Abstract: A lesion diagnosis apparatus and method for diagnosing images in real time to notify a user that a lesion is detected and providing the user with information about the detected lesion, thereby enhancing accuracy and convenience in a diagnosis. The lesion diagnosis apparatus includes a diagnoser configured to diagnose lesions in images received from a probe; and a guide information provider configured to notify a user that a lesion is detected and to provide guide information, when the lesion is detected.

Abstract: An apparatus and a method for supporting acquisition of a multi-parametric image are provided. An apparatus for supporting acquisition of a multi-parametric image includes: a disease selector configured to select a suspected disease of a patient based on patient information; and an image selector configured to determine a set of imaging conditions of a multi-parametric magnetic resonance image corresponding to the suspected disease based on a multi-parametric magnetic resonance imaging model.

Abstract: There are provided an apparatus and a method for acquiring multi-parametric images from an MRI device. In one general aspect, the apparatus for acquiring multi-parametric images includes an image analyzer configured to determine a significance level of each of a plurality of multi-parametric images relating to a disease, and to determine an acquisition order of the multi-parametric images relating to the disease; and a model constructer configured to construct an acquisition model of the multi-parametric images based on the acquisition order and the multi-parametric images to be used in diagnosing the disease.

Abstract: A computer-aided diagnosis (CAD) method includes extracting a lesion feature value of a lesion feature of a lesion from a captured lesion image; receiving additional information; and diagnosing the lesion based on a combination of the extracted lesion feature value and the received additional information.

Abstract: An apparatus and method for aiding diagnosis are provided.

Abstract: An apparatus for analyzing a medical image includes an image receiving unit configured to receive two or more medical images from a medical device; a image registration unit configured to register the two or more received medical images; an overlapped area detecting unit configured to detect overlapped areas in the two or more registered medical images; and a lesion analyzing unit configured to analyze lesions in the two or more registered medical images by employing different analysis techniques in the detected overlapped areas.

Abstract: A method and apparatus for segmenting a contour in an image is provided. The method for segmenting a contour in an image at a processor comprising: creating an initial individual by creating an arbitrary encoding value with respect to an image pixel; creating at least one offspring individual using the initial individual; selecting at least one offspring individual with high fitness from the created offspring individuals; and deriving an individual with highest fitness as a final contour from the selected offspring individuals.

Abstract: An apparatus and a method for diagnosis are provided. The apparatus for diagnosis lesion include: a model generation unit configured to categorize learning data into one or more categories and to generate one or more categorized diagnostic models based on the categorized learning data, a model selection unit configured to select one or more diagnostic model for diagnosing a lesion from the categorized diagnostic models, and a diagnosis unit configured to diagnose the lesion based on image data of the lesion and the selected one or more diagnostic model.

Abstract: Provided are apparatuses and methods for analyzing a lesion in an image. A Threshold Adjacency Statistics (TAS) feature may be extracted from a medical image, and a pattern of the lesion may be classified using the extracted TAS feature.

Abstract: An efficient method of motion estimation is provided. The method includes receiving a plurality of macroblocks in a reference frame, wherein the plurality of macroblocks are used for motion estimation related to a current frame, and performing the motion estimation for a plurality of macroblocks in the current frame by using the received plurality of macroblocks in the reference frame.

Abstract: A diagnostic imaging apparatus and method are provided. The diagnostic imaging apparatus includes a detection unit configured to detect a lesion from a medical image, an interpretation unit configured to acquire a shape feature value by interpreting a shape of the detected lesion in a frequency domain, and a diagnosis unit configured to determine whether the detected lesion is benign or malignant based on the acquired shape feature value.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: An apparatus and method for diagnosing a lesion are provided. The apparatus includes an acquisition unit configured to acquire first blood-vessel information regarding a blood vessel from an image including the blood vessel, and an extraction unit configured to extract one or more tissue regions from the image based on the first blood-vessel information.

Abstract: An apparatus for extracting a candidate image frame includes a generating unit configured to generate at least one lesion value that represents a characteristic of a lesion included in each of a plurality of 2-dimensional image frames that form a 3-dimensional image, and an extracting unit configured to extract, from the image frames, at least one candidate image frame usable for correcting a boundary of the lesion based on the at least one lesion value.

Abstract: An apparatus for detecting a lesion is provided. The apparatus includes an extracting unit configured to extract at least one tissue region from an image of tissue regions, a setting unit configured to set at least one of the at least one extracted tissue region as a lesion detection candidate region, and a detecting unit configured to detect a lesion from the lesion detection candidate region.

Abstract: An apparatus for analyzing an ultrasonic image is provided. The apparatus includes a feature point extracting unit configured to convert the ultrasonic image into a phase information image and extract a feature point from the phase information image, and an image registering unit configured to perform an image registration on the ultrasonic image based on the extracted feature point.

Abstract: In a method and an apparatus for automatically generating an optimal 2-dimensional (2D) medical image from a 3D medical image, at least one virtual plane crossing a 3D volume is generated from 3D volume image data for showing part of a patient's body in a 3D manner, at least one 2D image representing a cross section of the part of the patient's body is generated by applying the 3D volume image data to the virtual plane, and a 2D image suitable for diagnosis of the patient having a feature most similar to a target feature from among the at least one 2D image is output.

Abstract: A video encoding apparatus and method to distribute one or more macroblocks, classified into the same slice group, over an entire frame, according to the H.264 standard.

Abstract: An apparatus and method for improving the transmission quality of data in a cloud computing environment are provided. The cloud computing system includes a terminal and a server for executing an application requested by the terminal. The server, according to a result of the application execution, specifies a region of interest in a data stream which is received from the terminal. The terminal, based on the specified region of interest, adjusts settings such that the region of interest in the data stream has a transmission quality that is different from a transmission quality of remaining regions of the data stream to be transmitted to the server.

Abstract: A transcoding system and method effectively synchronize segmentation metadata with A/V content when converting an MPEG stream to another format stream using a segment browser. The transcoding system includes a timing synchronizer, which adjusts the timing parameters so that the video data can be synchronized with segmentation metadata even after the transcoding process, a transcoding condition determiner, which determines transcoding conditions suitable for an end user environment, and an encoder, which compresses a video sequence reconstructed from the video data according to the transcoding conditions determined by the transcoding condition determiner and records a presentation time stamp, which is one of the adjusted timing parameters, in the compressed video sequence.