first region of the first image.

A method of automatic planning of a view in a 3D image of a brain includes A method of automatic planning a view in a three-dimensional (3D) image of a brain includes selecting a plurality of axial working sections and a plurality of coronal working sections in the 3D scout image; constructing at least one mid-sagittal plane of the brain based on a set of axial reference lines and a set of coronal reference lines obtained from the selected plurality of axial working sections and the selected plurality of coronal working sections, respectively; detecting at least one landmark that is an anatomical point in the at least one mid-sagittal plane; creating a first reference line based on the at least one landmark detected in the at least one mid-sagittal plane; and planning a scan in an orientation based on the at least one mid-sagittal plane and the first reference line.

System and method for automatic planning of views in 3D images of brain

Provided is medical equipment and a technique for analyzing medical images. A method for automatically planning views in three-dimensional (3D) medical images includes: estimating a statistical model indicating positions of anatomical points, the statistical model having parameters calculated by minimizing energy of a loss function; training an anatomical point detector to detect the plurality of anatomical points by using the estimated statistical model; acquiring a 3D image having a region of interest; detecting a set of candidates of the anatomical points in the 3D image; searching the set of candidates for an optimal configuration corresponding to the plurality of anatomical points; and forming a view plane based on the optimal configuration found by the searching.

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Suwon-si, South Korea

Praveen Gulaka