Abstract:
An image processing apparatus is disclosed. The present image processing apparatus includes an input unit to which an image is input; and a processor which extracts visual characteristics by reducing an input image and obtains a high-definition image by reflecting extracted visual characteristics on the input image. The disclosure relates to an artificial intelligence (AI) system and application thereof that simulate functions such as cognition and decision-making of a human brain using a machine learning algorithm such as deep learning.
Abstract:
An image processing apparatus is provided. The image processing apparatus according to an exemplary embodiment includes a communicator configured to receive an image, and a processor configured to generate a first image obtained by performing image processing on the received image by using a parameter for image processing, generate a second image obtained by reducing the first image at a predetermined ratio, and extract respective visual features from the first image and the second image, wherein the processor is further configured to adjust the parameter to allow a difference between the visual feature of the first image and the visual feature of the second image to be within a predetermined range.
Abstract:
Provided is an ultrasound diagnosis apparatus including a probe configured to transmit a plurality of plane waves at a plurality of steering angles and a controller configured to determine the plurality of plane waves so that a grating lobe of a synthetic transmit focusing beam pattern using the plurality of plane waves is located outside a region of interest.
Abstract:
Disclosed are an image processing apparatus, an image processing method and a recording medium thereof, the image processing apparatus including: a storage configured to store standard information about at least one anatomical entity; and at least one processor configured to detect regions corresponding to a plurality of anatomical entities based on a medical image obtained by scanning an object including the plurality of anatomical entities, to estimate a volume of a first anatomical entity at a predetermined point in time based on object information measured from the detected regions of the anatomical entity and the standard information stored in the storage, and to provide information about condition of the first anatomical entity based on the estimated volume. Thus, it is possible to make a diagnosis more simply and accurately by determining condition information of an anatomical entity at a point in time for the diagnosis based on a randomly taken medical image.
Abstract:
Provided are a method and apparatus for processing a magnetic resonance (MR) image of an object including first and second materials on a magnetic resonance imaging (MRI) apparatus by using multi-parameter mapping including applying to the object a plurality of radio frequency (RF) pulses separated by a first repetition time and a second repetition time, the first repetition time and the second repetition time being determined based on the first material and the second material; undersampling first MR signals corresponding to the first material and second MR signals corresponding to the second material in a K-space; and performing matching between the undersampled first and the undersampled second MR signals and a signal model for the multi-parameter mapping to determine attribute values corresponding to the first and the second materials at at least one point in an MR image of the object.