Abstract:
A medical image displaying apparatus includes: a user interface configured to receive a user input with respect to an object that is movable; a display configured to display the object on a medical image in response to the user input; and a controller configured to move the object and change a velocity of the object based on a property of the object.
Abstract:
A medical image displaying apparatus includes: a user interface configured to receive a user input; a display configured to switch a first medical image to a second medical image included in a plurality of medical images, and display the second medical image, based on the user input; and a controller configured to change a switching speed from the first medical image to the second medical image based on whether the first medical image includes user content.
Abstract:
A method and apparatus for displaying a medical image of an object. A user input is received to select at least one position in a 2D medical image generated from volume data representing the object. A space region in the volume data is determined, which includes the selected position, where the space region is based on brightness of voxels included in the volume data. A 3D medical image is generated and displayed, representing the determined space region by performing volume rendering on the volume data. The space region may be a region of an organ, tissue, tumor, etc., of the overall object, which includes the position selected on the 2D image.
Abstract:
An MRI method includes detecting movement of an object while a protocol is executed to capture an image of a region of the object, and outputting information indicating occurrence of the movement, based on a value of a movement amount.
Abstract:
A method for monitoring a condition of an object includes obtaining a condition signal of the object in an operation of imaging the object to obtain a medical image of the object; determining whether the condition of the object is an abnormal condition based on the condition signal, by using a model that is set to determine the abnormal condition of the object; and in response to determining that the condition of the object is the abnormal condition, performing an operation corresponding to the abnormal condition of the object, wherein the model is generated by learning data obtained in relation to the object by using an artificial intelligence (AI) algorithm.
Abstract:
An MRI method includes detecting movement of an object while a protocol is executed to capture an image of a region of the object, and outputting information indicating occurrence of the movement, based on a value of a movement amount.
Abstract:
A magnetic resonance imaging (MRI) apparatus and a method of processing an MR image are provided. The MRI apparatus includes a scanner configured to acquire a first image that is a T1-weighted image and a second image that is a fluid attenuated inversion recovery (FLAIR) image by performing an MRI scan on a brain. The MRI apparatus further includes an image processor configured to determine a white matter region in the second image based on the first image and the second image, and detect a white matter hyperintensity (WMH) region in the determined white matter region. The MRI apparatus further includes an output interface configured to display the detected WMH region and a change in the WMH region over time.