Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A medical imaging apparatus is provided. The medical imaging apparatus includes a table on which a subject lies and that carries the subject; a gantry that forms an internal space and scans the subject carried into the internal space; a screen unit mounted on the gantry or outside the gantry; and an image projector that projects an image onto the screen unit. In accordance with embodiments of the medical imaging apparatus, various content may be provided for a person subject to scanning to relieve his/her boredom or inconvenience during the scanning process.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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

Abstract: 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.

Abstract: A method and an apparatus for processing a magnetic resonance (MR) image of an object, are provided. The method includes receiving a user input for displaying, on a screen, first MR images and second MR images that are obtained by performing an MR imaging (MRI) scan on the object at different times, classifying the first MR images into a plurality of first series according to a protocol of the object, and displaying the plurality of first series in a first region of the screen. The method further includes classifying the second MR images into a plurality of second series respectively corresponding to the plurality of first series, the plurality of second series being arranged in a second order that is same as a first order of the plurality of first series, and displaying the plurality of second series in a second region of the screen.