Samsung Electronics Co., Ltd.

Korea Advanced Institute of Science and Technology

Seoul National University

Yonsei University

Sogang University Research Foundation

Sogang University Research & Business Foundation

Yong-sup Park

Woo-hyun Nam

Jae-Sung Lee

Ji-hun Oh

Tammy Lee

Min-su Cheon

Il-jun Ahn

Ki-heum Cho

Yun-sub Jung

Tai-Kyong Song

Kang-won Jeon

Hyun-taek Lee

Sua Bae

Gye-hyun Kim

Hee-Seok Oh

Mun-kyeong Hwang

Jae-yeon Park

Dong-hyun Kim

Hyun-jung Kim

Yoon-mi Hong

Jong Beom Ra

Young-chul Cho

Chang-han Kim

Parichay Kapoor

Yongjin Chang

Min-oh Kim

Do-sik Hwang

Yeong-gil Shin

Jin-wook Chung

Ji-hye Kim

Yunje Cho

Dong-yeob Han

Jong-buhm Park

Kwang-hoon Son

Yong-geun Lee

Lae-hoon Kang

Ji-Hun Oh

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.

Image processing apparatus, image processing method, and computer-readable recording medium

Disclosed is an image processing apparatus. The present image processing apparatus comprises: an input unit for inputting an image; and a processor for shrinking the inputted image to a predetermined ratio, extracting a visual feature from the shrunken image, performing an image quality enhancement process reflecting the extracted visual feature in the inputted image, repeatedly performing, for a predetermined number of times, the shrinking, the extracting, and the image quality enhancement process on the image that has undergone the image quality enhancement process. The present disclosure relates to an artificial intelligence (AI) system and an application thereof that simulate the functions of a human brain, such as recognition, judgment, etc., by using a machine learning algorithm such as deep learning, etc.

Image processing apparatus and image processing method

The present invention relates to an image processing apparatus, an image processing method, and a recording medium for recording the same, the image processing apparatus including a storage configured to comprise a standard database (DB) established based on information about a predetermined anatomical entity; and at least one processor configured to obtain a local motion vector by registration between a first medical image and a second medical image taken by scanning an object including the anatomical entity, use a predictive local motion vector generated from the standard DB to normalize the local motion vector according to a plurality of regions in the anatomical entity, and make information about conditions of the anatomical entity based on the normalized local motion vector be provided according to the plurality of regions. By the normalization according to the regions, it is possible to provide distinguishable information about difference between the local motion vector of a pulmonary disease patient to be subjected to a diagnosis and a predictive local motion vector of a normal person generated from the standard DB through the statistical modeling using bio-information of a patient.

Image processing apparatus, image processing method, and recording medium recording same

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.

Ultrasonic diagnostic apparatus and method for controlling ultrasonic probe to transmit a plurality of plane wave sets at a plurality of steering angles so that a grating lobe is outside a region of interest

An image processing apparatus is provided. The image processing apparatus includes a processor configured to, in response to an image including a plurality of frames being input, change a predetermined parameter to a parameter corresponding to a compression rate of each of the plurality of frames for each frame, and process the input image by using the parameter changed for each frame, and an output interface configured to output the processed image.

Image processing apparatus, method for processing image and computer-readable recording medium

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.

A super-resolution processing method of a moving image is provided. The super-resolution processing method of a moving image includes sequentially inputting a plurality of input frames included in the video to any one of a recurrent neural network (RNN) for super-resolution processing and a convolutional neural network (CNN) for super-resolution processing, sequentially inputting a frame sequentially output from the any one of the RNN and the CNN to an additional one of the RNN and the CNN, and upscaling a resolution of the output frame by carrying out deconvolution with respect to a frame sequentially output from the additional one of the RNN and the CNN.

Super-resolution processing method for moving image and image processing apparatus therefor

An ultrasonic device provides a wider image to a user of the device and includes a transducer for transmitting a plane wave; and a processor for controlling the transducer to sequentially transmit plane waves in a plurality of different travelling directions and thereby extend a transmission range in which the plane waves travel, where the transducer receives a plurality of ultrasonic signals which are reflected from an object by each of the transmitted plane waves, and the processor synthesizes the plurality of received ultrasonic signals so as to image at least a predetermined partial region in the extended transmission range.

Ultrasonic device and ultrasonic imaging method

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

Image processing apparatus and image processing method thereof

Disclosed are a medical image display device for displaying a screen including a medical image and a medical image processing method thereof, the medical image display device comprising: a display configured to display a first medical image obtained by photographing an object comprising at least one anatomical entity; and at least one processor configured to extract reference region information corresponding to the anatomical entity from at least one second medical image used as a reference image for the first medical image, detect a region corresponding to the anatomical entity from the first medical image based on the extracted reference region information, and control the display to display the region of the detected anatomical entity to be distinguishable from at least one region unrelated to the anatomical entity.

Medical image display device and medical image processing method

A method of processing a medical image includes acquiring a three-dimensional (3D) medical image indicating a blood vessel and a two-dimensional (2D) medical image indicating the blood vessel, determining a blood vessel area in the 3D medical image corresponding to a partial area of the blood vessel in the 2D medical image, and matching the blood vessel area with the partial area in the 2D medical image.

Medical imaging device and medical image processing method

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.

Image processing apparatus, image processing method and recording medium thereof

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.

Method and apparatus for quantifying properties of an object through magnetic resonance imaging (MRI)

A medical imaging apparatus includes a data acquirer configured to acquire measured data acquired by detecting an X-ray transmitted by an X-ray source to an object, and an image processor configured to acquire an initial image based on the measured data, alternately estimate region of interest (ROI)-outside measured data and ROI-inside measured data based on the measured data and the initial image, and acquire a reconstructed image based on the ROI-inside measured data.

Medical imaging apparatus and method for processing medical image

A method of reconstructing a tomography image and a tomography apparatus configured to reconstruct a tomography image are provided. Tomography data corresponding to a moving object is acquired by performing a tomography scan on the object, and a tomography image is reconstructed using prior images obtained based on the acquired tomography data.

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Seoul, South Korea

Yong-sup Park